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ME-803 (A) · Data Analytics/Official Syllabus

Data Analytics (ME-803 (A)) - 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, 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
  • Applied statistics and probability for engineers
  • NPTEL Video Course :Introduction to Data Analytics
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