7 Best Free Data Visualization Courses and Training in 2024

Are you looking for Best Free Data Visualization Courses?… If yes, then this article is for you. In this article, I have listed the 7 best free data visualization courses. And for these courses, you don’t need to pay a single buck. All courses are completely free.

So without any further ado, let’s start finding the Best Free Data Visualization Courses.

Best Free Data Visualization Courses

1. Data Visualization in Tableau- Udacity

Time to Complete-	3 Weeks
Rating-	NA
Best For-	Beginner

This “Data Visualization in Tableau” free course will teach data visualization using Tableau. There are four lessons in this course. Mat Leonard is the instructor of this course. The first lesson is the introduction where he will teach the importance of data visualization in the data science field, different types of plots such as Univariate Plots, Scatter Plots, Line Plots, etc. The first lesson has some quizzes on visual encoding and scatters plots.

After that, you will learn the basics of design and understand the difference between Exploratory and Explanatory Analyses. The second lesson also has quizzes on data storytelling.

In the third lesson, the instructor explains Tableau Basics. This is a detailed and long lesson on Tableau that has video lectures on Tableau and Quizzes on Tableau.

The last lesson covers how to create a Dashboard and stories in Tableau. There are quizzes on Hierarchies with Trina, Building Dashboards & Stories with Trina, and Extra Practice with Dashboards.

Pros-

• The course is FREE and you don’t need to pay any amount.
• A well-detailed course to learn data visualization using Tableau.
• This course is combined with various quizzes and exercises.

Cons-

• You will not receive a certificate after completing the course.

You Should Enroll if-

• You have no programming experience but are interested in using data to make better business decisions.

Interested to Enroll?

If yes, then start learning- Data Visualization in Tableau

2. Microsoft Excel – Basic Data Visualization in Excel- Udemy

Time to Complete-	1hr 1min
Rating-	4.4/5
Best For-	Intermediate

This Microsoft Excel – Basic Data Visualization in Excel is another completely free data visualization course. In this course, you will learn data visualization using Excel. This course has 5 sections. The first section is a basic introduction to the course and the Instructor.

The course begins in section 2, where you will learn how to prepare, clean, and organize your data using Vlookups. In the next section, you will understand how to choose the right graph, how to format it, and how to the graph style and colors.

At the end of this course, the instructor covers two special styles, “The Economist” style and the “Five Thirty-Eight” style. This is quite interesting.

Pros-

• Well-structured course to understand how to use Excel for Data visualization.
• This is a short and precise course.

Cons-

• This is not a very detailed course for data visualization.

You Should Enroll if-

• You have basic Excel skills such as a basic understanding of Excel formulas and knowledge of making a basic graph/chart in Excel.

Interested to Enroll?

If yes, then start learning- Microsoft Excel – Basic Data Visualization in Excel

3. Data Analysis and Visualization– Udacity

Time to Complete-	16 Weeks
Rating-	NA
Best For-	Intermediate

In this Data Analysis and Visualization course, the instructor will start the course with R Programming basics such as how to Install RStudio, RStudio Layout, and R Markdown Documents. You will also learn some advanced concepts of R programming in this course. Each lesson has various quizzes on R Programming.

There is a separate course where there are a series of quizzes on R Programming to test your understanding.

After learning R Programming, the instructor explains data visualization using ggplot2. This course also covers Logistic Regression, Linear Regression, and Regularization. You will also get Netflix Interview Question Series.

Pros-

• This course is practical and covers various hands-on practices or quizzes.

Cons-

• Doesn’t provide a Certificate.

You Should Enroll if-

• You have prior programming experience and are familiar with mathematics (basic linear algebra, calculus, introductory probability).

Interested to Enroll?

If yes, then start learning- Data Analysis and Visualization

4. Data Visualization- Kaggle

Time to Complete-	4 hrs
Rating-	NA
Best For-	Beginner

This Data Visualization course is available at Kaggle. In this course, you will learn seaborn. seaborn is a data visualization tool.

This course will teach you about line charts, bar charts, heat maps, and advanced scatter plots. After that, you will learn histograms and density plots.

Next, you will learn different chart types. At the end of this course, there is one final project. In this project, you have to use your own datasets and create your own data visualizations.

Pros-

• Each course has an exercise related to the topics covered.

Cons-

• No video tutorials.

You Should Enroll if-

• You have no prior programming experience.

Interested to Enroll?

If yes, then start learning- Data Visualization

5. Data Visualization and D3.js- Udacity

Time to Complete-	7 Weeks
Rating-	NA
Best For-	Intermediate

This Data Visualization and D3.js is a completely free course to learn data visualization. The course begins with data visualization fundamentals, what is good Data Visualization, Slope Graphs, Data Visualization in Data Science, Explanatory vs Exploratory, Visual Encodings, etc.

Next, you will learn the basics of D3 Building Blocks. In between the course, there is one problem set, where there are 12 questions and one mini project. In this mini-project, you have to create a visualization with the concepts you learned in the previous lessons of this course.

After completing this project, you will learn the Design Principles such as Chart Types, Unemployment Line Plots, Pre-attentive Attributes, Redundant Encodings, Practical Rules for Using Color, Gestalt Principles of Perception, etc.

Then there is another problem set on Chart Types and Axes with 12 questions and one mini project. Next, you will learn about Narrative Structures, Types of Bias, Data Bias, Reader Bias, etc. This is a very detailed course. Digesting all these concepts is not easy. That’s why take a proper break between each lesson.

The last lesson of this course is on Animation and Interaction. In this lesson, there is on case study on US Unemployment. This is also a lengthy lesson.

After completing the course content, there is one final project. In this project, you have to use dimple.js or d3.js for creating a data visualization.

Pros-

• You can add the course project to your Resume.
• The course is in-depth and advanced.
• There are quizzes and projects in this course.

Cons-

• The D3 code in this course will not work with version 4 of D3.js.
• Doesn’t provide a course certificate.

You Should Enroll if-

• You are familiar with basic programming principles, including data types, If else statements, for loops, functions, and objects.

Interested to Enroll?

If yes, then start learning- Data Visualization and D3.js

6. Data Science: Visualization- edX

Time to Complete-	8 Weeks
Rating-	NA
Best For-	Beginner

This “Data Science: Visualization“course is Free to audit. In free-to-audit mode, you can’t access the quizzes and course certificates. Only the learning material is available freely.

So, when I audited this course for free, I found that there are 4 sections in this course. In the first section, there are video tutorials on data visualization introduction, Distributions, Quantiles, Percentiles, Boxplots, and Exploratory Data Analysis.

In the next section, the basics of ggplot2 are discussed. You will also learn Gapminder and Data Visualization Principles.

Pros-

• This is a short course to understand data visualization basics using ggplot2.

Cons-

• You will not get access to certificates, graded assignments, and exams.

You Should Enroll if-

• You have basic knowledge of R programming.

Interested to Enroll?

If yes, then start learning- Data Science: Visualization

7. Data Visualization in Python Masterclass™ for Data Scientist- Udemy

Time to Complete-	1hr 48min
Rating-	4.3/5
Best For-	Intermediate

In this “Data Visualization in Python Masterclass™ for Data Scientist” free course, you will learn data visualization using Matplotlib, a Python Library.

The course is divided into 6 sections. First, you will learn Matplotlib basics such as what matplotlib is, why to learn matplotlib, how to install matplotlib in Jupyter Notebook, and how to plot simple graphs in matplotlib.

You will also understand the fundamentals of plots(Line, Marker, Legend Lable Title, and Grid). The instructor also explains different plot types such as bar, histogram, pie, scatter, box, and 3D.

There is also a short video tutorial on Subplot, Text, and Widgets. Subplots are functions where you can plot more than one graph in one coordinate.

Pros-

• Good short course for understanding matplotlib basics for data visualization.

Cons-

• Doesn’t provide a certificate of completion.

You Should Enroll if-

• You know the basics of Python programming language.

Interested to Enroll?

If yes, then start learning- Data Visualization in Python Masterclass™ for Data Scientist

That’s all!

These are the 7 Best Free Data Visualization Courses.

Comparison of FREE Data Visualization Courses

S/N	Course Name	Tool/Library Covered	Rating	Best For	Time to Complete
1.	Data Visualization in Tableau– Udacity	Tableau	NA	Beginners	3 Weeks
2.	Microsoft Excel – Basic Data Visualization in Excel– Udemy	Excel	4.4/5	Intermediate	1hr 1min
3.	Data Analysis and Visualization– Udacity	ggplot2	NA	Intermediate	16 Weeks
4.	Data Visualization– Kaggle	seaborn	NA	Beginners	4 hours
5.	Data Visualization and D3.js– Udacity	D3.js	NA	Intermediate	7 Weeks
6.	Data Science: Visualization– edX	ggplot2	NA	Beginner	8 weeks
7.	Data Visualization in Python Masterclass™ for Data Scientist– Udemy	Matplotlib	4.3/5	Intermediate	1hr 48min

Now, it’s time to wrap up.

Conclusion

I hope these  7 Best Free Data Visualization Courses will help you to learn data visualization. My aim is to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Happy Learning!

Thank YOU!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden