Programming in Python for Data Science
Course prerequisites: None
In this module, you will learn how to import different types of files, perform more advanced table manipulations (modifying and creating new columns) as well as method chaining conventions (style, including multi-line).
In this module, you will learn about basic Python data types and structures. You will explore what data types and structures are used to create a Pandas dataframe and how understanding column dtypes is important to data analysis.
In this module, you will expand your knowledge on the concept of functions that were introduced in Module 5. This module covers how to develop good habits when writing functions like including docstrings, defensive programming, test-driven development and how to compose useful functions.