Data Analysis Using Python - Main Session 3 - The Making of Pandas Dataframe

github repo: github.com/man...
This video is about exploratory data analysis in Python. It covers the following topics:
Introduction to the Python ecosystem: The video explains the concept of libraries in Python and how they can be used to perform various tasks.
Pandas library: The video introduces the Pandas library, which is used for data manipulation and analysis. It covers how to import data from various sources like Excel, CSV, SQL, and HTML.
Data exploration: The video demonstrates how to explore data using Pandas functions like `head()`, `tail()`, `shape()`, `info()`, and `describe()`.
Data cleaning: The video briefly touches on data cleaning techniques, such as handling missing values and outliers.
Exercises: The video provides exercises for viewers to practice data exploration and cleaning techniques.
Overall, the video provides a solid foundation for understanding data analysis in Python and using the Pandas library.