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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
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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 uses data-driven approaches to enhance products like Azure and Office 365. While data analytics focuses on analyzing existing data, data science combines analytics with machine learning and advanced algorithms. Differentiate between Data Analytics and Data Science and explain how both contribute to Microsoft’s technology-driven decision-making. (Reg.No: 24UCI0028 ,24UCI0032 ,24UCI0033 ,24UCI0034 ,24UCI0038 ,24UCI0039 )

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