Before any business value can be extracted from data, some steps can never be skipped, such as cleaning, exploration and analysis of the data. Therefore, having the right tool available to get that job done is invaluable for any data scientist. Pandas is currently the most popular tool for this, as long as the data can be processed by a single machine.
Starting from the basics, you will get to know Series and Dataframes, the two elementary data structures in Pandas, and how to wrangle data by manipulating them. You will learn how to aggregate, merge, and join Dataframes, and how you can create plots to visualize and gain insights from the data.