Prior to Pandas, Python was majorly used for data munging and preparation. It had very little contribution to data analysis. Pandas solved this problem. Using Pandas, we can accomplish five typical steps in the processing and analysis of data, regardless of the origin of data — load, prepare, manipulate, model, and analyze.

We will go over methods to upload external data and go over Numpy and Pandas libraries. We will introduce EDA (exploratory data analysis) using Pandas' main methods to clean and get data ready for later work. We will be using the Titanic dataset, which contains the details of the passengers who traveled on the ship and evidenced the disaster.

Jupyter Cheat Sheet

Pandas library Cheat Sheet