Essential Guide to Python Pandas

1. Describe the Anatomy and main components of Pandas Data Structures. Understand Pandas Data Types and the correct use case for each type.
2. Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries etc
3. Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types
4. Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more
5. Merge & Join multiple datasets into Pandas DataFrames
6. Perform Data Summarization & Aggregation within any DataFrame
7. Create different types of Data Visualization
8. Apply all the Pandas knowledge you have learned in this course to a real-world Data Analysis Project to investigate COVID-19 infection, and the consequent lo