Skip to content
CampusPrep
CS-503 (A) · Data Analytics/Official Syllabus

Data Analytics (CS-503 (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 V's of Big Data
  • Drivers for Big Data
  • Introduction to Big Data Analytics
  • Big Data Analytics applications
  • Hadoop's 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

  • Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Business — Michael Minelli, Michehe Chambers, Ambiga Dhiraj — 1st Edition
  • Big Data Analytics: Disruptive Technologies for Changing the Game — Arvind Sathi — IBM Corporation — 1st Edition
  • Mining of Massive Datasets — Rajaraman, A., Ullman, J. D. — Cambridge University Press
  • Principles of Big Data: Preparing, Sharing and Analyzing Complex Information — Berman, J.J. — Morgan Kaufmann
  • Real-Time Big Data Analytics: Emerging Architecture — Barlow, M. — O Reilly
  • Big Data — Schonberger, V.M., Kenneth Cukier, K. — John Murray Publishers
  • Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics — Bill Franks — Wiley and SAS Business Series — 1st Edition
Go to where you left off?

Quick Add to Notes

Save questions, your own notes and screenshots into notes filed by unit. It takes a free account.

Create free account

Have an account? Log in