2024 Python Data Analysis & Visualization Masterclass
Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations
Created by Colt Steele | 20 hours on-demand video course
Welcome to (what I think is) the web’s best course on Pandas, Matplotlib, Seaborn, and more! This 2024 Python Data Analysis & Visualization Masterclass 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.
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
Recommended Course by Colt Steele
Mastering TypeScript – 2024 Edition
The Web Developer Bootcamp 2024 Best seller
The HTML & CSS Bootcamp 2024 Edition Best seller
JavaScript Pro: Mastering Advanced Concepts and Techniques
The Modern Javascript Bootcamp Course
Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4 Best seller
JavaScript Algorithms and Data Structures Masterclass
The Complete Guide to HTML
The Linux Command Line Bootcamp: Beginner To Power User Best seller
The Git & Github Bootcamp Best seller
The Complete Guide To Google Gemini (With Gemini Ultra!) Featured
Who this course is for:
- Beginner Python devs curious about data analysis, data visualization, or data science