What you'll learn

Best practices from pandas expert Ted Petrou author of Pandas Cookbook
An introduction to data analysis with Python using pandas
The DataFrame and Series and their components
Data Types
Selecting Subsets of Data
Filtering Data
Exercise Completion with a Jupyter Notebok

Requirements

Need to understand the basics of Python

Description

Master Data Analysis with Python - Intro to Pandas targets those who want to completely master doing data analysis with pandas. This course takes a deep dive into the two primary pandas objects, the DataFrame and Series, and how to select subsets of data from them.

This course is taught by expert instructor Ted Petrou, author of the highly-rated book Pandas Cookbook. Ted has taught over 1,000 hours of live data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library.

There are nearly 50 exercises available to help practice the material taught from the lectures. Detailed video and text solutions for each of the exercises are available so that you can see exactly how Ted thinks through the exercises to arrive at a solution.

All of the material and exercises are written in Jupyter Notebooks, which you will be able to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place. Additionally, the full contents of the course are available as a 120-page document giving you access to the material from anywhere.

If you are looking to use pandas in a professional environment and command data at will, you will need to become an expert at using it. Employers demand expertise and this course will begin your mastery of using pandas.

This course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.

Who this course is for:

A desire to completely master data analysis in Python using pandas
Desire a very deep introduction to pandas DataFrames and subset selection
Interested in pandas best practices for effectiveness and efficiency