This repo will contain information or materials (mostly Python-related) for my course "Introduction to Data Science" that I am teaching as a part of WILP course structure at BITS Pilani, India. My lecture slides are also availabe in PDF. If you are referring any of the slides, please cite the course. Also, if you find any errors (serious or unserious), do please let me know so that I can correct or improve. Thank you.

The lecture PDFs are available under directory: Lecture_PDFs, where each PDF is named "CH_a_b.pdf" ('CH' denotes contact hour; each lecture is of 2 hr duration). The lab materials are structured lecture wise (L01, L02, ...). Under each directory (e.g. L01), there are files or programs stored for students' to play around. These programs are mostly during teaching and these are live demonstrations. You will see that many a times, these are not fully optimised.

I believe in "beautiful" coding and the programs within these directories may not satisfy myself. These will be cleaned or optimised over time. This is the first time, I am developing this lab structure for this course and it would take some iterations to converge to a satisfactory optimum. Till then, enjoy and do please let me know at my email.

For more information about me, visit my institutional webpage.

References to the materials used:

[1] Will be added

[2] Will be added