Online Course in IT in India

See Online Courses in IT in India 2017

IT

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 IT in India

Read More

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 IT 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. [-]

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 IT 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. [-]

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. [+]

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. [-]

Tableau Training & Certification

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

edureka's online training on Tableau will cover various concepts of data visualization in depth, Tableau Dashboard including conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R and more. This Tableau training includes a hands-on project that will help you master your BI tools knowledge by working on Tableau Desktop and Tableau Public. [+]

Online Courses in IT in India. About Tableau Training edureka's online training on Tableau will cover various concepts of data visualization in depth, Tableau Dashboard including conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R and more. This Tableau training includes a hands-on project that will help you master your BI tools knowledge by working on Tableau Desktop and Tableau Public. You will be completely prepared to clear Tableau Certification post the completion of this Tableau training. Why Learn Tableau? After the successful completion of Data Visualization with Tableau Training by edureka, you will be able to: Understand the need for data visualization Make advance insightful visuals Perform scripting Create comprehensive tableau dashboards Connect with multiple sources Integrate Tableau with R Who should go for this training? The Tableau Training at edureka is for all professionals who are passionate about business intelligence, data visualization, and data analytics. But the following professionals typically go for this Tableau training: Data Scientists Business Analysts Statisticians and Analysts Project Managers What are the pre-requisites for this training? There are no prerequisites for edureka's Tableau training. However, knowledge of R language would be of an advantage. Projects Problem Statement To build a custom data visualization of your choice using dataset of your choice Tools used: Tableau Desktop 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 "Tableau 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 We have Weekend class: 10 sessions of 3 hours each and Weekday class: 15 sessions of 2 hours each. These are live Instructed-led online classes. Real-life Case Studies Towards the end of the training, you will be working on a project where you will implement the techniques learnt to visualize and analyze data. 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 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 Data Visualization Expert based on the project reviewed by our expert panel. Forum We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing. [-]

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. [-]

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. [+]

Online Courses in IT in India. 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. [-]

Microsoft BI Certification Training

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

Microsoft BI course is designed to provide insights on different tools in Microsoft Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). It also gives the practical knowledge on DW concepts and how these tools help in developing a robust end-to-end BI solution. [+]

About The Course Microsoft BI course is designed to provide insights on different tools in Microsoft Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). It also gives the practical knowledge on DW concepts and how these tools help in developing a robust end-to-end BI solution. Course Objectives After the completion of Microsoft BI course at Edureka, you will be able to: Understand DW concepts including ETL and Multidimensional modelling Install and configure end-end MSBI system Implement end-to-end ETL system using SQL Server Integration Services Gain insight on Multidimensional model and its importance Create Cubes and administer them in SSAS Create multiple types of reports and visualizations using SSRS/PowerView etc. Understand the concept and need for ad-hoc reports Apply Microsoft tools like Report Builder, Power View Give an end-to-end picture how Microsoft BI suites various tools work Integrate various BI tools to build a complete BI solution Who should go for this course? This course is designed for professionals aspiring to make a career in Business Intelligence. Software or Analytics professionals having background/experience of any RDBMS, ETL, OLAP or reporting tools are the key beneficiaries of this course. Pre-requisites The pre-requisite for this course is basic understanding of RDBMS. Why learn MSBI? As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses. Course Features Online Classes: 30 Hrs 10 live classes of 3 hrs each by Industry practitioners Assignments: 40 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project based on designing and developing an end-to-end BI solution using MSBI Suites (SSIS,SSAS,SSRS) 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 'MSBI Expert' based on your project performance, reviewed by our expert panel [-]

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 [+]

Online Courses in IT in India. 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 [-]

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. [-]

Course: Big Data Analytics - Data Executive

361 Degree Minds
Online Full time 40 hours July 2017 India India Online

Big Data is about the tremendous amount of data being generated in this data-driven world. Whatever we do in this world leaves a digital trace. Big Data has become a very vital element for business growth and innovation that relies on technologies such as Internet of Things and Data Analytics. [+]

Online Courses in IT in India. Course: Big Data Analytics - Data Executive Big Data is about the tremendous amount of data being generated in this data-driven world. Whatever we do in this world leaves a digital trace. Big Data has become a very vital element for business growth and innovation that relies on technologies such as Internet of Things and Data Analytics. Big Data will revolutionize the operations of any organizations, just like how the internet did. Do you want to be part of the revolution? Are you cut out for Big Data? Big Data is the IT mega trend that will define this decade…Why? Data is only as useful as the individual interpreting it, who can translate the findings from data into actionable insights. People with Big Data Analytics skills are in demand. Many companies do not have employees who can interpret data - find the trends, patterns and stories. These insights drive the decision making in every company. Join the Data Executive course of 361DM to know how Big Data Analytics can be a world of opportunities. Are you ready for the Big Data Era? Wondering if Big Data Analytics is the right career for you? Are you confused if Big Data Analytics is the right choice? Take up the Data Executive, an entry level program to create a basic awareness on the concept of Big Data and Analytics. This will help you make self assessment and know if Big Data Analytics can complement your existing skill set. How Will Big Data Analytics shape up the future of the business world? Buying and selling data will become the new business for every organization. They will monetize the data by selling them either as unstructured data or value added data. IoT – Internet of things, an extension of Big Data Anlytics will be the next critical focus in coming years.The Internet of Things (IoT) is a network of physical objects that can be accessed via the Internet. The IoT focuses on the data generation and production. Machine learning will become the top strategic trend in the years to come. Machine learning will be a necessary aspect for data preparation and predictive analysis in businesses in the future. Big Data industry will face huge shortage of experts like data analysts, data engineers and experts in Data Management according to IDC. Why 361DM is the best choice for your learning on Big Data Analytics? 361DM has been in the field of Leadership & Organizational Development for 17 years offering programs on Big Data Analytics, designed by industry veterans. The Data Executive program is industry relevant and crafted by Big Data Analytics Industry veteran, Mr. Suresh Krishnaswamy who has developed similar programmes for IIT and Great Lakes. He has worked with companies Like IBM, EDS & Cognizant. The clients include Cognizant, Nokia Siemens, Sandisk, Manhattan Associates, etc. 361DM experts focus on upskilling thereby providing one-on-one assistance to help you identify your target jobs, spruce up your resume and prep for the analytics interview. Program Suggestion Program Name: Data Executive Program designed for: For beginners to Create Awareness on Big Data Eligibility: Any UG/ PG Graduates Eligibility Process: NA Duration: 40 Hours Fees: 110 USD Installment pattern available (Y/N): No Program Outcome: This is an entry level program designed for beginners to create awareness about Big Data. It introduces learners to concepts like Big Data 1O1, Mathematics Modeling, Coding in DB Environment and Coding in DB Environment. [-]

Course: Big Data Analytics - Business Analyst

361 Degree Minds
Online Full time 232 hours July 2017 India India Online

Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. [+]

Course: Big Data Analytics - Business Analyst Career transition to Big Data Analytics: Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. This industry requires some basic qualities like a strong grounding in mathematics, familiarity with programming languages, understanding the logic of analytical modelling, content knowledge and above all an inherent sense of curiosity. 361DM career transition programs are designed to identify the skills you need to transition to an analytics career. Get trained by industry thought leaders in Big Data Analytics with focus on solving real corporate problems. Interested in Transformation to Big Data Analytics Career Path? Do you want a role which requires you to derive insights from data? Do you like to find a story in data? 361DM Big Data Analytics course are crafted to identify the skills in you to transform you into Big Data Analytics professional. According to Forbes, Big Data is becoming a movement. Every enterprise is going to take the advantage of Big Data Analytics. According to IDC, the Big Data market is predicted to be worth $46.34 billion by 2018. The global Hadoop market is forecast to grow at a CAGR of 59.37% during the period 2016-2020, according to Business Wire. Hadoop, a cost effective technology is faster than the conventional data analysis tools such as Relational Database Management Systems (RDBMS). R, the open source statistical software is used to tackle problems in data analysis. The data analysis is done using statistical concepts and mathematical modelling. With 361DM learn to implement Big Data Analytics to products, operations, marketing and consumer experience problems in industries like in retail, automobile, banking & financial services and healthcare. The path to Big Data Analytics......What it takes to be ‘The’ professional? Now, you know why Big Data Analytics is a good career transition. But before you go too far, make sure you have the required skills in you. Are you analytical in nature? Are you a problem solver? Make sure you have the basic quality of thinking analytically. 361DM offers Data Executive course to give you an idea of the skills required for Big Data Analytics. Some professionals try to enter into a new industry when they make the transition into the analytics. This move will reduce the chances of you finding a job. Look for an analyst job in the industry you have experience in. Once you are placed in an analytics role successfully and after gaining experience, you can think of moving to the industry you want to be in. Leaving your current job to make the career transition is not the right option, as finding a new job can take time and adding pressure on you unnecessarily. 361DM training programs offers the convenience of ‘Anytime Anywhere’ & disruptive value proposition to the corporate workforce. Do you want a career transition for an attractive paycheck? Big Data Analytics is the answer. In this information age, the technology to store data is increasing exponentially. Every company needs to make decisions from data. These decisions determine a company’s existence. Those who can control access to data, understand data and interpret data will have an edge in the near future, thereby leading to better paychecks. The demand for Big Data Analytics professional is high at the moment. The difficulty in finding the data scientist is growing up from 79% to 83% according to CrowdFlower survey. Companies are willing to shell out big bucks to find a person with adequate knowledge in Big Data skills. Thanks to the shortage of Big Data professionals. With the right mix of technical skills and personal skills, you will be the sought after Big Data professional. 361DM has cutting edge courses created by industry thought leaders to get you your dream job. Why 361 Degree Minds? 361 Degree Minds, a premier career building institute led by team of BITS Alumni with in-depth domain knowledge. Our courses are industry relevant and crafted by Big Data Analytics Industry veteran, Mr. Suresh Krishnaswamy who has developed similar programmes for IIT and Great Lakes. He has worked with companies Like IBM, EDS & Cognizant. 361DM makes you industry ready as the courses focus on three industry relevant aspects – 1) Technical skills like Hadoop and R 2) Better understanding of the business requirements 3) Knowledge of Data Science – statistical inference, mathematical modelling and data visualisation. 361DM experts focus on upskilling thereby providing one-on-one assistance to help you identify your target jobs, spruce up your resume and prep for the analytics interview. 361DM offers program variant giving Placement Assurance for select students. Receive constant guidance from our experienced faculty on job applications. For assistance, check your eligibility with career consultant. Program Suggestion Program Name: Business Analyst Program designed for: Freshers /Experienced Eligibility: Mcom, Msc- Stats, Maths /MBA Eligibility Process: NA Duration: 212 Hours Fees: 825 USD Installment pattern available (Y/N): Yes Program Outcome: To provide complete knowledge about Big Data by covering advanced concepts like R , GGPLOT, Line, Bar and Scatter with GGPLOT2 and Text mining. [-]

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. [+]

Online Courses in IT in India. 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. [-]

Course: Big Data Analytics - Data Engineer

361 Degree Minds
Online Full time 232 hours July 2017 India India Online

You would have probably heard that Big Data and Analytics is one area of technology consisting of skills gaps. What corporate really mean by “skill gap” is that there aren’t enough engineers with the right mix of technical ability, skill of understanding business requirement and knowledge of data science, the three main ingredients of Big Data Analytics. [+]

Course: Big Data Analytics - Data Engineer Do you want to be the one of the best sought after engineer in the BIG Data Analytics Industry? You would have probably heard that Big Data and Analytics is one area of technology consisting of skills gaps. What corporate really mean by “skill gap” is that there aren’t enough engineers with the right mix of technical ability, skill of understanding business requirement and knowledge of data science, the three main ingredients of Big Data Analytics. 361DM has the comprehensive solution for Engineers and make them data-savvy professionals. We train the students depending on the current skills required by the corporate world. Be a part of 361DM. Grab the opportunity and get the right platform to enter the Big Data Analytics Industry. Do you want to find "Big Picture" on Big Data? Big Data means Big Opportunities. Big Data analytics sector in India is expected to reach $16 billion industry by 2025. The opportunities for Engineering students in Big Data are vast. Big Data is growing at an unprecedented pace and is sure to offer the students plenty of opportunities to grow towards a secured future. Students who choose to study Big Data Analytics benefit by practicing and developing their critical thinking, management, and communication skills that will be vital to their success in corporate environment. Without the needed Big Data skills, plenty of jobs go unfilled. Getting certified in Big Data technology like Hadoop, programming with R and SQL, making data sets, etc. Will have a rewarding career and definitely assist the students in getting placed during on campus/ off campus recruitment. Some big companies hiring Big Data professionals in India are Accenture, American Express, Dell, Datamatics, eBay, Evalueserve, Genpact, HP, HSBC, IBM, Wipro, SBI, Infosys, IGate, etc. Why Big Data is relevant for Engineering students? Demand for Computer Systems Analysts with big data expertise increased 89.9% in 2015. The data science and big data discipline is strongly connected with and IT engineering , business and applied mathematics. Big Data Analytics is the fastest evolving concept in the IT world now. Students must gain knowledge on this fast-changing technological direction. With ever-increasing size of data sets, there is requirement for professionals to handle Big Data storage, processing, analysis, visualization, and application issues on both corporate workplaces and research environment. New tools and algorithms are being defined and implemented in the corporate world. Computer students can get familiarised with such tools, algorithms and platforms to use it on real time cases. Want to become a Big Data professional….. Do a self analysis to see if you have what it takes. Depending on your expertise, your contributions can have an impact at different points in the Big Data lifecycle of the company you get into. Creativity and problem solving - If you're equipped with a natural desire to know how things work , then you'll always have a job offer waiting somewhere Statistical and quantitative analysis - This skill is the engine for Big Data. If you have a strong mathematical, statistical and analytical skills as well as business strategy thinking, then you have a very bright chance to shine. General purpose programming languages - Engineers having experience in programming applications using general-purpose languages like Java, C etc could give you the edge over other candidates when making the Big Data transition. Story telling with data - Ability to create visualization that tells a story through the graphical depiction of statistical information will be a big plus to the data analytics process in organisations looking to make info more understandable to business executives. Why 361DM is the best in the industry to bring out the Big Data Analytics professional in you? The instructors of 361 Degree Minds are one of the leading industry experts in Big Data. Gain all the recognised qualification & certifications you need for a genuinely desirable Big Data Analytics career. 361DM provides a platform for learning evolving technologies that industry thought leaders consider being disruptive. Big Data Analytics course has been designed by Mr. Suresh Krishnaswamy, a veteran in the Analytics industry. 361DM has clients like Cognizant, Nokia Siemens, Sandisk, Manhattan Associates. 361 DM has 40,000 learners from 18 countries for various programs By learning Big Data with 361DM, sharpen your core skills in Big Data which are. You will get the opportunity to work with real-world data-sets and projects that prepare them to solve complex problems. 361DM offers program variant giving Placement Assurance for select students. For assistance, check your eligibility with career consultant. Program Suggestion Program Name: Data Engineer Program designed for: For Engineering Students - Fresher Eligibility:BE - CS , IT ,ECE / Btech -IT, MCA/M.Sc CS & BSc - CS Eligibility Process: NA Duration: 232 Hours Fees: 720 USD Installment pattern available (Y/N):Yes Program Outcome: This is a expert level program designed to familiarize the learners with concepts like Mathematics Modelling, Making Data Sets, Hadoop Fundamentals, Hadoop Administration, Hadoop Clusters, Programming with R and SQL. [-]