Pandas provides tools for working with tabular data, i.e. data that is organized into tables that have rows and columns. Tabular data has a lot of the same functionality as SQL or Excel, but Pandas adds the power of Python.
This course will cover how to create Pandas DataFrames, calculate aggregates, and merge multiple tables.
- Introduction to Pandas.
- Aggregates in Pandas.
- Multiple Tables in Pandas.
What will you learn
After learning Pandas, you’ll be able to ingest, clean, and aggregate large quantities of data, and then use that data with other Python modules like Scipy (for statistical analysis) or Matplotlib (for visualization).