Pandas and NumPy Fundamentals

Learn how to analyze data using the pandas and NumPy libraries.

This course will teach you pandas and NumPy, the two most important Python data libraries, including vectorized operations, selecting data, data cleaning and performing analysis.

By the end of this course, you'll be able to:

  • Understand how vectorized operations make working with data faster.
  • Use pandas and NumPy methods to analyze data.
  • Select data by value using boolean indexing.

Course Info:

Pandas and NumPy Fundamentals


The average completion time for this course is 10-hours.

This course requires a basic subscription and includes five missions and one guided project.  It is the 3rd course in the Data Analyst in Python path and Data Scientist in Python path.


Learn to use the Pandas and NumPy Libraries for Data Analysis

Introduction to NumPy

Learn how to work with data using the NumPy library.

Boolean Indexing with NumPy

Learn how to select data based on their values.

Introduction to Pandas

Learn how to use the pandas library to work with data.

Exploring Data with Pandas

Learn more techniques for selecting and analyzing data in pandas.

Data Cleaning Basics

Learn how to clean messy data using Pandas.

Exploring Ebay Car Sales Data

Practice data cleaning and data exploration using Pandas.