This course is all about Python for Data Science. This will include the basics of Python, Object-Oriented Concepts, Data manipulation using Numpys and Pandas, Data Visualization using matplotlib, and seaborn.

All the concepts will be discussed in great detail along with assignments for each of the covered topics. Doubts will be clarified in the live session itself and assignments will be discussed in the separate sessions. The final project will be shared post the session completion and will be discussed in a live session.

The topics covered will be as below.
1. Basics of python.
2. Data Structures in Python.
3. Control structures.
4. Functions and File handlings.
5. Modules and Exception Handlings.
6. Object-Oriented Programming.
7. Numerical Analysis using Numpy.
8. Data Manipulation using Pandas.
9. Data visualization using matplotlib and seaborn.
10. Data Analysis using Excel.

The details of each topic are shared in the syllabus attached for the sessions. The class will be live, interactive, and recorded. The first two classes will be the demo class.