Best Data Visualization Courses Online 2020

The world is producing twice the data now than it was producing ten years ago. To maintain this large chunk of data, the world needs more data scientists. And learning data visualization is one of the smartest moves a person can take right now. A job of the future! And if you are planning to do this, this article can help you out. Here, we have compiled five of the best data visualization courses you can find on the Internet in 2020! Let us take a look, shall we?

Table of Contents
Best Data Engineering Courses Online
Rating 4.5 out of 5

In this data visualization course, the University of California-Davis has collaborated with Tableau. This course is designed for beginners with no prior knowledge of the Tableau. You will learn the best practices and practical examples of data visualization. Again, the fundamentals and core concepts of data visualization as well as Tableau are discussed in detail. You will explore Tableau and gradually you will learn the different tools and functions that it offers. With these, you will learn how to prepare and import data into Tableau. You will also understand what differentiates data analytics and data visualization.

Key Learnings:

  Fundamentals of data visualization

  Core concepts of Tableau

  Functions of Tableau

  Compiling a huge amount of data to present meaningful information

  Implementation of Tableau on a practical level

Course Duration:

The course will take approximately 6 months if you spend 3 hours per week.

Student Testimonial:

"I am very glad for my participation in this course. As always, it´s a very good work from the Coursera team and the University, I think. If you don´t know any information, the discussion forum is open for all of you. Thank you so much."
4.5 out of 5

Data visualization with excel might sound like a joke to some of us. To be honest, we don’t think of Excel anything but software for spreadsheets. However, if you are willing to take to a whole new level, you can. Because Excel is a very powerful tool for data visualization. In this course, you will learn how to use Microsoft Excel to produce dynamic graphs and charts. However, to start this course you better have the basics of Microsoft Excel 2016 or higher version. The previous versions lack some of the features. Again, if you are a Mac user, you may have some differences in the overall experience. The course will provide you more than 12 award-winning demos from various books from Microsoft and MIT.

Key Learnings:

  Learn advanced Excel functions regarding graphs and charts

  Learn powerful and dynamic data visualization

  Understand the core concept of data visualization

  Build more than ten data visualization projects

  Obtain several demos from award-winning books.

Course Duration:

The course has 4.5 hours of video-on-demand. You will also get twenty reading materials.

Student Testimonial:

"Excellent explanations throughout the course and in the Q&As. The projects were also very relatable to real-world applications and I enjoyed navigating through others' code to learn from them as well."
Sin L.
4.6 out of 5

Data makes little sense when it is scattered and raw. However, this course will teach you how to understand that data, and compile and visualize it so that it makes sense to everyone. The course will also teach you how to leverage various data visualization tools to create expressive and dynamic graphs, and charts. You will learn the usage of several tools such as Matlab, Python, Folium, and Seaborn. However, the course is not for absolute beginners. It is an intermediate level course.

Key Learnings:

  Core concepts of data visualization

  Basic practices of data visualization

  Advanced functions of Matplotlib

  Waffle Charts

  Functions of Folium

  How to use Folium to create maps

Course Duration:

The course will take approximately 16 hours to complete.

Student Testimonial:

"This was a valuable course to learn visualization with Python. I especially appreciate the section on mapping and the waffle charts. The only suggestion I would offer is to have more opportunities for practice coding, especially for grouping data for analysis, labeling charts, calculating percentages."
Mya S.
4.4 out of 5

Data visualization is a must in every sector. It helps everyone in that industry understand the raw information that only data scientists could understand. And in this course from Microsoft, you will learn how to visualize data using various tools. However, this course is for beginners only. You will get the absolute basic knowledge of data visualization. If you are done with this phase already and seeking intermediate or advanced lessons, go for the other courses listed here. But if you are a beginner, this course can take you up to speed and build a strong foundation for learning more advanced topics.

Key Learnings:

  Simplest concepts of data visualization and most used chart types

  How interaction and dynamics enhance data charts and graphs.

  How to make basic reports

  How to create dashboards

  Learn how to interpret open source code from D3

  Visualize attractive charts from abstract ideas

  Know the common mistakes and how to avoid them.

Course Duration:

The course will take around 4 weeks to be completed if you dedicate 2-3 hours a week.

4.4 out of 5

This data visualization course will teach you the core concepts of data visualization and how to use D3 to visualize anything! It will also teach you data visualization design, how to code, and how to justify your decisions. You will learn how to select the correct visual channels for the data you are handling. You will also learn to link various graphs so that the viewer can interact with them.

Key Learnings:

  Core concepts of data visualization

  Functions of d3.js

  How to structure code

  How to design data visualization

  How to justify the decisions you have taken

  How to make data visualization interactive.

Course Duration:

This course has seven hours of video and eleven articles on-demand.

Student Testimonial:

"I learned so many things about d3. The last sections were kind of fast and I am still working on the final project because there were so many lectures that felt so hastened. Thanks, Adam, for this course. "
Muhammad A.

Data visualization is an amazing subject. Although it is not very easy to learn, it sure is interesting. Every course is different from one another as they cover different subjects focusing on one major sector, data visualization. You have to pick the one that suits you. The data visualization courses we have picked on this list can be started on-demand. So what are you waiting for? Take a look at the courses and their syllabus, pick the one that suits or interests you, and get started right away! We wish you all the best on your new journey to data visualization.

Happy learning!