Udemy

2026 Python Data Analysis & Visualization Masterclass

Enroll Now
  • 28,761 Students
  • Updated 1/2026
4.5
(3,874 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
20 Hour(s) 30 Minute(s)
Language
English
Taught by
Colt Steele
Rating
4.5
(3,874 Ratings)

Course Overview

2026 Python Data Analysis & Visualization Masterclass

Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations

Welcome to (what I think is) the web's best course on Pandas, Matplotlib, Seaborn, and more! This course will level up your data skills to help you grow your career in Data Science, Machine Learning, Finance, Web Development, or any tech-adjacent field.

This is a tightly structured course that covers a ton, but it's all broken down into human-sized pieces rather than an overwhelming reference manual that throws everything at you at once. After each and every new topic, you'll have the chance to practice what you're learning and challenge yourself with exercises and projects. We work with dozens of fun and real-world datasets including Amazon bestsellers, Rivian stock prices, Presidential Tweets, Bitcoin historic data, and UFO sightings.

If you're still reading, let me tell you a little about the curriculum.. In the course, you'll learn how to:

  • Work with Jupyter Notebooks

  • Use Pandas to read and manipulate datasets

  • Work with DataFrames and Series objects

  • Organize, filter, clean, aggregate, and analyze DataFrames

  • Extract and manipulate date, time, and textual information from data

  • Master Hierarchical Indexing

  • Merge datasets together in Pandas

  • Create complex visualizations with Matplotlib

  • Use Seaborn to craft stunning and meaningful visualizations

  • Create line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plots!

What makes this course different from other courses on the same topics?  First and foremost, this course integrates visualizations as soon as possible rather than tacking it on at the end, as many other courses do.  You'll be creating your first plots within the first couple of sections!  Additionally, we start using real datasets from the get go, unlike most other courses which spend hours working with dull, fake data (colors, animals, etc) before you ever see your first real dataset.  With all of that said, I feel bad trash talking my competitors, as there are quite a few great courses on the platform :) 

I think that about wraps it up! The topics in this courses are extremely visual and immediate, which makes them a joy to teach (and hopefully for you to learn).   If you have even a passing interest in these topics, you'll likely enjoy the course and tear through it quickly.  This stuff might seem intimidating, but it's actually really approachable and fun! I'm not kidding when I say this is my favorite course I've ever made. I hope you enjoy it too.

Course Content

  • 10 section(s)
  • 204 lecture(s)
  • Section 1 Introduction
  • Section 2 Setup & Installation
  • Section 3 Working With Jupyter Notebook
  • Section 4 Dataframes & Datasets
  • Section 5 Basic DataFrame Methods & Computations
  • Section 6 Series & Columns
  • Section 7 Indexing & Sorting
  • Section 8 Filtering DataFrames
  • Section 9 Adding & Removing Columns
  • Section 10 Updating Values

What You’ll Learn

  • Master Pandas Dataframes and Series
  • Create beautiful visualizations with Seaborn
  • Analyze dozens of real-world datasets
  • Practice with tons of exercises and challenges
  • Learn the ins and outs of Matplotlib
  • Organize, filter, clean, aggregate, and analyze DataFrames
  • Master Hierarchical Indexing
  • Merge datasets together in Pandas
  • Create line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plots!
  • Work with Jupyter Notebooks


Reviews

  • J
    John Wydila
    4.0

    It was a good match for me. On the other hand, the later sections without the exercises were somewhat rushed. I would recommend exercises for the later sections.

  • M
    Mohan Kumar Reddy Mamidigumpula
    5.0

    It was very good and understandable even for very beginners.

  • P
    Puru Paushaj
    5.0

    Very informative and comprehensive course.

  • M
    McDonald Ibekwe
    3.5

    1. Why are there no interpretations of the stacked charts? 2. Why are there no quizz from section 16? Over, the instructor tried to give good explanations.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed