Complete Course on Data Visualization, Matplotlib and Python

Master Matplotlib Anatomy and Learn Seaborn to Visualize Data with Custom, Beautiful Charts, Suitable for All Purposes

4.53 (6933 reviews)

Udemy

platform

English

language

Development Tools

What you will learn

Learn Matplotlib Anatomy

Customize charts of any complexity with ease

Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Donut and Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots, Scatter Plots, Heatmaps

Feel comfortable managing various Matplotlib Artists such as Legends, Annotations, Texts, Patches, Lines, Collections, Containers, Axis

Create statistical charts with Seaborn

Visualize data with Matplotlib in OOP

Dual Axis Charts

History

Students

Price

Rating & Reviews

Comidoc Review

Our Verdict

The Complete Course on Data Visualization, Matplotlib and Python lives up to its name by providing extensive coverage of essential charting techniques using both Matplotlib and Seaborn. However, given the fast-paced video delivery, incomplete explanations, outdated snippets, and frequent use of unclear 'easy' assertions, students should supplement their learning with alternative resources to ensure full comprehension.

What We Liked

Covers a lot of ground in data visualization, Matplotlib, and Seaborn, making it a comprehensive resource.
Many students found the course content interesting and advanced, with examples that are valuable for self-study.
The course effectively teaches how to create a variety of chart types, ranging from basic to complex, including dual axis charts.
Clear instruction on customizing charts using Matplotlib artists such as legends, annotations, texts, patches, lines, collections, containers, axes.
Effective use of Seaborn for statistical charts.

Potential Drawbacks

API and function arguments have changed since the course was created, causing some confusion when following along.
The instructor frequently speeds up the video, requiring students to pause in order to absorb the material.
Some students expressed disappointment with the lack of in-depth explanations or coverage of basic concepts.
Some code snippets provided by the instructor are outdated, leading to errors when implementing them.
Instances where the instructor claims something is 'easy', but fails to explain it, expecting students to infer from documentation.