How can you apply functions to Pandas series and data frames? Moreover, when would you want to do so? In this class, we'll explore the map, apply, and applymap functions (among others), seeing how they work, and how to best use them with our data.

Performing complex queries in Pandas? Method chaining will likely make those queries easier to write *and* to read. In this course, we'll review the elements of method chaining, including the use of lambda, assign, and pipe. You'll come out of this course able to write more complex queries in a clear, maintainable way. Note: This course is included in my Python+Data membership.

Starting to analyze data? This bundle introduces you to Python's star packages, NumPy and Pandas, as well as the basics of SQL.

The world is a messy place, and a lot of the data we have to deal with is messy, too. That's why cleaning our data is so crucial; data scientists report they spend 80 percent (!) of their time on this task. In this webinar, we'll review techniques for cleaning your data, making it easier to query, manipulate, and work with. Note: This course is included in my Python+Data membership.

Grouping is an essential part of data analysis, and Pandas provides us with multiple ways to group our data. In this course, we'll dive into grouping, understanding how it works and how to use it. We'll also explore pivot tables, a form of 2D grouping. Note: This course is included in my Python+Data membership.

Sign up for this free course, and learn more about Reuven's most ambitious course — for teaching you Python and data analytics in 16 weeks.

Watch the recorded 4-hour class that I gave in October 2020 — and learn how to use SQL to organize your data!

AI is everywhere, and machine learning is the technology powering AI. In this course, I'll introduce you to some of the ideas behind AI, and how we can build (and test) simple models using Python and sklearn. You'll come out with a fuller understanding of what ML is, how it works, and where it doesn't. Note: This course is included in my Python+data membership.

Unlock the power of data science in Python 

Read, manipulate, analyze, and plot data with ease — all within Python! This course contains 12 hours of video lessons, covering all of the aspects of Pandas you need to get up and running. Numerous exercises help to reinforce the ideas with real-world data.

Polars is a new library with a Pandas-like API but much faster performance. How can we use it? And how does it compare with Pandas? In this course, I'll introduce you to Polars, using it to analyze a variety of types of data. You'll come out familiar with this library, and why you might (or might not) want to use it. Note: This is included in my Python+data membership.