Pandas is a very popular Python software library for data analysis and data handling. So it stands to reason that this is the next mini-course you are going to learn. It starts with creating, reading, and writing data using Pandas and then moves on to indexing, selecting, combining, sorting, renaming, assigning, grouping, etc. These are all techniques that are fundamental in Data Science as they help in cleaning and preparing your datasets. This course also teaches you how to investigate data types within a DataFrame or Series and how to tackle missing values in data.
Aditya664/Kaggle_Pandas
Solve short hands-on challenges to perfect your data manipulation skills.
Jupyter Notebook