Diploma Level Course

Tools in Data Science

This practical course will teach students to use popular tools for sourcing data, transforming it, analyzing it, communicating these as visual stories, and deploying them in production. Pre-requisites: Python, HTML, JavaScript, Excel, data science basics

Taught by S Anand

Code BSSE2002

Credits 3 Credits

Type Data Science

Prerequisites None

Co-requisites

BSCS2008

12-Week Roadmap

Course Structure & Syllabus

View Course Videos

For details of standard term assessment timelines and exam structures, visit our Academics page.

MODULE 1

Development Tools and concepts to build models and apps.

MODULE 2

Deployment Tools and concepts to publish what you built.

MODULE 3

Large Language Models that make your work easier and your apps smarter.

MODULE 4

Data Sourcing to get data from the web, files, and databases.

Faculty & Experts

About the Instructors

S Anand

Faculty Webpage

Anand is a co-founder of Gramener, a data science company. He leads a team that tells visual stories from data. He is recognized as one of India’s top 10 scientists, and is a regular TEDx speaker.

Anand is a gold medallist from IIM Bangalore and an alumnus of IIT Madras, London Business School, IBM, Infosys Consulting, Lehman Brothers, and BCG.

More importantly, he has hand-transcribed every Calvin & Hobbes strip ever, is addicted to Minecraft (thanks to his daughter), and dreams of watching every film on the IMDb Top 250 (except The Shining).

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