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5th July 2017, 04:02 PM
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IIIT Bangalore Data Analytics
I am looking for curriculum of PG Diploma - Data Analytics offered by IIIT Bangalore. So tell me what should I do to get curriculum of PG Diploma - Data Analytics Program of IIIT Bangalore?
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#2
5th July 2017, 04:17 PM
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Re: IIIT Bangalore Data Analytics
As you want curriculum of PG Diploma - Data Analytics Program offering by IIIT Bangalore so here I am providing complete curriculum: IIIT Bangalore PG Diploma - Data Analytics Curriculum: INTRODUCTION TO DATA MANAGEMENT LANGUAGE OF DATA ANALYTICS Learn tools and languages used for data analysis - R, Excel, SQL, Python & Tableau. These modules are also part of the preparatory course INTRODUCTION TO DATA WAREHOUSING AND OLAP Equip yourself with the knowledge to extract and pre-process data before analysis DATA PREPERATION Learn how to prepare data before analysis CASE STUDY- INVESTMENTS Implement your learnings to find sectors in which dierent companies ought to invest STATISTICS AND EDA DATA VISUALIZATION Make your data alive with visuals using R and tools like Tableau DESCRIPTIVE STATISTICS Summarize and describe data sets using measures such as Central tendency and variability INFERENTIAL STATISTICS Learn probability, Central Limit Theorem and more to draw inferences EXPLORATORY DATA ANALYSIS Derive initial insights from the data using R and other visualization tools HYPOTHESIS TESTING Understand how to formulate & test hypotheses to solve various business problems CASE STUDY-UBER SUPPLY-DEMAND GAP Apply Statistics and understand how Uber solves its supply-demand gap INTRODUCTION TO PREDICTIVE ANALYSIS I LINEAR REGRESSION Learn to implement linear regression and predict continuous data values SUPERVISED CLASSIFICATION Understand and implement algorithms like K-NN*, Naive Bayes and Logistic Regression CLUSTERING Learn how to create segments based on similarities using K-Means and Hierarchical clustering CASE STUDY - TELECOM CHURN Learn how a telecom giant predicts its customer churn. Apply multiple algorithms simultaneously to see which one works the best INTRODUCTION TO PREDICTIVE ANALYSIS II TIME SERIES Learn how to make predictions using time dependent/variant data DECISION TREES Tree-based model that is simple and easy to use. Learn the fundamentals on how to implement them SUPPORT VECTOR MACHINES Learn to classify data points using support vectors NEURAL NETWORKS* Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI! ASSOCIATION RULE MINING* Ever wondered why beer is kept next to diaper in superstores? Find out in this module BIG DATA ANALYTICS INTRODUCTION TO BIG DATA AND HADOOP Understand the basic concepts of Big Data and Hadoop as processing platforms for Big Data MANAGING BIG DATA Learn and use Hadoop ecosystem tools like Sqoop & Hive for data ingestion, extraction and management. INTRODUCTION TO SPARK Understand and use Spark, a fast Big Data processing platform BIG DATA ANALYSIS Learn how to analyze Big Data using SparkR, SparkSQL DOMAIN ELECTIVES BFS Learn Customer analytics and Risk Analytics within BFS E-COMMERCE Learn customer marketing analytics and recommendation engines HEALTH CARE Understand use of analytics in Healthcare improvement and drug discovery Contacts IIIT-Bangalore 26/C, Electronics City, Hosur Road, Bangalore - 560100 Phone: +91 80 4140 7777/ 2852 7627 Fax: +91 80 4140 7704 |