Data Visualization Fundamentals Course
This course provides foundational skills in data visualization, focusing on cleaning data, selecting appropriate charts, and communicating insights effectively using reproducible code.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Data Visualization Fundamentals Course teaches you how to clean and validate CSV data, handle dates, and build reliable metrics for real product usage. You will learn to choose the right charts, design clear time series, bar charts, histograms, and scatter plots, avoid misleading visuals, and clearly communicate insights, conclusions, and next steps with reproducible code examples and transparent documentation.
Elevify advantages
Develop skills
- Clean and validate CSV data: fix missing values, dates, and basic metrics fast.
- Design clear charts: pick the right axes, scales, and visuals for product data.
- Build time series views: resample usage data and expose trends and seasonality.
- Visualize distributions and relationships: tune histograms, scatter plots, and KDEs.
- Communicate insights clearly: explain charts, document steps, and propose next 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 are saying
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

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

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

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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