Online Course in Business Information Technology in Asia

Top Online Courses in Business Information Technology 2017 in Asia

Business Information Technology

Asia is the world's largest and most populous continent, located primarily in the eastern and northern hemispheres. It covers 8.7% of the Earth's total surface area and comprises 30% of its land area.

Course Online in Business Information Technology in Asia

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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. [+]

Top Online Courses in Business Information Technology in Asia. 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 [+]

Top Online Courses in Business Information Technology in Asia. 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. [-]

24 minute CIO

Potential E-Learning
Online Full time Open Enrollment United Arab Emirates Dubai

Given these changing dynamics, we have put together this practical and efficient program - 24 minute program, to provide you with a refresher or new insight on important areas that IT individuals need to master. The program will be continuously updated so stay engaged with us. [+]

Top Online Courses in Business Information Technology in Asia. Why did we develop the course? All organisations have been transformed by the technological developments that are taking place and IT managers are at the center of this transformation. The expectations from IT managers and CIOs is that they need to keep their organizations up to date with the latest development and provide innovative solutions that produce a competitive advantage. Given these changing dynamics, we have put together this practical and efficient program - 24 minute program, to provide you with a refresher or new insight on important areas that IT individuals need to master. The program will be continuously updated so stay engaged with us. Who is it for? Anyone that is new to the Information Technology and Communications (ICT) field or wants to refresh their overall IT skills including: Recent Graduates, IT Administrators, IT Managers or Chief Information Officers (CIOs) & other IT professionals To request more information, fill in the enquiry form on the right side of this page or visit the school's website here and use the unique code above to receive a discount on course fees! [-]