UNIT I – Introduction to Data Analytics

Data Analytics – Data Analytics Different From Data Science – The Importance of Data Analytics in Today’s World – Brief History of Data Analytics – Key Concepts in Data Analytics – Data Collection and Management: Planning for Data Collection ᎓ Sources of Data ᎓ Types of Data ᎓ Data Preprocessing ᎓ Data Storage and Retrieval

UNIT II – Types of Data Analytics

Descriptive Analytics ᎓ Inferential Analytics ᎓ Predictive Analytics ᎓ Prescriptive Analytics – Techniques and Tools for Data Analytics: Data Analytics Techniques – Data Analytics Tools

UNIT III – Data Analytics Process

The Data Analytics Process – Defining the Questions – Collecting Data ᎓ Cleaning the Data ᎓ Analyzing the data ᎓ Visualizing and Sharing the Findings ᎓ Big Data Analytics: Challenges of Big Data Analytics ᎓ Technologies for Big Data Analytics

UNIT IV- Introduction to R

Features of R ᎓ How to Install R – How to Run R ᎓ Comments in R –  Reserved Words ᎓ Identifiers ᎓ Constants ᎓ Variables ᎓ Operators ᎓ Strings ᎓ Data Types & Operations: Basic Data Types ᎓ Vectors – Lists

UNIT V-  Charts and Graphs

Bar Charts ᎓ Histogram ᎓ Scatterplot ᎓ Connecting R to External Interfaces: CSV Files ᎓ XML Files ᎓ JSON Files ᎓ Binary Files

TEXT BOOKS

1. Bianca Szasz, ᎜Data Analytics Essentials᎝, Vibrant Publishers, First Edition, 2024, ISBN: 9781636511184
2. Jeeva Jose, ᎜Beginner᎙s Guide for Data Analysis Using R Programming᎝, Khanna Book Publishing Co. (P) Ltd, 2019, ISBN: 978-93-86173-45-4

REFERENCE MATERIALS

1. Hadley Wickham & Garrett Grolemund, ᎜R for Data Science᎝, O᎙reilly Publication, 2017, First Edition, ISBN: 978-1-491-91039-9
2. Robert J.Woz, ᎜Data Analytics for Beginners: A Beginner’s Guide to Learn and Master Data Analytics᎝, Kindle Edition,

 E-RESOURCES

1. https://www.youtube.com/watch?v=zwasdVPPFFw
2. https://www.youtube.com/watch?v=JL1-G2Pi6hQ
3. https://www.youtube.com/watch?v=lgCNTuLBMK4
4. https://www.youtube.com/watch?v=7cGwYMhPDUY
5. https://www.youtube.com/watch?v=yBvOS91jIXI