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Data Visualization Fundamentals Course

Data Visualization Fundamentals Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

The Data Visualization Basics Course shows you how to tidy and check CSV data, manage dates, and create solid metrics for actual product use. You will learn to select proper charts, create straightforward time series, bar charts, histograms, and scatter plots, steer clear of deceptive visuals, and effectively share insights, findings, and action items 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.
  • Design straightforward charts: choose suitable axes, scales, and visuals for product data.
  • Build time series displays: resample usage data and highlight trends and seasonal patterns.
  • Visualise distributions and connections: 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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