Tools in Data Science
This course will teach students to use popular tools for sourcing data, transforming it, building and optimizing models, communicating these as visual stories, and deploying them in production.
by S Anand
Course ID: BSSE2002
Course Credits: 2
Course Type: Data Science
Recommended Pre-requisites: None
Recommended Co-requisites: BSCS2004 - Machine Learning Foundations
Course structure & Assessments
8 modules over 12 weeks of coursework, online assignments for each module, 1 remote online exam, 2 take home projects, 1 in-person end term exam. For details of standard course structure and assessments, visit Academics page.
| MODULE 1 | Discover the data |
| MODULE 2 | Get the data |
| MODULE 3 | Prepare the data |
| MODULE 4 | Model the data |
| MODULE 5 | Modern tools to simplify deep learning models |
| MODULE 6 | Design your output |
| MODULE 7 | Narrate a story |
| MODULE 8 | Deploy the results |
About the Instructors
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).