CS-503 (A) RGPV B.Tech
Data Analytics (DA)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Nov 2023
Syllabus, notes and important questions for CS-503 (A)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Descriptive Statistics 5 topics
- Probability Distributions
- Inferential Statistics
- Inferential Statistics through hypothesis tests
- Regression \& ANOVA
- Regression ANOVA (Analysis of Variance)
Unit 2 Introduction to Big Data 14 topics
- 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
Unit 3 Processing Big Data 5 topics
- 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
Unit 4 Hadoop MapReduce 9 topics
- 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
Unit 5 Big Data Tools and Techniques 10 topics
- 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