ES 114 Probability, Statistics and Data Visualization

Summary

• Instructors:
  1. Nipun Batra nipun.batra@iitgn.ac.in
     • Office: AB13/401C
     • YouTube video showing the directions to my office
     • HomePage
  2. Manisha Padala manisha.padala@iitgn.ac.in
     • Office: AB13/405C
     • HomePage
• Teaching Assistants:
  • Ayush Shrivastava shrivastavaayush@iitgn.ac.in
  • Risabh Mondal rishabh.mondal@iitgn.ac.in
  • Abhyudaya Nair 24210005@iitgn.ac.in
  • Alay Patel alay.patel@iitgn.ac.in
  • Ashish Rawat ashish.rawat@iitgn.ac.in
  • Balkrishna Sehra 24210022@iitgn.ac.in
  • Charan Teja 24210056@iitgn.ac.in
  • Chetana Dubey 24250030@iitgn.ac.in
  • Dekka Muni Kumar 24210028@iitgn.ac.in
  • Dhruv Patel dhruv.patel@iitgn.ac.in
  • Diya 24210032@iitgn.ac.in
  • Drishti 24210033@iitgn.ac.in
  • Indrayudh Mandal 24210041@iitgn.ac.in
  • Jenil Patel 24210048@iitgn.ac.in
  • Kaloori Shiva Prasad 24250041@iitgn.ac.in
  • Manish Bairwa manish.bairwa@iitgn.ac.in
  • Mithlesh Singla 24210063@iitgn.ac.in
  • Palak Gupta 24250063@iitgn.ac.in
  • Sawan Verma sawan.verma@iitgn.ac.in
  • Shataxi Dubey shataxi.dubey@iitgn.ac.in
  • Shivansh Gupta 24250086@iitgn.ac.in
  • Suruchi Hardaha 24250097@iitgn.ac.in
  • Vinayak Rana 24210114@iitgn.ac.in
  • Aadya Arora aadya.arora@iitgn.ac.in
  • Abhishek Kushwaha abhishek.kushwaha@iitgn.ac.in
  • Aryan Sahu aryan.sahu@iitgn.ac.in
  • Bhavik Patel bhavik.patel@iitgn.ac.in
  • Bhoumik Patidar bhoumik.patidar@iitgn.ac.in
  • Dewansh Chandel dewanshsingh.chandel@iitgn.ac.in
  • Dewansh Kumar dewansh.kumar@iitgn.ac.in
  • Guntas Singh Saran guntassingh.saran@iitgn.ac.in
  • Shreyans Jain shreyans.jain@iitgn.ac.in
  • Vamsi Srivathsa vamsi.srivathsa@iitgn.ac.in
  • Viraj Vekaria viraj.vekaria@iitgn.ac.in
  • Yash Bachwana yash.bachwana@iitgn.ac.in
• Class Venue and Timings:
  • Lecture : Jasubhai Auditorium, Monday, 8:30 AM - 10:00 AM (A1 slot)
  • Labs : Jasubhai Auditorium, Computer Labs (A2, D1 slots) – more details soon
• Communications
  • All communications will be handled via slack. Join using the link here

Pre-requisites:

• None, First Year Undergrad Course

Reference textbooks:

1. Chan, Stanley. “Introduction to Probability for Data Science.” The University of Michigan Library, Michigan Publishing (2021). Free Digital Copy
2. Adhikari, Ani, John DeNero, and D. Wagner. “Computational and Inferential Thinking: The Foundations of Data Science.” Second Edition. The University of California, Berkeley (2019). Free Digital Copy
3. Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Cambridge University Press, 2020. Free Digital Copy
4. Spiegelhalter, David. The Art of Statistics: Learning from Data. Penguin UK, 2019.
5. Rougier, Nicolas. Scientific Visualization: Python+ Matplotlib. 2021. Free Digital Copy