2025 Python Data Analysis & Visualization Masterclass

Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations
4.60 (3489 reviews)
Udemy
platform
English
language
Data Science
category
instructor
2025 Python Data Analysis & Visualization Masterclass
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

2025 Python Data Analysis & Visualization Masterclass – Screenshot 1
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2025 Python Data Analysis & Visualization Masterclass – Screenshot 2
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2025 Python Data Analysis & Visualization Masterclass – Screenshot 3
Screenshot 32025 Python Data Analysis & Visualization Masterclass
2025 Python Data Analysis & Visualization Masterclass – Screenshot 4
Screenshot 42025 Python Data Analysis & Visualization Masterclass

Charts

Students
12/2101/2203/2204/2206/2207/2208/2210/2211/2212/2202/2303/2305/2307/2308/2310/2312/2301/2403/2404/2406/2407/2409/2411/2401/2503/2505/2507 00014 00021 00028 000
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
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course submited by
2025 Python Data Analysis & Visualization Masterclass - Coupon | Comidoc