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Data Visualization Best Practices & Theory
Rating: 4.1 out of 5(2 ratings)
438 students

Data Visualization Best Practices & Theory

Learn which chart type to use and why. Understand what you are actually trying to show.
Created bySlava Razbash
Last updated 1/2026
English

What you'll learn

  • Define the different types of data visualisation - scatterplot, line chart, bar chart, boxplot, histogram
  • Know how to choose the right chart to show the right thing
  • Be aware of discouraged data visualisation practices
  • Know the difference between charts, infographics, and dashboards

Course content

4 sections • 5 lectures • 1h 4m total length

  • Introduction18:17

    Explore best practices for visually presenting and exploring data with scatter plots, line charts, bar charts, histograms, and waterfall charts.

  • Introduction to Data Visualization Part 223:03

    Explore how scatter plots reveal non-monotonic relationships like daily peak load across temperatures, with color coding and faceting; compare line, bar, histogram, and waterfall charts, plus best-practice chart design.

Requirements

  • A little bit of business experience is advantageous, but not nessecary.

Description

It's easy to create a chart. But which chart to create? Few people know. Anyone can ask their favourite AI to generate a chart from a CSV file. PowerBI has a copilot. But very few people know which type of chart to use, and when. That's what you will learn in this free course. And you will be learning from an experienced data scientist.


My name is Slava Razbash, and I've been working in Data Science and AI roles since 2011. I've had to visualise a lot of data. And I've seen a lot of trash visualisations as well. Now I'm teaching you how to create data visualisations that actually tell a story.


This course focuses "what" charts you should be creating. It doesn't teach you "how" to create them. There are plenty of courses  that focus on mechanically churning out charts in various software packages. You probably have enough of that. This course is at a higher level.

Whether you are creating the charts yourself, or leading a team of analysts - this course will boost your career, and help you get a lot of good work done.

Enrol in this free course, learn about data visualization, boost your career, and get a lot of good work done.

Who this course is for:

  • Anyone who needs to use data visualisation in their work. Whether you are creating the charts yourself, or leading a team. You need to know the best practices.

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