Last Updated on November 16, 2019

In this post, I will give a rundown of some of the Best Data Visualization Courses that will help you develop industry ready Data Visualization Skills.

All these courses are available online, some are available at minimal costs and will help you learn and excel at Data Visualization using Python, R, Tableau, d3.js, and other programs or tools.

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Data Visualization is gaining popularity exceedingly fast, so this piece will be updated at least once every quarter.

I’ve ranked all the courses according to experience level and student data point reviews.

These courses are suitable for beginners and intermediate learners.

This specialization is comprised of five-courses, taught by the leading professors of University of California – Davis.

In this Data Visualization Specialization, you will learn to visualize business data with Tableau by understanding what data visualization is, and how you can use it to better see and understand data.

You’ll examine the fundamental concepts of data visualization and explore the Tableau interface by learning to identify and then applying the various tools Tableau has to offer.

Is it right for you?

This course is the perfect place to start Learning How to Visualize business data with Tableau if you have no previous background in statistics or data science. The instructors focus is specifically on helping students build Data Visualization skills with Tableau.

Also, this course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.

By the end of the course, you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization.

This is a very good course for every aspiring Data Scientist to learn about colour theory and acquire basic colour knowledge to create effective Data Science Visualizations.

This course “Colors for Data Science A-Z: Data Visualization Color Theory,” is offered by SuperDataScience Team on Udemy.

Is it right for you?

If your question about Data Visualization is a big question mark, this course is will help you equip you with the knowledge to create simple and clean visualizations using any software or language. Moreover, you will also learn where colours originate from and what they mean. Whether you are a beginner or a seasoned Data Scientist, this course will help you truly help you fast-track your Analytics skills to the next level. GO TO COURSE

In this course, Data Visualization with Python you will learn how to take the data at first glance that has little meaning and present that data in a form that simply makes sense to people.

You will be learning various techniques already developed for presenting data visually and using several data visualization libraries in Python like Matplotlib, Seaborn, and Folium.

Is it right for you?

This 3-week course is for anyone interested in data science, and knows how to program in Python or has completed the IBM Cognitive Class Python for Data Science course.

You will learn about data visualization and some of the best practices to keep in mind when working with Advanced Visualizations and Geospatial Data.

This course is created by Harrison Kinsley who is well known for teaching a massive variety of Python Programming topics on his Youtube Channel Sentdex and Pythonprogramming.net

This Data Visualization Course covers all the major charts that Matplotlib is capable of providing in 58 Lectures and you will learn to use Matplotlib which is a Python 2D plotting library.

Is it right for you?

This course has been specially designed for people who want to learn a variety of ways to visually display python data using Matplotlib library and should not be taken without the basic understanding of Python Programming.

By the end of this course, you will have a deeper understanding of Data Visualization with Python and Matplotlib and you’ll be able to create well presented, visually appealing graphs.

Python Data Visualization course is offered by Rice University and is part of the Introduction to Scripting in Python Specialization.

This course will teach you to acquire the data from sources on the Web using python, and then help you clean, process, analyze, and visualize that data.

You will also learn to use the Pygal plotting library.

Is it right for you?

Python Data Visualization Course is suitable for intermediate learners who are eager to learn the general concepts of data visualization using Python.

This Course will introduce you to Python sets as they are used to hold unordered collections of data without duplicates.

By the end of the course, you will have the know-how-to of analyzing the data and generating visualizations using Pygal plotting library.

This course is created by DataCamp instructors Dhavide Aruliah who is Data Scientist and Applied Mathematician, and Bryan Van de Ven who is Software Engineer at Anaconda and Developer of Bokeh.

The topics covered in this course include customizing graphics, plotting two-dimensional arrays (e.g., pseudocolor plots, contour plots, images, etc.), statistical graphics (e.g., visualizing distributions & regressions), and working with time series and image data.

Is it right for you?

This course is the perfect place to start learning Data Visualization with Python if you have basic knowledge of statistics and math.

Also, this course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python.

The instructors focus specifically on providing a broader coverage of the Matplotlib library and an overview of Seaborn (a package for statistical graphics).

This course is created by Dan Appleman who is CTO of Full Circle Insights and a well-known public speaker and author.

This course on Data Visualization for Developers has 4.2-star ratings on Pluralsight and will introduce any developer to every aspect of Data Visualization, from story to numbers, to architecture, to code.

The topics covered in this course include fundamentals of data visualization that every developer needs to know regardless of architecture, platform, tools, or language.

Is it right for you?

This course is the perfect place to start learning Data Visualization if you already have a programming experience.

In this course, you’ll learn and understand the rules of Data Visualization and its Architecture, Correlation, Causation, Interpolation, and Extrapolation will hold no secrets anymore.

Interactive Data Visualization course is a complete guide to mastering Bokeh which is a Python library for building advanced and modern data visualization web applications. Created by Bryan Van de Ven, Software engineer at Anaconda and developer of Bokeh. In this course, you will learn to make use of Bokeh Visualization library for Python (and other languages) that target modern web browsers for presentation and build complex statistical plots quickly and through simple commands.

Is it right for you?

If you have an experience in Python programming, Bokeh can help you to quickly and easily create interactive plots, dashboards, and data applications. This course will provide an in-depth introduction to use the Bokeh library for generating interactive charts, graphs, and other visualizations using Python. GO TO COURSE

This course is created by Ben Sullins who is a certified data geek and author with 15 years of industry experience.

This course has a 4.8-star rating on Pluralsight and will you help understand how to use D3.js (data-driven documents) make powerful data visualization.

This course mainly focuses on how to visually encode and present data to an audience once an insight has been found.

Is it right for you?

This is a beginner course, but it is assumed you are familiar with the basics of HTML, CSS, and JavaScript. In this course, you will learn the fundamentals of data visualization and practice communicating with data and understand how to apply design principles, human perception, color theory, and effective storytelling to data visualization.

Thanks for making it to the end :~)

If you liked this article, I’ve got a practical reads for you one about How to Learn Data Science and one about the Best Data Science Courses on the Internet.