Introduction to Data Science

At the end of the course students will be able to gain the knowledge of data science and can apply tools and algorithms that can be employed on big data for providing insights to the users for better decision making

CO1 Understand the basic concepts of Data Science. (Understand-L2) 

CO2 Apply the Machine Learning Activities on Data (Apply-L3) 

CO3 Choose the appropriate databases for handling big data. (Understand-L2) 

CO4 Enumerate the tools and applications on data science. (Understand-L2) 

CO5 Understand the Visualization and development tools for data (Understand-L2) 

TEXTBOOKS: 

T1 Davy Cielen, Arno D.B. Meysman, and Mohamed Ali, “Introducing to Data Science using Python tools”, Manning Publications Co, Dream tech press, 2016 

T2 Prateek Gupta, “Data Science with Jupyter” BPB publishers,2019 for basics 

REFERENCE BOOKS: 

R1 Joel Grus “Data Science From Scratch”, OReilly,2019 

R2 Doing Data Science: Straight Talk from the Frontline,1st Edition, Cathy O’ Neil and Rachel Schutt, O’Reilly, 2013 

To access prescribed text book Click Here