2025 Python Data Analysis & Visualization Masterclass
Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations
4.60 (3489 reviews)

26 795
students
20.5 hours
content
Jan 2025
last update
$119.99
regular price
What you will 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
Course Gallery




Charts
Students
Price
Rating & Reviews
Enrollment Distribution
Comidoc Review
Our Verdict
A highly comprehensive course in Python data analysis and visualization, offering an excellent coverage of tools and techniques. However, unevenly paced exercises and late introduction to plotting might present some challenges for beginners. Practice-oriented learners may particularly benefit from this Masterclass by incorporating their own projects and additional resources for a well-rounded experience.
What We Liked
- Thorough coverage of essential data analysis concepts with clear and digestible explanations.
- Practical examples throughout the course help reinforce learning.
- Wide range of topics including pandas, Matplotlib, Seaborn, and Jupyter Notebooks.
- Engaging instructor who breaks down complex topics effectively.
Potential Drawbacks
- Lack of exercises from section 16 onwards can make it harder to practice concepts.
- Topics and exercises related to plotting are introduced late in the course, which might be confusing for some learners.
- Beginners may struggle with the lack of fundamental concept reinforcement before diving deep into specific topics.
- The expansive nature of the course may cause overwhelming information accumulation.
Related Topics
4397644
udemy ID
15/11/2021
course created date
21/12/2021
course indexed date
Bot
course submited by