7 Best Data Visualization Courses Online (Master Your Storytelling Skill)

Data Visualization gives us a clear perception of the data by using maps or graphs. Data Visualization forms the data more naturally and easy for humans to understand trends, patterns, and outliers within large data sets.

So if you want to learn Data Visualization and looking for some Best Data Visualization Courses Online, then you are in the right place. In this article, I am gonna share the 7 Best Data Visualization Courses Online.

In Data Science, you have to showcase your findings in a visual form, so that stakeholders can understand them properly. This is an important step in Data Science.

That’s why knowledge of Data Visualization is important. And for that, you should be familiar with data visualization tools like ggplot, matplotlib, Seaborn, and D3.js.

You should know various Reporting tools like Tableau and power bi. These tools have in-built visualization reporting tools.

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

Best Data Visualization Courses Online

1. Data Visualization with Tableau Specialization– Coursera

Rating- 4.6/5

Provider- University of California, Davis

Time to Complete- 6 months (If you spend 3 hours/week)

In this specialization program, you will learn Data Visualization with Tableau. Tableau is the most powerful, secure, and flexible end-to-end analytics platform for your data. Audi, Bank of America, Amazon, Burger King, EY, and Kimberly-Clark Corporation are a few of the top companies using Tableau

This specialization program is dedicated to newcomers to data visualization with no prior experience using Tableau. In this specialization program, you will see examples from real-world business cases and journalistic examples from leading media companies.

After completing this Tableau Specialization program, you will be able to generate powerful reports and dashboards. And this will help people to make decisions and take action based on their business data.

This Specialization program is a 5 Course Series. Let’s see the course details-

Courses Include-

1. Fundamentals of Visualization with Tableau
2. Essential Design Principles for Tableau
3. Visual Analytics with Tableau
4. Creating Dashboards and Storytelling with Tableau
5. Data Visualization with Tableau Project

Skills Gain-

• Storyboarding
• Map
• Tableau Software
• Data Visualization (DataViz)
• Data Virtualization
• Visualization (Computer Graphics)
• Data Analysis
• Visual Analytics
• Interactive Visualization

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Now, let’s see whether you should enroll in this specialization program or not.

You Should Enroll if-

• You are a beginner in data visualization but comfortable working with data and datasets.

Interested to Enroll?

If yes, then check out all details here- Data Visualization with Tableau Specialization

2. Data Visualization with Advanced Excel– Coursera

Rating- 4.8/5

Provider- PwC

Time to Complete- 15 hours

This course will teach data visualization with Excel. Throughout the course, you will learn how to visualize data, tell a story, and explore data by reviewing the core principles of data visualization and dashboarding.

In this course, you will create complex graphs and Power View reports by using Excel. To complete the assignments of this course, you should have MS Excel 2013 version on your computer.

Now, let’s see the syllabus of the course-

Syllabus of the Course-

• Preparing a Professional Excel
• Advanced Scenario Analysis
• Data Visualization
• Dashboarding

Extra Benefits-

• You will get Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not.

You Should Enroll if-

• You are a beginner and want to learn data visualization with advanced Excel 2013 functions.
• Make sure you have MS Excel 2013 version on your computer.

Interested to Enroll?

If yes, then check out all details here- Data Visualization with Advanced Excel

3. Data Visualization– Udacity

Rating- 4.7/5

Provider- Udacity

Time to Complete- 4 Months (if you spend 10 hours/week)

This is a Nano-Degree Program offered by Udacity. In this program, you will learn how to build data visualizations and dashboards. After this, you will learn to draft presentations using storytelling techniques, visualizations, and animations. Now, let’s see the syllabus of the Program-

Syllabus of the Program-

• Intro to Data Visualization
• Dashboard Designs
• Data Storytelling
• Advanced-Data Storytelling

Extra Benefits-

• You will get a chance to work on real-world projects from Industry Experts.
• You will get Technical mentor support.
• Along with this, you will get a personal coach & career services,
• Interview preparations,
• Resume services,
• GitHub review,
• LinkedIn profile review.

Now, let’s see whether you should enroll in this course or not.

You Should Enroll if-

• You are familiar with descriptive statistics, like median/median/mode, variance and standard deviations, and distributions.
• You should also know how to analyze data in spreadsheets.

Interested to Enroll?

If yes, then check out the details here- Data Visualization

4. Data Visualization with Python–DataCamp

Time to Complete- 20 hours

This is a skill track offered by DataCamp. In this skill track, there are 5 courses. These courses will teach you data visualization with Python and its most popular libraries Matplotlib, Seaborn, Bokeh, etc.

In the first course, you will learn how to visualize data using Matplotlib in plots and figures expose the underlying patterns in the data and provides insights.

The second course provides an introduction to Seaborn and teaches you how to visualize your data using plots such as scatter plots, box plots, and bar plots.

In the third course, you will learn how to construct compelling and attractive visualizations that help you communicate the results of your analyses efficiently and effectively.

The fourth course teaches Bokeh, an interactive data visualization library for Python. In the last course, you will learn how to make attractive visualizations of geospatial data with the GeoPandas package.

Who Should Enroll?

• Those who have some prior knowledge in Python and want to learn Data Visualization with Python.

Interested to Enroll?

If yes, then check out the course details here- Data Visualization with Python

Note- If you want to learn Data Visualization with R programming, then you can check this skill track- Data Visualization with R

5. Information Visualization Specialization-Coursera

Rating- 4.7/5

Provider- New York University

Time to Complete- 4 months (If you spend 3 hours/week)

This is another Data Visualization course, where you will learn how to select the correct visualization tool for a given data analysis and presentation problem. This specialization will help you to gain the required knowledge and practical skills to develop a strong foundation in Data Visualization.

In this specialization program, you will create data visualizations using D3.js. There are 4 courses in this specialization program-

Courses Include-

1. Information Visualization: Foundations
2. Information Visualization: Applied Perception
3. Information Visualization: Programming with D3.js
4. Information Visualization: Advanced Techniques

Extra benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Now, let’s see whether you should enroll in this specialization program or not.

You Should Enroll if-

• You have basic programming experience.

Interested to Enroll?

If yes, then check out all details here- Information Visualization Specialization

6. Data Visualization with Python– Coursera

Rating- 4.5/5

Provider- IBM

Time to Complete- 18 hours

This course introduces a range of data visualization techniques like line graphs, pie charts, bar charts, and specialized visualizations like Waffle and Folium. In this course, you will learn various data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.

Now, let’s see the syllabus of the course-

Syllabus of the Course-

• Introduction to Data Visualization Tools
• Basic and Specialized Visualization Tools
• Advanced Visualizations and Geospatial Data

Extra Benefits-

• You will get Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not.

You Should Enroll if-

• If you have some previous knowledge of Python. This course is a bit challenging for a beginner.

Interested to Enroll?

If yes, then check out all details here–Data Visualization with Python

7. Interactive Data Visualization in R– DataCamp

Time to Complete- 20 hours

This is another skill track offered by Datacamp. In this skill track, there are 5 courses. These courses will teach you how to create Interactive Data Visualization in R.

In the first course, you will learn how to create maps using the IPEDS dataset, which contains data on U.S. colleges and universities.

The second course teaches how to create and customize interactive graphics in plotly using the R programming language. You will also review data visualization best practices.

In the third course, you will extend your understanding of plotly to create animated and linked interactive graphics, which will enable you to communicate multivariate stories quickly and effectively.

The fourth course teaches how to visualize big data in R using ggplot2 and trelliscopejs. In the last course, you will learn rbokeh: a visualization library for interactive web-based plots.

Who Should Enroll?

• Those who have some prior knowledge in R and want to learn Data Visualization with R programming.

Interested to Enroll?

If yes, then check out the course details here- Interactive Data Visualization in R.

So, these are some of the Best Data Visualization Courses Online. Now, it’s time to wrap up.

Conclusion

I hope these 7 Best Data Visualization Courses Online 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.

Tell me in the comment section, which course you like.

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😊.