Data Visualization Fundamentals Course
This course introduces foundational data visualization techniques, focusing on data preparation, chart selection, and effective communication of insights using Python and open-source tools.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Data Visualization Basics Course shows you how to clean and check CSV data, manage dates, and create solid metrics for actual product use. You'll learn to select proper charts, create straightforward time series, bar charts, histograms, and scatter plots, steer clear of confusing visuals, and share insights, findings, and next actions using repeatable code samples and open documentation.
Elevify advantages
Develop skills
- Clean and check CSV data: sort out missing values, dates, and simple metrics quickly.
- Create clear charts: choose suitable axes, scales, and visuals for product data.
- Build time series displays: resample usage data and highlight trends and seasonal patterns.
- Show distributions and links: adjust histograms, scatter plots, and KDEs.
- Share insights plainly: describe charts, record steps, and suggest following tests.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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