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CE-803 (B) · Data Analytics/Official Syllabus

Data Analytics (CE-803 (B)) - Official Syllabus

1
Unit 1

DESCRIPTIVE STATISTICS

  • Probability Distributions
  • Inferential Statistics
  • Inferential Statistics through hypothesis tests
  • Regression & ANOVA
  • Regression ANOVA(Analysis of Variance)
2
Unit 2

INTRODUCTION TO BIG DATA and BIG DATA TECHNOLOGIES

  • Big Data and its Importance
  • Four Ve28099s of Big Data
  • Drivers for Big Data
  • Introduction to Big Data Analytics, Big Data Analytics applications
  • Hadoope28099s Parallel World
  • Data discovery
  • Open source technology for Big Data Analytics
  • cloud and Big Data
  • Predictive Analytics
  • Mobile Business Intelligence and Big Data
  • Crowd Sourcing Analytics
  • Inter- and Trans-Firewall Analytics
  • Information Management
3
Unit 3

PROCESSING BIG DATA

  • Integrating disparate data stores
  • Mapping data to the programming framework
  • Connecting and extracting data from storage
  • Transforming data for processing
  • subdividing data in preparation for Hadoop Map Reduce
4
Unit 4

HADOOP MAPREDUCE

  • Employing Hadoop Map Reduce
  • Creating the components of Hadoop Map Reduce jobs
  • Distributing data processing across server farms
  • Executing Hadoop Map Reduce jobs
  • monitoring the progress of job flows
  • The Building Blocks of Hadoop Map Reduce
  • Distinguishing Hadoop daemons
  • Investigating the Hadoop Distributed File System
  • Selecting appropriate execution modes: local, pseudo-distributed, fully distributed
5
Unit 5

BIG DATA TOOLS AND TECHNIQUES

  • Installing and Running Pig
  • Comparison with Databases
  • Pig Latin
  • User- Define Functions
  • Data Processing Operators
  • Installing and Running Hive
  • Hive QL
  • Querying Data
  • User-Defined Functions
  • Oracle Big Data

Reference Books

  • The elements of statistical learning. Vol. 2. No. 1. New York: springer, 2009
  • Applied statistics and probability for engineers. John Wiley & Sons, 2010
  • NPTEL Video Course :Introduction to Data Analytics by Dr. Balaraman Ravindran and Dr. Nandan Sudarsanam IIT Madras
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