Online Course in Computer Science in India

Find Online Courses in Computer Science in India 2017

Computer Science

India, officially the Republic of India, is a country in South Asia. It is the seventh-largest country by area, the second-most populous country with over 1.2 billion people, and the most populous democracy in the world

Online Course in Computer Science in India

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Salesforce Certification Training

Edureka
Online Full time Part time 20 days Open Enrollment India India Online + 1 more

Edureka's Salesforce Certification Online Training will make you an expert in all the concepts related to administration and declarative development options. It will introduce you to the advanced developer options like Apex and VisualForce. It will also help you prepare for Salesforce Certification (both SFDC Admin 201 & App Builder Certification) [+]

Online Courses in Computer Science in India. About Salesforce Training Edureka's Salesforce Certification Online Training will make you an expert in all the concepts related to administration and declarative development options. It will introduce you to the advanced developer options like Apex and VisualForce. It will also help you prepare for Salesforce Certification (both SFDC Admin 201 & App Builder Certification) Why Learn Salesforce? After the successful completion of the Salesforce Certification Training: Admin 201 & App Builder by edureka, you will be able to understand: Different building blocks of Salesforce The data model The security model The business process automation options The Sales Cloud and Service Cloud modules The reports and dashboard Salesforce1, SalesforceA, Chatter and Social features Introduction to Apex Introduction to VisualForce Introduction to various integration options like SOAP, REST APIs Who should go for Salesforce Certification training? This Salesforce Certification training at edureka is suitable for all professionals who are passionate about CRM and cloud computing. But typical profiles, but not limited to, who go for salesforce training are: Siebel and other CRM products professionals Experienced professionals who are looking to have an exciting career in the leading Cloud Computing platform Functional consultants who are looking to switch to salesforce Freshers who are looking to get a jump start to their careers in Cloud computing Lateral developers who have worked in Java, mainframe and C# and are looking for a boost to their career from legacy platform What are the pre-requisites for Salesforce Certification training? Salesforce Certification training at edureka does not require any specific pre-requisites. But any working knowledge as an administrator or a developer or a functional consultant will be handy Projects Problem Statement Case Study 1: Student App for Cloud University Industry Description: Create a student app for cloud university to automate the student performance tracking during their tenure in the university, student requests and extra-curricular activities they participate in during the time they spend in the university Case Study 2: Event Management app for hospitality industry Description: Create an app for Event Management that takes care of - Event Registrations, Confirmations, Cancellations, Speaker associations and other event related activities Tools used: Developer edition of Salesforce Certification Edureka Certification Process At the end of your training, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work on. Once you successfully complete the project, you will be awarded edureka’s "Salesforce Expert Certificate". If your project is not approved in first attempt, we’ll offer you additional assistance to help you understand the concepts better and re-attempt the project at no extra cost. edureka certification has industry recognition and we are the preferred training partner for many MNCs including e.g. Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon This will be a verifiable certificate which can be easily validated on our website. Training Features Instructor-led Sessions There will be 14 instructor-led interactive online sessions of 3 hours and 20 sessions of 2 hours for weekend and weekday batches respectively Real-life Case Studies Towards the end of the training, you will be working on a project where you will create a custom app on Force.com right from the scratch Assignments Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class Lifetime Access You get lifetime access to the Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there 24 x 7 Expert Support We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime Certification Edureka certifies you as a Salesforce Expert based on the project reviewed by our expert panel Forum We have a community forum for all our customers wherein you can enrich your learning through peer interaction and knowledge sharing [-]

Selenium WebDriver Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

Selenium is used for automating Web Applications. In this course you will experience to work with Data Driven Framework and Keyword Driven Framework and perform Cross browser testing. Selenium IDE, Selenium RC, Selenium WebDriver and Selenium-Grid are covered during the course. [+]

About The Course Selenium is used for automating Web Applications. In this course you will experience to work with Data Driven Framework and Keyword Driven Framework and perform Cross browser testing. Selenium IDE, Selenium RC, Selenium WebDriver and Selenium-Grid are covered during the course. You will learn to perform tests on multiple machines simultaneously running on different Operating Systems, integrate other frameworks like JUnit and TestNG with Selenium. Course Objectives After the completion of ‘Testing With Selenium WebDriver’ Course, you should be able to : Understand Selenium Architecture and its components Work with Selenium RC Execute Different Locator Techniques e.g by link, by text, by id, by css, by xpath etc. Understand Selenium WebDriver/ Selenium 2.0 Perform Cross browser testing with Mozilla Firefox, Google Chrome, Safari and Opera Use WebDriver advanced features e.g. taking screenshots, handling cookies and managing exceptions Validate page content using Selenium WebDriver API Create Data driven, Keyword driven and Hybrid test framework Record and importing tests with Selenium IDE Perform unit testing with JUnit Apply Test Driven Development(TDD) approach Code coverage report using Java Code Coverage(JaCoCo) to evaluate code execution Perform distributed testing using Selenium GRID Interact with images present on the web page with Sikuli Write Test cases using TestNG Automate windows applications with AutoIt Who should go for this course? Professionals from any domain can join the course as it does not require hard core programming knowledge. Selenium is a new and booming Technology in Software Industry that is widely accepted across all the industries. People with basic knowledge of Object Oriented Programming can easily take up this course. Pre-requisites The pre-requisite for this course is basic knowledge of Core Java. We provide a complimentary course "Java Essentials for Testing With Selenium WebDriver to all the participants who enroll for Selenium course. This course helps you brush up your Java skills needed to work on Selenium. In case you come across any doubt, the 24*7 support team will promptly assist you. Project Work Towards the end of the course you will be working on a Project where we will be automating a Web Application like Facebook/Twitter/Google+ or any government site to cover all the possible cases of interaction with application. Project will be Keyword Driven so that it should work as per user instructions. Test cases will be executed multiple times using Data Driven approach. Project will handle Textboxes, Links, Checkbox, Radio button, submit button, reset button, URL, Page Title, synchronization between pages when navigating from one page to another, taking screenshots of application for each of the validation of – verbose, textbox value, dynamic links, handling of dialog and alert box, fetching data from application. We will build this Project using Eclipse and Selenium WebDriver. Why learn Selenium? Selenium is an open source tool and covers all the scenarios what licensed tool like QTP, IBM RFT or other available tools in market can do. Performance, execution speed and browser interaction of Selenium is too fast than any other automation tool. Unattended execution can be achieved using Selenium Framework. Selenium supports different operating systems along with support for different programming languages and browsers, these features makes the Selenium ahead of any other Automation tool. Course Features Online Classes: 30 Hrs 10 live classes of 3 hrs each by Industry practitioner Assignments: 20 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project based on automating Web Applications Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Edureka certified 'Selenium Developer' based on your project performance, reviewed by our expert panel [-]

AWS Development Certification Training

Edureka
Online Part time 6 weeks Open Enrollment India India Online

Edureka's AWS Training, will introduce to the participants to explore and master AWS concepts and services offered by AWS. [+]

Online Courses in Computer Science in India. About The Course Edureka's AWS Training, will introduce to the participants to explore and master AWS concepts and services offered by AWS. Participants will be offered guidance and will share lot of demo's on each topic with real time examples on high availability, load balancing, data redundancy and day to day operations in managing cloud services. Participants will also get to implement one project towards the end of the course. Course Highlights 12 Instructor led Interactive online classes of 3 hours each. Assignments at end of each class to reinforce the concepts Project work at end of the course to give a complete hands on experience to participants on implementation of various AWS services. Lifetime access to Class recordings and presentations on edureka! Learning Management System (LMS). Lifetime access to installation guides, sample codes and project documents edureka! Learning Management System (LMS). 24x7 online support team available to help participants with any technical queries they may have during the course. A skill certificate in AWS Development Training from edureka! Course Objectives After the completion of the AWS Cloud course at Edureka, you will be able to: Understand the cloud concepts AWS services and operations Create / configure each service Real time scenarios on high availability / auto scaling Monitoring AWS services Big data & Analytic's Automation's using Java SDK/ AWS CLI Day to day cloud operations & maintenance of applications & services. Who should go for this course? The course is designed for all those who want to learn Cloud computing / Cloud automation's / Devops / Developing SAAS based products and applications Developers who want to develop SAAS based products and applications Developers who want to do develop cloud automation products Developers who want to analyse Big data and related ecospace products by using cloud services System / Network Administrators who want to build or migrate the on-premise infrastructure to AWS cloud Solution Architects who want to build / migrate the data centers to cloud and build DR sites in cloud Pre-requisites Anyone who has a good understanding of any one high-level programming level can join this program. Course Features Online Classes: 36 Hrs There will be 12 instructor led Interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is for lifetime. Assignments: 25 Hrs At the end of each class, the instructor will depict a hands-on for the various AWS services covered in the class. Based on the practicals shown, each class will be followed by assignments which can be completed before the next class. Step-wise solution for the assignments will also be provided, which can be referred for practicing. Also, the knowledge of the free tier of AWS will be given by the instructor so that ample hands-on can be done on different services. Our 24x7 expert support team is available to help through email, phone or Live Support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will work on a project where you will be expected to implement various AWS services. You will be given problem statements based on which you need to come up with the solutions on the Cloud. You are expected to complete your project logically and successfully. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka provides you a skill certificate in AWS Development Certification Training based on the project reviewed by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in AWS Development Training. [-]

Data Analytics with R Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

The Edureka Mastering Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It starts with the fundamental concepts of Data Manipulation, Exploratory Data Analysis etc before moving over to advance topics like [+]

About the Course The Edureka Mastering Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It starts with the fundamental concepts of Data Manipulation, Exploratory Data Analysis etc before moving over to advance topics like the Ensemble of Decision trees, Collaborative filtering, etc. Course Objectives After the completion of the Edureka Mastering Data Analytics with R course, you should be able to: Understand concepts around Business Intelligence and Business Analytics Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others Apply various supervised machine learning techniques Perform Analysis of Variance (ANOVA) Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc Use various packages in R to create fancy plots Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights Who should go for this Course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. What are the pre-requisites for this Course? The pre-requisites for learning 'Mastering Data Analytics with R' include basic statistics knowledge. We provide a complimentary course "Statistics Essentials for R" to all the participants who enroll for the Data Analytics with R Training. This course helps you brush up your statistics skills. Project Work Towards the end of the Course, you will be working on a live project. You can choose any of the following as your Project work: Project #1: Sentiment Analysis of Twitter Data Industry : Social Media Description : A sports gear company is planning to brand themselves by putting their company logo on the jersey of an IPL team. We assume that any team which is more popular on twitter will give a good ROI. So, we evaluate two different teams of IPL based on their social media popularity and the team which is more popular on twitter will be chosen for brand endorsement. The data to be analyzed is streamed live from twitter and sentiment analysis is performed on the same. The final output involves a comparable visualization plot of both the teams, so that the clear winner can be seen. The following insights need to be calculated : Setup connection with twitter using twitter package. And perform authentication using handshake function. Import tweets from the official twitter handle of the two teams using SearchTwitter function. Prepare a sentiment function in R, which will take the arguments and find its negative or positive score. Score against each tweet should be calculated. Compare the scores of both the teams and visualize it. Project #2: Census Data Analysis Industry : Government Dataset Description : Analyze the census data and predict whether the income exceeds $50K per year. Follow end to end modelling process involving: Perform Exploratory Data Analysis and establish hypothesis of the data. Test for Multi col-linearity, handle outliers and treat missing data. Create training and validation data sets using Stratified Random Sampling (SRS) of data. Fit Classification model on training set (Logistic Regression/Decision Tree) Perform validation of the models (ROC curve, Confusion Matrix) Evaluate and freeze the final model. Additional Resources: Here is the list of few additional case studies that you will get at edureka for deeper understanding of R applications. Study#1: Market Basket Analysis Industry: Retail - CPG Description: Market Basket Analysis is done to see if there are combinations of products that frequently co-occur in transactions. The analysis gives clues as to what a customer might have bought if the idea had occurred to them. This is done using the “Association Rules” on real-time data. In this case study, you shall understand various methods for finding useful associations in large data sets using statistical performance measures. You will also learn how to manage the peculiarities of working with transaction data. Data-set: The data set used here is from a grocery super store with 9835 rows of free flowing data without any labels. Study#2: Strategic Customer Segmentation for Retail Business Industry: E-Commerce, Retail Description: In this case study, we will consider the dataset from a UK-based online retail business for the last two years. The objective of this case study is to do customer segmentation in this data set. For this exercise, we are going to use customer’s recency, frequency and monetary (RFM) values. From these three derived values, we will segment entire customer base and will generate insights on the data set provided to do customer segmentation using RFM Model based Clustering Analysis. Data-set: comprises 0.5 million records and 8 variables. Each record is for one online order placed by the customer. Study#3: Pricing Analytics and Price Elasticity Industry: Retail Description: A retailer is planning to sell a new type of cheese in some of its stores. This is a pilot project for the retailer & based on the data collected during this pilot phase, retailer wants to understand a few things. To promote sales of cheese, the retailer is planning for two different types of in-store advertisement: Cheese as a natural product Cheese as a family caring product Now the retailer wants to know: Which in-store advertisement theme is better and giving better sales of cheese in the store? How the sales of cheese is reacting to its price change i.e. price elasticity? What is the impact of the price changes of other products in the same store (e.g. Ice-cream & Milk) on the sales of cheese i.e. cross-price elasticity. What should be the best price of cheese to maximize the sales and then do sales forecast. Data-set: The data set used in this case study will have the following columns - Price of Cheese Sales of Cheese Advertising method for cheese (either as a natural product or as a family product) Price of Ice cream Price of Milk Study#4: Clustering Application using Shiny Industry: Consumer Packaged Goods Description: Shiny turn your analyses into interactive web applications, it is a web application framework for R. The data set that we are using in this case study relates to the clients of a wholesale distributor. It comprises, the annual spending in monetary units (m.u.) on diverse product categories. With this data we want to create a web based shiny application which can segment customers of wholesale distributor based upon the parameter passed thru ui.r Data-set: The data set used in this case study has 440 rows of data and has the following attributes in columns - Channel Region Fresh Milk Grocery Frozen Detergents_Paper Delicatessen Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: www.edureka.co/blog/r-programming-for-data-science Course Features Online Classes: 24 Hrs 12 live classes of 2 hrs each by Industry practitioners Assignments: 30 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 25 Hrs Live project in Data Analytics using techniques of Regression, Predictive Analytics, Data Mining, etc. Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Edureka certified 'Data Analyst' based on your project performance, reviewed by our expert panel [-]

Apache Spark Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. [+]

Online Courses in Computer Science in India. About the Course This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path. Course Objectives After completing the Apache Spark training, you will be able to: Understand Scala and its implementation Master the concepts of Traits and OOPS in Scala programming Install Spark and implement Spark operations on Spark Shell Understand the role of Spark RDD Implement Spark applications on YARN (Hadoop) Learn Spark Streaming API Implement machine learning algorithms in Spark MLlib API Analyze Hive and Spark SQL architecture Understand Spark GraphX API and implement graph algorithms Implement Broadcast variable and Accumulators for performance tuning Project Who should go for this Course? This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for: Big Data enthusiasts Software Architects, Engineers and Developers Data Scientists and Analytics professionals What are the pre-requisites for this Course? A basic understanding of functional programming and object oriented programming will help. Knowledge of Scala will definitely be a plus, but is not mandatory. Project Work Project #1: Design a system to replay the real time replay of transactions in HDFS using Spark. Technologies Used: Spark Streaming Kafka (for messaging) HDFS (for storage) Core Spark API (for aggregation) Project #2: Drop-page of signal during Roaming Industry: Telecom Industry Problem Statement: You will be given a CDR (Call Details Record) file, you need to find out top 10 customers facing frequent call drops in Roaming. This is a very important report which telecom companies use to prevent customer churn out, by calling them back and at the same time contacting their roaming partners to improve the connectivity issues in specific areas. Why learn Apache Spark? In this era of ever growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightening fast big data analysis platforms. The following Edureka blogs will help you understand the significance of Spark training: www.edureka.co/blog/5-reasons-to-learn-apache-spark/ www.edureka.co/blog/apache-spark-with-hadoop-why-it-matters/ Course Features Online Classes: 24 Hrs 8 live classes of 3 hrs each by Industry practitioners. Assignments: 32 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to analyze data. Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects. 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s Apache Spark certificate. [-]

DevOps Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. [+]

About the Course This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. Course Objectives Edureka’s DevOps training is designed to help you become a DevOps practitioner. During this course, our expert DevOps instructors will help you: Understand DevOps Ecosystem Learn about automatic Source Code Management using GIT and Continuous Integration using Jenkins Understand, Build and Test Automation: how to build an appropriate delivery pipeline and perform test automation on it Understand Containerization using Docker: identify the difference between containers and VMs Master Docker Commands and Use-cases : deals with the various networking concepts in Docker, the best way to use the Docker Volume, and creating Docker file Master Puppet: learn Configuration management and "Infrastructure-as-Code". You can learn about the master-agent architecture and catalog compilation in Puppet Learn Continuous Monitoring using Nagios: integrate Jenkins, Docker and Puppet, and learn about system monitoring using Nagios and its components Execute a live Project Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 2 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server. Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. Why Learn DevOps ? Leading organizations across the world have adopted DevOps methodologies to overhaul their performance, security and team dynamics. With more and more companies jumping onto the DevOps bandwagon, it has emerged as a highly sought after skill to master. This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. These activities are possible only in DevOps, not Agile or waterfall, and this is why Facebook and other top companies have chosen DevOps as the way forward for their business goals. DevOps is the preferred approach to develop high quality software in shorter development cycles which results in greater customer satisfaction. Who should go for this Course? DevOps training is a must to do for IT professionals, who are: Systems Admins Developers Testers Solutions Architect Release Engineers Cloud Professionals DevOps practitioners are among the highest paid IT professionals today with salary ranging till $110K (source: indeed job portal), and the market demand for them is growing rapidly. You can check a blog related to DevOps Engineer Career Path. What are the pre-requisites for this Course? Professionals who are keen for the DevOps training should have IT experience. There are no other prerequisites. Projects Which Case-Studies will be a part of the Course? During the DevOps online training, you will get ample opportunities for practicals and project. You will be working on a live project throughout the DevOps training and shall execute the following assignments: Pull a Java web application with source code available on GitHub Build & run test cases using Jenkins Use Docker to create an instance to run unit test cases Build pipeline is modified to spin the image, run test cases and destroy the image when done Build pipeline to dynamically run acceptance test case Deploy application in a web farm (more than one server and a load balancer) On completion of acceptance tests, clean up the images Show how Jenkins, Docker and Puppet are used in conjunction together to build dynamic dev/test environments The integration of Jenkins, Docker, Puppet and Nagios with sample scripting Certification Edureka Certification Process: Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s DevOps certificate. edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc. Please be assured. Course Features Instructor-led Sessions There will be 24 hours of instructor led Interactive online classes and you will also get access to 2 self-paced videos with 12 hours content. Real-life Case Studies Live project based on any of the selected use cases, involving implementation of the various DevOps tools. Assignments Each class will be followed by practical assignments which can be completed before the next class. Lifetime Access You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS. 24 x 7 Expert Support We have 24x7 online support team available to help you with any technical queries you may have during the course. Certification Towards the end of the course, you will be working on a project. Edureka certifies you as an DevOps Expert based on the project. Forum We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing. [-]

Java/J2EE and SOA Certification Training

Edureka
Online Full time Part time 21 days Open Enrollment India India Online + 1 more

Edureka's Advanced Java Course is designed for students and professionals who want to be a Java Developer. [+]

Online Courses in Computer Science in India. About The Course Edureka's Advanced Java Course is designed for students and professionals who want to be a Java Developer. This is a 42 hour course which will cover both core and advanced Java concepts like Database connectivity, Threads, Exception Handling, Collections, JSP, Servlets, XMLHandling etc. We will also learn various Java frameworks like Hibernate and Spring. Course Objectives After the completion of the Advance Java Course at Edureka, you should be able to: Develop the code with various Java data types, conditions and loops. Implement arrays, functions and string handling techniques. Understand object oriented programming through Java using Classes, Objects and various Java concepts like Abstract, Final etc. Implement multi-threading and exception handling. Use parse XML files using DOM and SAX in Java. Write a code in JDBC to communicate with Database. Develop web applications and JSP pages. Interact with the database using hibernate framework. Write code with spring framework components like Dependency Injection and Auto Wiring. Implement SOA using web services. Who should go for this course? This course is designed for professionals aspiring to become Java Developers. Programmers, Web Developers, Web Designers, Programming Hobbyists, Database Administrators, Youngsters who want to kick start their career are the key beneficiaries of this course. Pre-requisites Attendees should have prior programming experience and be familiar with basic concepts such as variables/scopes, flow-control, and functions. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial. Project Work Towards the end of the Course, you will be working on a live project. The project is from Banking domain, dealing with web services. Topics - Introduction to Web Services, WSDL files, WSDL and UDDI, SOAP, RESTfulWeb Service, JAX-WS Implementation. Following modules need to be developed for the project. Module 1 : This module accepts user id and password and authenticates the given credentials with the database using hibernate. Module 2 : By accepting the type of account (SB / Current A/c) and user's details, account will be created. Module 3 : Perform the debit and credit transactions. Module 4 : Accept credit card information with the desired details and authorize the credit card amount using web services. Module 5 : Display transactions of the account based on given date range (From a specific date to a specific date). Why learn Java/J2EE & SOA? Java is a general-purpose, class-based, object-oriented computer programming language that was designed by James Gosling at Sun Microsystems in 1995. Key Highlights of Java: Platform Independent: This allows programmers to develop applications that can run on any operating system. Usability of Java: Java is most widely used programming language. It is present everywhere. It really doesn't matter which domain you are working in, you will surely come across Java sooner or later! Open Source: The good news is that Java is available for free! All the development tools and the environment (JRE & JDK) that is used to develop Java applications are absolutely free of cost. Android: Irrespective of the fact that you are tech savvy or not, most of us are badly bitten by the Android bug! Android is in great demand today and fortunately you need Java for Android development. Hence, the importance of Java has increased even more. Hadoop: Hadoop is one of the most trending framework for processing Big Data. It has been designed and developed in Java. In spite of having a tough competition on the server side from Microsoft and other companies, Java is doing extremely well on mobile platforms, thanks to Android! It has also been the primary language for Hadoop Developers. Course Features Online Classes: 42 Hrs There will be 14 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 45 Hrs Each class will be followed by practical assignments which can be completed before the next class. We will help you setup the IDE for java development. Our 24x7 expert support team will be available to help through email, phone or Live Support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you be expected to develop a Java application. You will get practical exposure about developing application in Java using Spring and Hibernate frameworks. You will understand how to use Hibernate as Java database persistence mechanism tool. You will also understand how the Java Project environment is setup and how the Test environment is setup. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project involving development of a scalable Java Application. Edureka certifies you as an Advanced Java Developer based on the project review by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in Java Application development. [-]

Informatica PowerCenter 9.x Certification Training

Edureka
Online Full time Part time 21 days Open Enrollment India India Online + 1 more

Edureka's Informatica PowerCenter 9.X Developer & Admin Course, will introduce the participants to work with the PowerCenter. Developers can use Informatica to create, execute, as well as administer, monitor and schedule ETL processes and understand how these are used in data mining operations. [+]

About The Course Edureka's Informatica PowerCenter 9.X Developer & Admin Course, will introduce the participants to work with the PowerCenter. Developers can use Informatica to create, execute, as well as administer, monitor and schedule ETL processes and understand how these are used in data mining operations. The course will also cover Installation & Configuration of Informatica PowerCenter 9.X and basic Administration Activities. Participants will also get to implement one project towards the end of the course. Course Objectives After the completion of the Informatica course at Edureka, you will be able to : Understand and identify different Informatica Products Describe Informatica PowerCenter architecture & its different components Use PowerCenter 9.x components to build Mappings, Tasks, Workflows Describe the basic and advanced features functionalities of PowerCenter 9.X transformations Understand Workflow Task and job handling Describe Mapping Parameter and Variables Perform debugging, troubleshooting, error handling and recovery Learn to calculate cache requirement and implement session cache Execute performance tuning and Optimization Recognize and explain the functionalities of the Repository Manager tool. Identify how to handle services in the Administration Console Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation Gain insight on ETL best practices using Informatica Who should go for this course? The following professionals can go for this course : Software Developers Analytics Professionals BI/ETL/DW Professionals Mainframe developers and Architects Individual Contributors in the field of Enterprise Business Intelligence Pre-requisites The pre-requisites for this course include knowledge of SQL and basic Unix. Project Work Towards the end of the Course, you will be working on a live project to perform data analytics. Project #1 : Creation of Sales Data Warehouse Industry : Retail Data : NorthWind/AdventureWorks dataset. Problem Statement : Creation of ETL jobs to build Sales Data Mart using Informatica. Project #2 : Transaction Analysis for Retail Industry : Retail Data : Sales data from Real time retail project. ( Data will be masked) Problem Statement : Analyzing Retail Transaction Information using Informatica. Why learn Informatica? Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform inter operates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size. Course Features Online Classes: 42 Hrs There will be 12 instructor-led interactive online classes during the course. Each class will be of approximately 3.5 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 25 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to visualize and analyze data. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as a Certified Informatica Expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in Informatica. [-]

AngularJS 2 Certification Training

Edureka
Online Part time 4 weeks Open Enrollment India India Online

The Angular2 training course is designed to provide knowledge and skills to become a successful Client-Side Application Developer. It starts with the fundamental concepts of Client-side MVC Design Patterns, DOM and Virtual DOM manipulation, Services, Dependency Injection (DI) and the moves towards advance concepts like [+]

Online Courses in Computer Science in India. About the Course The Angular2 training course is designed to provide knowledge and skills to become a successful Client-Side Application Developer. It starts with the fundamental concepts of Client-side MVC Design Patterns, DOM and Virtual DOM manipulation, Services, Dependency Injection (DI) and the moves towards advance concepts like DOM Event handling, client-side Routing, XHR communication, Testing, MEAN stack development, Multi-Device implementation, etc. Course Objectives After the completion of Edureka's AngularJS 2 course, you will be able to: Understand Client Side MVC, SPA, and Typescript Explore Angular2 with features such as Components, Services, DI Learn present day DOM manipulation (Directives and Pipes), DOM Events, Promises, Observables, among others Learn XHR communication, and REST API communication Explore Internationalization/Localization, and External libraries like JQuery, Bootstrap, Material incorporation Explore Upgrading from 1.X AngularJS Application, and Multi-Device/Cross-Platform application Learn and Apply various application design development and testing practices and techniques Learn how and where to use specific features and different ways of developing them as per use cases, etc. Eg: XHR and HTTP requests for server communication Learn and Understand how to use Node.JS, MongoDB (MEAN Stack) to create simple functioning RESTful APIs yourself Work on a real-life Poject which involves implementing an Electronic Voting System to learn Create-Read-Update-Delete concepts and derive business insights A working code base implemented for a real life project using MEAN stack to learn integration of different frontend requirements into a single project - Contact List Management Who should go for this Course? This Edureka course is designed for professionals who want to learn modern client-side design and development techniques and wish to apply it on large web applications such as Cloud ERP, CRM, among others. This course is ideal for: Junior and Senior Frontend/Web/Javascript Developers MEAN Stack Developers AngularJS 1.X Developers upgrading to newer Angular version Technical Leads and Architects Quality and Testing Professionals Graduates aiming to build a career in Web or Frontend Development What are the pre-requisites for this Course? The pre-requisites for this course include basic knowledge of Javascript, Typescript and HTML/CSS. Project Work Towards the end of the Course, you will be working on a live project where you will be using Angular2 with Typescript, to create a simple SPA based CRUD application using all the concepts taught in the sessions. We will look at some use cases with some small projects or assignments, while learning Angular2 during the session: Project #1 : DOM, Virtual DOM, and Data and List Management Problem Statement : Managing views, data, and lists in DOM has a lot of DOM overheads and server communication is neglected. Client side code is the most abused, and untested making it difficult to maintain. Project #2 : Simple Dynamic Views, and Routing Management Problem Statement : Server communication for routing from page to page makes cloud/web slower. Project #3 : Server Communication and CRUD (Electronic Voting System) Problem Statement : Server communication and page refresh for data is accompanied with a lot of repetitive files loading and is slower Project #4 : Integrating different Front-end technologies (Contact List Management sample code) Problem Statement : Integration of different technologies and requirements for a complex project can be challenging Why learn AngularJS 2? Angular2 training equips you with skills on ‘in demand’ client-side web technologies and helps you grab the top paying job titles and packages with AngularJS v2, MEAN Stack skills, Client-side SPA, Typescript, and REST Communication. By the end of the course, you will be able to learn how modern day Javascript using Angular2 and Typescript can be used to develop highly scalable, fast, and testable web client-side code. You will also have a good insight of entire application development. With Cloud first and Cross-platform development modes stepping up in enterprises the demand today and in the future is SPA, RESTful, and not to forget easily maintainable, modular code; irrespective of the server language. Course Features Online Classes: 24 Hrs There will be 8 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 20 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be designing an Electronic Voting System (EVS) and Contact List Management (CLM) where you will apply the various techniques and technologies learnt. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as an AngularJS expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in AngularJS. [-]

AWS Architect Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

AWS Certification Training from Edureka is designed to provide in depth knowledge about AWS architectural principles and it's services. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS infrastructure scalable, reliable, and highly available. [+]

About The Course AWS Certification Training from Edureka is designed to provide in depth knowledge about AWS architectural principles and it's services. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Certified Solutions Architect Exam. During this AWS Architect Online training, you'll learn: AWS Architecture and different models of Cloud Computing Compute Services: AWS EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk Storage Services : AWS EBS, AWS S3, AWS Glacier, AWS CloudFront, AWS Snowball, Storage Gateway Database Services: AWS RDS, AWS DynamoDB, ElastiCache, AWS RedShift Security and Identity Services: IAM, KMS Networking Services: Amazon VPC, Route 53, Direct Connect Management Tools: AWS CloudTrail, AWS CloudWatch, CloudFormation, OpsWorks, Trusty Advisor Application Services: SES, SNS, SQS Course Objectives On completion of the AWS Certification training learner will be able to: Design and deploy scalable, highly available, and fault tolerant systems on AWS Understand lift and shift of an existing on-premises application to AWS Ingress and egress of data to and from AWS Identify the appropriate AWS service based on data, compute, database, or security requirements Identify the appropriate use of AWS architectural best practices Estimate AWS costs and identifying cost control mechanisms Who should go for this course? This AWS training is designed for the IT professionals who want to pursue a career in Cloud Computing and become AWS certified solutions architect. The course is a best fit for: Professionals who want Project Experience in migrating and deploying AWS solutions Professionals with IT Infrastructure background Professionals with Virtualisation experience DevOps professionals Professionals with understanding of application, server, and network security and compliance AWS Solution Architects are among the highest paid IT professionals today with salaries ranging till $105K (source: indeed job portal), and the market demand is on the surge. You can check a blog related to AWS Certifications. Also, here is an interesting blog highlighting the high demand for Cloud and Distributed Computing Skills. Pre-requisites There are no specific prerequisites for participating in AWS training. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required. Course Features Online Classes: 30 Hrs There will be 30 hours of instructor led Interactive online classes during the course. Each class will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is for lifetime. Assignments: 30 Hrs At the end of each class, the instructor will depict a hands-on for the various AWS services covered in the class. Based on the practicals shown, each class will be followed by assignments which can be completed before the next class. Step-wise solution for the assignments will also be provided, which can be referred for practicing. Also, the knowledge of the free tier of AWS will be given by the instructor so that ample hands-on can be done on different services. Our 24x7 expert support team is available to help through email, phone or Live Support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will work on a project where you will be expected to implement various AWS services. You will be given problem statements based on which you need to come up with the solutions on the Cloud. You are expected to complete your project logically and successfully. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka provides you a skill certificate in AWS Architect Certification Training based on the project reviewed by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in AWS Architect Certification Training. [-]

Apache Kafka Certification Training

Edureka
Online Part time 3 weeks Open Enrollment India India Online

Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. [+]

Online Courses in Computer Science in India. About The Course Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. The course also covers installation & configuration of Kafka and other components like Hadoop, Spark, Storm, Maven etc. Course Objectives After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to: Understand Kafka and its components Set up an end to end Kafka cluster along with Hadoop and Yarn cluster Integrating Kafka with real time streaming systems like Spark & Storm Describe the basic and advanced features involved in designing and developing a high throughput messaging system Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter Understanding the insights of Kafka API Work on a real life Project, implementing Twitter streaming with Kafka, Hadoop & Storm Who should go for this course? This course is designed for professionals who want to learn Kafka techniques and wish to apply it on Big Data. It is highly recommended for: Developers who want to gain acceleration in their careers as a "Kafka Big Data Developer" Testing professionals who are currently involved in Queuing and Messaging systems Big Data Architects who like to include Kafka in their ecosystem Project Managers involved in projects of messaging systems What are the Pre-requisites for this Course? Knowledge of core java concepts is the pre-requisite for this course. We provide a complimentary course i.e. "Java Essentials for Apache Kafka" to all the participants who enroll for the Real-Time Analytics with Apache Kafka training. Which Case-Studies will be a part of the Course? Towards the end of the course, you will be working on a live project where you will be using Kafka messaging system to perform analysis on Twitter Streaming along with Hadoop, Spark & Storm. Why learn Real-Time Analytics with Apache Kafka ? Kafka provides high throughput and scalable messaging systems. Developed on Linkedin, it can be used effectively in place of traditional messaging system like JMS, Apache MQ etc. Because Kafka can be integrated into systems like Spark, Storm, Hadoop etc, it is a highly recommended messaging system for solving big data problems involved in messaging system. Features of Kafka Cluster like scalability, Fault tolerance, High throughput, Durability etc. makes it a leader in today's market in messaging systems. Due to extensive use of Kafka in market today, there is a steep increase in job opportunities. Course Features Online Classes: 15 Hrs There will be 5 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Lab Hours: 25 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes and projects documents are available in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as an Apache Kafka expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in Apache Kafka. [-]

Data Science Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. [+]

About The Course This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. Course Objectives After the completion of the Data Science course, you should be able to: Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyse data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts SAS/SPSS Professionals looking to gain understanding in Big Data Analytics Business Analysts who want to understand Machine Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics 'R' professionals who want to captivate and analyze Big Data Hadoop Professionals who want to learn R and ML techniques Analysts wanting to understand Data Science methodologies Pre-requisites There is no specific pre-requisite for the course however exposure to core Java and mathematical aptitude will be beneficial. Edureka will provide you complementary self paced courses covering essentials of Hadoop, R and Mahout to brush up the fundamentals required for the course. Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. The following blogs will help you understand the significance of Data Science training: www.edureka.co/blog/advantages-of-data-science-training/ www.edureka.co/blog/enroll-for-a-data-science-course/ Which Case-Studies will be a part of the Course? Towards the end of the Course, you will be working on a live project. Here are the few Industry-wise case studies e.g. Finance, Retail, Media, Aviation, Sports etc. which you can take up as your project work: Project#1: Flight Delay Prediction Industry : Aviation Description : The goal of this project is to predict the Arrival Time of a flight given the parameters like:"UniqueCarrier", "DepDelay", "AirTime", "Distance", "ArrDelay", etc. Whether these attributes affect the arrival delay and if yes, to which extent? Construct a model and predict the arrival delay. Compute the (Source Airport - Destination Airport) mean scheduled time, actual and inflight time with the help of MapReduce in R and visualize the results using R. Project #2: Stock Market Prediction Industry : Finance Description : This problem is about making predictions on the stock market data.The dataset contains the daily quotes of the SP500 stock index from 1970-01-02 to 2009-09-15 (10,000+ daily sessions). For each day information is given on the Open, High, Low and Close prices, and also for the Volume and adjusted close price. Project #3: Twitter Analytics Industry : Social Media Description : This problem is about social media analytics. This can be defined as Measuring, Analyzing, and Interpreting interactions and associations between people, topics and ideas. The dataset to be analyzed is captured by Live Twitter Streaming. This problem is mainly about how to use twitter analytics to find meaningful data by performing Sentiment analysis of the tweets obtained and visualizing the conclusions. Project #4: Recommendation System Industry : e-commerce Description : The problem of creating recommendations given a large data set from directly elicited ratings is a widely potential area which was lately boosted by players like Amazon, Netflix, Google to name a few. In this project, you are given a collection of real world data from the different users involving the products they like, rating assigned to the product, etc. and you have to create and come up with recommendations for the users. Project #5: NFL Data Analysis Industry : Sports Description : The dataset is a set of tweets by fans from a NFL game. This project is about analyzing the tweets posted by football fans all over the world on the NFL tournament semi-finals and find out insights like: top 10 most popular topics being discussed, most talked about team etc. Course Features Online Classes: 30 Hrs There will be 10 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 40 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help you to understand the concepts taught in Data Science better. Our 24x7 expert support team is available to help you through email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to visualize and analyze data. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Data Science course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Data Science. [-]

Splunk Developer & Admin Certification Training

Edureka
Online Part time 3 weeks Open Enrollment India India Online

The Splunk training course is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards. [+]

Online Courses in Computer Science in India. About the Course The Splunk training course is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards. Course Objectives After completion of the Splunk course at Edureka, you will be able to: Understand Splunk Admin/Developer concepts Apply various Splunk techniques to visualize data in different kinds of graphs and dashboards Implement Splunk in the organization to analyse and monitor systems Configure alerts and reports for monitoring purposes Troubleshoot different application issues using SPL (Search Processing Language) Who should go for this Course? This course is designed for IT professional who wishes to learn Splunk. It is ideal for: IT Operations, IT Monitoring, IT Support and Data Center teams Developers and Analysts who want to gain knowledge of Splunk development for creating apps and dashboards. What are the pre-requisites for this Course? As such, there are no pre-requisites for learning Splunk. However, it is highly recommended for professionals coming from IT Operations and analytics domain. Project Work As part of the course, you will get an opportunity to work on a live project where you can leverage Splunk concepts in real life. Project: Splunk Implementation Industry: Employee Details Management Data: Log Files Problem Statement: Setup and configure Splunk with the different log file inputs. Once the inputs are setup, Alerts, Reports and Dashboards should be created. Why Learn Splunk? Splunk is a leading analytics, monitoring and data visualization tool. This training certifies and helps you to grab top paying Splunk Admin/Developer jobs. This training also makes Splunk the ideal strategic platform for companies looking to solve data analytics issues of any size. You can easily implement Splunk in your organization upon completion of this course. Course Features Online Classes: 18 Hrs There will be 6 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 12 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to visualize and analyze data. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents will be available in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as a Certified Splunk Expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in Splunk. [-]

Big Data Hadoop Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer. [+]

Course Details Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert instructors will help you: Master the concepts of HDFS and MapReduce framework Understand Hadoop 2.x Architecture Setup Hadoop Cluster and write Complex MapReduce programs Learn data loading techniques using Sqoop and Flume Perform data analytics using Pig, Hive and YARN Implement HBase and MapReduce integration Implement Advanced Usage and Indexing Schedule jobs using Oozie Implement best practices for Hadoop development Work on a real life Project on Big Data Analytics Understand Spark and its Ecosystem Learn how to work in RDD in Spark Who should go for this Hadoop Course? Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain: Developers and Architects BI /ETL/DW professionals Senior IT Professionals Testing professionals Mainframe professionals Freshers Why learn Big Data and Hadoop? Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Mckinsey Report Avg salary of Big Data Hadoop Developers is $135k Indeed.com Salary Data What are the pre-requisites for the Hadoop Course? As such, there are no pre-requisites for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush-up Core-Java skills, Edureka offer you a complimentary self-paced course, i.e. "Java essentials for Hadoop" when you enroll in Big Data Hadoop Certification course. How will I do practicals in Online Training? For practicals, we will help you to setup Edureka's Virtual Machine in your System with local access. The detailed installation guide will be present in LMS for setting up the environment. In case, your system doesn't meet the pre-requisites e.g. 4GB RAM, you will be provided remote access to the Edureka cluster for doing practical. For any doubt, the 24*7 support team will promptly assist you. Edureka Virtual Machine can be installed on Mac or Windows machine and the VM access will continue even after the course is over, so that you can practice. Case-Studies Towards the end of the course, you will work on a live project where you will be using PIG, HIVE, HBase and MapReduce to perform Big Data analytics. Following are a few industry-specific Big Data case studies that are included in our Big Data and Hadoop Certification e.g. Finance, Retail, Media, Aviation etc. which you can consider foryour project work: Project #1: Analyze social bookmarking sites to find insights Industry: Social Media Data: It comprises of the information gathered from sites like reddit.com, stumbleupon.com which are bookmarking sites and allow you to bookmark, review, rate, search various links on any topic.reddit.com, stumbleupon.com, etc. A bookmarking site allows you to bookmark, review, rate, search various links on any topic. The data is in XML format and contains various links/posts URL, categories defining it and the ratings linked with it. Problem Statement: Analyze the data in the Hadoop ecosystem to: Fetch the data into a Hadoop Distributed File System and analyze it with the help of MapReduce, Pig and Hive to find the top rated links based on the user comments, likes etc. Using MapReduce, convert the semi-structured format (XML data) into a structured format and categorize the user rating as positive and negative for each of the thousand links. Push the output HDFS and then feed it into PIG, which splits the data into two parts: Category data and Ratings data. Write a fancy Hive Query to analyze the data further and push the output is into relational database (RDBMS) using Sqoop. Use a web server running on grails/java/ruby/python that renders the result in real time processing on a website. Project #2: Customer Complaints Analysis Industry: Retail Data: Publicly available dataset, containing a few lakh observations with attributes like; CustomerId, Payment Mode, Product Details, Complaint, Location, Status of the complaint, etc. Problem Statement: Analyze the data in the Hadoop ecosystem to: Get the number of complaints filed under each product Get the total number of complaints filed from a particular location Get the list of complaints grouped by location which has no timely response Project #3: Tourism Data Analysis Industry: Tourism Data: The dataset comprises attributes like: City pair (combination of from and to), adults traveling, seniors traveling, children traveling, air booking price, car booking price, etc. Problem Statement: Find the following insights from the data: Top 20 destinations people frequently travel to: Based on given data we can find the most popular destinations where people travel frequently, based on the specific initial number of trips booked for a particular destination Top 20 locations from where most of the trips start based on booked trip count Top 20 high air-revenue destinations, i.e the 20 cities that generate high airline revenues for travel, so that the discount offers can be given to attract more bookings for these destinations. Project #4: Airline Data Analysis Industry: Aviation Data: Publicly available dataset which contains the flight details of various airlines such as: Airport id, Name of the airport, Main city served by airport, Country or territory where airport is located, Code of Airport, Decimal degrees, Hours offset from UTC, Timezone, etc. Problem Statement: Analyze the airlines’ data to: Find list of airports operating in the country Find the list of airlines having zero stops List of airlines operating with code share Which country (or) territory has the highest number of airports Find the list of active airlines in the United States Project #5: Analyze Loan Dataset Industry: Banking and Finance Data: Publicly available dataset which contains complete details of all the loans issued, including the current loan status (Current, Late, Fully Paid, etc.) and latest payment information. Problem Statement: Find the number of cases per location and categorize the count with respect to reason for taking loan and display the average risk score. Project #6: Analyze Movie Ratings Industry: Media Data: Publicly available data from sites like rotten tomatoes, IMDB, etc. Problem Statement: Analyze the movie ratings by different users to: Get the user who has rated the most number of movies Get the user who has rated the least number of movies Get the count of total number of movies rated by user belonging to a specific occupation Get the number of underage users Project #7: Analyze YouTube data Industry: Social Media Data: It is about the YouTube videos and contains attributes such as: VideoID, Uploader, Age, Category, Length, views, ratings, comments, etc. Problem Statement: Identify the top 5 categories in which the most number of videos are uploaded, the top 10 rated videos, and the top 10 most viewed videos. Apart from these there are some twenty more use-cases to choose: Market data Analysis Twitter Data Analysis Where do our learners come from? Professionals from around the globe have benefited from Edureka's Big Data Hadoop Certification course. Some of the top places that our learners come from include San Francisco, Bay Area, New York, New Jersey, Houston, Seattle, Toronto, London, Berlin, UAE, Singapore, Australia, New Zealand, Bangalore, New Delhi, Mumbai, Pune, Kolkata, Hyderabad and Gurgaon among many. Edureka’s Big Data Hadoop online training is one of the most sought after in the industry and has helped thousands of Big Data professionals around the globe bag top jobs in the industry. This online training includes lifetime access, 24X7 support for your questions, class recordings and mobile access. Our Big Data Hadoop certification also include an overview of Apache Spark for distributed data processing. Course Features Online Classes: 30 Hrs There will be 30hrs of Online Live Instructor-led Classes. Depending on the batch you select, it can be: 10 live classes of 3 hrs each over Weekend or, 15 live classes of 2 hrs each on Weekdays. Assignments: 40 Hrs There are hands-on exercises associated with every module in the course. We anticipate that you will spend minimum 40 hours working on assignments to ensure better assimilation of concepts. Edureka will provide the required setup for doing practicals. Project: 20 Hrs At the end, you'll work on a Real-life Project on any of the selected use cases, involving Big Data Analytics using MapReduce, Pig, Hive, Flume and Sqoop Lifetime Access You get lifetime access to the Learning Management System (LMS). You will be able to access class recordings on LMS and lifetime feature shall also benefit you to get the future upgraded versions without paying any extra fee. 24 x 7 Support We have round the clock support available to help you with any technical queries. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. Please be assured! Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Big Data and Hadoop course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Big Data and Hadoop. [-]

Hadoop Administration Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

Hadoop Administration training course from edureka provides participants expertise in all the steps necessary to operate and maintain a Hadoop cluster, i.e. From Planning, Installation and Configuration through load balancing, Security and Tuning, edureka’s training course will provide hands-on preparation for the real-world challenges faced by Hadoop administrators. [+]

Online Courses in Computer Science in India. About The Course Hadoop Administration training course from edureka provides participants expertise in all the steps necessary to operate and maintain a Hadoop cluster, i.e. From Planning, Installation and Configuration through load balancing, Security and Tuning, edureka’s training course will provide hands-on preparation for the real-world challenges faced by Hadoop administrators. The course curriculum follows Apache Hadoop distribution. Course Objectives During the Hadoop Administration Online training, you'll master: Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role Plan and Deploy a Hadoop Cluster Load Data and Run Applications Configuration and Performance Tuning How to Manage, Maintain, Monitor and Troubleshoot a Hadoop Cluster Cluster Security, Backup and Recovery Insights on Hadoop 2.0, Name Node High Availability, HDFS Federation, YARN, MapReduce v2 Oozie, Hcatalog/Hive, and HBase Administration and Hands-On Project Who should go for this course? The Hadoop Administration course is best suited to professionals with IT Admin experience such as: Linux / Unix Administrator Database Administrator Windows Administrator Infrastructure Administrator System Administrator What are the pre-requisites for this Course? This course requires basic Linux knowledge and prior knowledge of Apache Hadoop is not required. edureka also offers a complementary course on "Linux Fundamentals" to all the Hadoop Administration course participants. How will I do practicals in Online Training? Practical Set Up: We will help you set up a virtual machine in your system. For VM installation, 8GB RAM is required. You can also create an account with AWS EC2 and use 'Free tier usage' eligible servers. This is the most preferred option currently as most of the deployments are happening over the cloud and edureka provides you a step-by-step procedure guide which is available on the LMS. Additionally, our 24*7 expert support team will be available to assist you around any queries. Why Learn Hadoop Administration? Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Mckinsey Report Average Hadoop Admin Salary is $123k Indeed.com Salary Data Which Case-Studies will be a part of the Course? Towards end of the Course, you will get an opportunity to work on a live project, that will use the different Hadoop ecosystem components to work together in a Hadoop implementation to solve big data problems. 1. Setup a minimum 2 Node Hadoop Cluster Node 1 - Namenode, JobTracker,datanode, tasktracker Node 2 – Secondary namenode, datanode, tasktracker 2. Create a simple text file and copy to HDFS Find out the location of the node to which it went. Find in which data node the output files are written. 3. Create a large text file and copy to HDFS with a block size of 256 MB. Keep all the other files in default block size and find how block size has an impact on the performance. 4. Set a spaceQuota of 200MB for projects and copy a file of 70MB with replication=2 Identify the reason the system is not letting you copy the file? How will you solve this problem without increasing the spaceQuota? 5. Configure Rack Awareness and copy the file to HDFS Find its rack distribution and identify the command used for it. Find out how to change the replication factor of the existing file. The final certification project is based on real world use cases as follows: Problem Statement 1: Setup a Hadoop cluster with a single node or a 2 node cluster with all daemons like namenode, datanode, jobtracker, tasktracker, a secondary namenode that must run in the cluster with block size = 128MB. Write a Namespace ID for the cluster and create a directory with name space quota as 10 and a space quota of 100MB in the directory. Use the distcp command to copy the data to the same cluster or a different cluster, and create the list of data nodes participating in the cluster. Problem statement 2: Save the namespace of the Namenode, without using the secondary namenode, and ensure that the edit file merge, without stopping the namenode daemon. Set include file, so that no other nodes can talk to the namenode. Set the cluster re-balancer threshold to 40%. Set the map and reduce slots to s4 and 2 respectively for each node. Course Features Online Classes: 24 Hrs There will be 24hrs of Online Live Instructor-led Classes. Depending on the batch you select, it can be: 8 live classes of 3 hrs each over Weekend or, 12 live classes of 2 hrs each on Weekdays. Assignments: 30 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project involving creation, set-up, troubleshooting, etc. of a multi node Apache Hadoop Cluster. Setup and configure using Pig and Hive, Ganglia configuration and troubleshooting the common Cluster Problems Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Hadoop Administration course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Hadoop Administration. [-]