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
This free course will teach data visualization using Tableau. The course begins with the fundamentals of data visualization such as why visualization is so important in analytics, exploratory versus explanatory visualizations, and data types and ways to encode data.
Then you will learn design principles such as how to use chart type, color, size, and shape to get the most out of data visualizations. After learning design principles, you will learn Tableau and basic functions in Tableau, like inputting data and building charts.
This course also teaches how to build Tableau dashboards and how to create visualizations to tell stories with data.
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
Rating– 4.4/5
Time to Complete– 1hr 1min
This is another completely free data visualization course. In this course, you will learn data visualization using Microsoft Excel. This is not a very detailed course, but you will understand how to determine if your data is graph-worthy and how to organize your data before 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
In this course, you will understand the different techniques and theories behind data analysis and visualization. You will also learn how to write programs and scripts that analyze and visualize the data.
R programming language is used in this course. In this course, you will also learn how to model data using logistics regression and linear regression. At the last of this course, you will learn how to handle high-dimensional data effectively using regularization.
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
This course is available at Kaggle. In this course, you will learn seaborn, a powerful but easy-to-use data visualization tool. For using seaborn, you will also learn Python programming basics.
Then you will learn how to create professional-looking line charts, bar charts, heatmaps, and advanced scatter plots. After that, you will learn about histograms and density plots.
After completing the course, you will work on a final project, where you will learn how to use your datasets and create your data visualizations.
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
This is a completely free course to learn data visualization. In this course, you will understand the fundamentals of data visualization and learn how to represent data values in visual form.
Then you will learn how to use the open standards of the web to create a graphical element, which chart type to use for a data set, and colors to avoid when making graphics.
After that, you will learn how to create graphics using the Dimple JavaScript library, how to incorporate different narrative structures into your visualizations, and bias in the data visualization process.
At the end of this course, you will learn how to leverage animation and interaction to bring more data insights to your audience and how to create a bubble map for the World Cup data set.
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
This course is Free to audit. In the free mode, you will get access to course materials but not certificates and graded assignments and exams.
In this course, you will learn the basics of data visualization and exploratory data analysis. For data visualization, the R programming package, ggplot2 is used. This course will also teach you how to use ggplot2 to create custom plots, data visualization principles, etc.
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
Rating– 4.3/5
Time to Complete- 1hr 48min
In this free course, you will learn data visualization in Python. In this course, you will learn how to use Matplotlib for Data Visualization. This course will teach you how to create and customize basic 2D charts to tell your story.
You will also learn about subplots and how to create subplots using Matplotlib. Then you will learn the full spectrum of interactive and explorable graphic representations including various plots such as Scatter, Line, Bar, Stacked Bar, Histogram, Pie, etc.
You Should Enroll if-
- You know the basics of the 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. Now, it’s time to wrap up.
Conclusion
I hope these 7 Best Free Data Visualization Courses will help you to learn data visualization. I aim 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!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
