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SYLLABUS
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UNIT 1- Introduction to Data Analytics
UNIT 1.1-Data Analytics Different From Data Science
UNIT 1.2-The Importance of Data Analytics in Today’s World
UNIT-1.4-Brief History of Data Analytics
UNIT -1.5-Key concepts of DA
UNIT-1.6-Data Collection
UNIT-1.7-Source of Data
UNIT-1-8-Types of Data
UNIT-1-9-Data Processing
UNIT-1-10-Data Storage and Retrieval
UNIT 2 -UTypes of Data Analytic
UNIT-2.1.Types of Data Analytics
UNIT-2.2.Descriptive Analytics
UNIT-2.3.Inferential Analytics
UNIT-2.4.Predictive Analysis
UNIT-2.5.Prescriptive Analytics
UNIT-2.6.Techniques and Tools for Data Analytics
UNIT-3-Data Analytics Process
UNIT-3.1.Data Analytics Process
UNIT-3.2.Cleaning Data
UNIT-3.3.Big Data Analytics
UNIT-4-Introduction to R
UNIT-4.1.Introduction to R
unit-4.2.Identifiers , Constants , Variables , Operators , Strings
unit-4.3.Data Types & Operations Basic Data Types , Vectors , Lists
unit-5-Charts and Graphs
UNIT-5-CHARTS
PUZZLES
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UNIT 1:Introduction to Data Analytics
UNIT-2: Types of Data Analytics
UNIT-3 :Data Analytics Process
UNIT 4 -Introduction to R
UNIT 5 Charts and Graphs
Resource Links
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NPTEL Links
Tutorial Websites
Assignments
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Case Study : Group 1
Case Study : Group 2
Case Study : Group 3
Case Study : Group 4
Case Study : Group 5
Case Study: Group 6
Reference videos
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Reference videos
Tutorial Videos
Question Bank
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UNIT 1 Introduction to Data Analytics
UNIT 2 Types of Data Analytics
UNIT 3 Data Analytics Process
UNIT 4 Introduction to R
UNIT 5 Charts and Graphs
24UCI813 – Data Analytics

Microsoft :Real-time Industry Alignment: How does Microsoft use all four types of analytics (descriptive to prescriptive) in Power BI to empower business users in 2025 . (Reg.No: 24UCI0041, 24UCI0101 ,24UCI0105 24UCI0106 ,24UCI0107 24UCI0108 ,24UCI0111)

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