Topic 2 : Python for Data Science
(10 to 15 100% hands-on lectures. Total 15 to 20 taught hours)
- 100% in-class hands-on tutorials.
- 5 real life assignments.
- Lecture 1 Python Fundamentals Crash-Course (2 hours).
- Lecture 2 Python for Data Analysis NumPy (2 hours).
- Lecture 3 Pandas (2 hours).
- Lecture 4 Data Visualization with Matplotlib (2 hours).
- Lecture 5 Data Visualization with Seaborn (2 hours).
- Lecture 6 Pandas Built-in Data Visualization Functions (2 hrs).
- Lecture 7 Major Project 3 to 5 hours.