{"id":35426,"date":"2023-05-19T09:05:00","date_gmt":"2023-05-19T16:05:00","guid":{"rendered":"https:\/\/www.springboard.com\/blog\/?p=35426"},"modified":"2025-01-27T04:17:20","modified_gmt":"2025-01-27T12:17:20","slug":"best-data-visualization-courses","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-analytics\/best-data-visualization-courses\/","title":{"rendered":"13 Best Data Visualization Courses for 2025"},"content":{"rendered":"\n

According to IBM, data visualization skills are some of the fastest-growing analytical skills in terms of market demand. And it\u2019s easy to see why. Data visualizations allow data scientists to turn complex findings into compelling graphs that can be understood by non-technical stakeholders. <\/p>\n\n\n\n

So whether you want to become a data analyst or leverage the power of data in your current role, taking a data visualization course will help you turn your average bar graph into a persuasive tool for driving business decisions. <\/p>\n\n\n\n

However, with the sheer amount of courses available on this topic, finding the right one for you can be a struggle. To help provide a good starting point for your search, we\u2019ve compiled this comprehensive list of the best data visualization courses.<\/p>\n\n\n\n

How Important Is a Data Visualization Course?<\/h2>\n\n\n\n

They\u2019re not just important\u2014they\u2019re essential. Data visualization courses can not only teach you how to make charts and graphs but also help you design more compelling data visualizations<\/a> to help convey your message to your audience.  <\/p>\n\n\n\n

13 Best Data Visualization Courses<\/h2>\n\n\n
\n \n \n \n \n \n \n \n <\/colgroup>\n \n\n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n
Company<\/th>Course<\/th>Rank<\/th>Price<\/th>Details<\/th><\/tr>\n<\/thead>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/springboard-logo-copy.png, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/springboard-logo-copy.png, springboard-logo-copy<\/td>Data Analytics Bootcamp<\/td>4.64<\/td>$8,500<\/td>https:\/\/www.springboard.com\/courses\/data-analytics-career-track\/<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, coursera-logo<\/td>Data Visualization with Tableau Specialization<\/td>4.5<\/td>$39<\/td>https:\/\/www.coursera.org\/specializations\/data-visualization<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/edx.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/edx.jpg, edx<\/td>Data Science: Visualization<\/td>3.4<\/td>$149<\/td>https:\/\/www.edx.org\/course\/data-science-visualization<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/udacity-logo.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/udacity-logo.jpg, udacity-logo<\/td>Data Visualization Nanodegree Program<\/td>4.72<\/td>$1356<\/td>https:\/\/www.udacity.com\/course\/data-visualization-nanodegree--nd197<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/datacamp-logo.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/datacamp-logo.jpg, datacamp-logo<\/td>Understanding Data Visualization<\/td>4.15<\/td>$25<\/td>https:\/\/www.datacamp.com\/courses\/understanding-data-visualization<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/freecodecamp-logo.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/freecodecamp-logo.jpg, freecodecamp-logo<\/td>Data Visualization Certification<\/td>4.7<\/td>N\/A<\/td>https:\/\/www.freecodecamp.org\/learn\/data-visualization\/<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/udemy-logo-1.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/udemy-logo-1.jpg, udemy-logo<\/td>Hands-On Tableau Training for Data Science<\/td>2.4<\/td>$99<\/td>https:\/\/www.udemy.com\/course\/tableau10\/<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/code-academy-logo.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/code-academy-logo.jpg, code-academy-logo<\/td>Visualize data with Python<\/td>4.2<\/td>$179.88<\/td>https:\/\/www.codecademy.com\/learn\/paths\/visualize-data-with-python<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/linkedin-logo-e1667755363778.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/linkedin-logo-e1667755363778.jpg, linkedin-logo<\/td>Learning Data Visualization<\/td>4.4<\/td>$39.99<\/td>https:\/\/www.linkedin.com\/learning\/learning-data-visualization-3<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, coursera-logo<\/td>Data Visualization with Python<\/td>4.5<\/td>N\/A<\/td>https:\/\/www.coursera.org\/learn\/python-for-data-visualization<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/08\/coursera-logo.png, coursera-logo<\/td>Coding Bootcamp<\/td>4.8<\/td>$39.99<\/td>https:\/\/www.coursera.org\/specializations\/excel-data-analytics-visualization<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/storyiq.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/11\/storyiq.jpg, storyiq<\/td>Data Storytelling Course<\/td>4.9<\/td>$230<\/td>https:\/\/storyiq.com\/ph\/course\/data-storytelling-for-business\/<\/td> <\/tr>\n
, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/udemy-logo-1.jpg, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/09\/udemy-logo-1.jpg, udemy-logo<\/td>Data Visualization with Python for Beginners<\/td>2.4<\/td>$35<\/td>https:\/\/www.udemy.com\/course\/making-graphs-in-python-using-matplotlib-for-beginners\/<\/td> <\/tr>\n <\/tbody>\n <\/table>\n \n \n \n<\/div>\n\n\n\n\n

Here are our top 13 data visualization courses. <\/p>\n\n\n\n

Data Analytics Career Track – Springboard<\/a><\/h3>\n\n\n\n
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Rating<\/h4>\n\n\n\n

Course Report: 4.64 out of 5<\/a> (1,295 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

If you\u2019re interested in becoming a data analyst<\/a>, Springboard\u2019s Data Analytics Career Track can do more than just teach you about data visualization. This course is designed to take you through every step of the analysis process, from developing your structured thinking and business problem-solving skills to connecting data with SQL<\/a> and visualizing it with Python. After graduation, you\u2019ll be ready for your first entry-level position as a data analyst<\/a>.<\/p>\n\n\n\n

Related Read: What Does a Data Analyst Do?<\/a><\/em><\/p>\n\n\n\n

To help you on your learning journey, Springboard provides 1:1 mentoring with industry professionals and expert career coaches. From technical questions to practice for your first data analytics interview<\/a>, you\u2019ll have everything you need to get the most out of your time on the course. <\/p>\n\n\n

Get To Know Other\tData Analytics Students<\/h4>
\"Bart<\/a>

Bart Teeuwen<\/p>

Global Business Analyst, Global Talent Intelligence (GTI) at Meta<\/p><\/div>

<\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Maura<\/a>

Maura Fields<\/p>

Data Analyst at Northeastern University<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Sarah<\/a>

Sarah Savage<\/p>

Content Data Analyst at EdX<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div><\/div><\/div>\n\n\n\n

Best For<\/h4>\n\n\n\n

This career track course is aimed at workers in the professional sector who are looking for a career change, and the course requires at least two years of experience working with office, design, or programming tools. If you don\u2019t meet these requirements, you can take Springboard\u2019s \u201cIntroduction to Analytics\u201d prep course to catch up.<\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The course requires a commitment of 20-25 hours per week for six months, but the schedule is flexible, and 1:1 calls can be arranged when it suits you. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

When paid upfront, the discounted price of the course is $8,500. There are also monthly, credit loan, and deferred tuition options that allow you to pay over time. <\/p>\n\n\n\n

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Data Visualization With Tableau Specialization – UC Davis on Coursera<\/a><\/h3>\n\n\n\n
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Rating<\/h4>\n\n\n\n

Coursera: 4.5 out of 5<\/a> (6,172 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

The UC Davis University of California offers a data visualization course focusing on the visualization tool Tableau<\/a>. You can learn everything you need to know about the different features of this software and use it to prepare data and conduct exploratory data analysis<\/a> before designing your own effective visualizations and dashboard designs. <\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

While aimed at beginners in the area of data visualization, this course expects students to be comfortable working with data. If you have no programming experience or experience gathering, cleaning, or analyzing data, a course that begins with these skills might be better for you. <\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The suggested pace for this course is three hours per week for six months, but you are free to study more or less than that a week if you choose. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

Courses on Coursera can be audited for free. This grants you access to all of the course material and allows you to complete the projects free of charge, but if you want to earn a certificate for completing the course, you\u2019ll need to subscribe for $39 a month.<\/p>\n\n\n\n

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Data Science: Visualization – Harvard University on Edx<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

Trustpilot: 3.4 out of 5<\/a> (1,264 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

EdX teamed up with Harvard University to create its data visualization course. Focusing on the programming language R<\/a>, the curriculum will take you through the basic principles of data visualization and presenting your findings, as well as using ggplot2<\/a>\u2014a data visualization software for R\u2014to create custom plots.<\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

You can take this course even as a total beginner. All you need is a computer with an up-to-date browser and an internet connection. The curriculum is completely self-paced, so even if you have a part-time or full-time job, you can enroll and study according to your own schedule. <\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The course is designed to be completed in eight weeks, with one or two hours per week.<\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

Some of the course\u2019s materials can be audited for free, but the full price of the program is $149.<\/p>\n\n\n\n

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Data Visualization Nanodegree – Udacity<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

Course Report: 4.72 out of 5<\/a> (611 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

Udacity\u2019s data visualization course covers a range of data visualization techniques, such as using common plot types such as bar charts, scatter plots, box plots, bubble plots, regression plots, and pie graphs to create easy-to-comprehend dashboards with Tableau. As well as visualizing data, you will also learn data storytelling<\/a> and how to present findings in an engaging and persuasive way using color schemes and visualization theory.<\/p>\n\n\n\n

The course mixes self-paced learning with 1:1 feedback by using a team of over 1,400 professional project reviewers and technical mentors to respond to your inquiries. You can ask a question at any time using Udacity\u2019s messaging platform and receive an answer within an hour. <\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

This course is aimed at students who already have basic practical skills in visual data analysis and is perfect if you need both a flexible schedule and personalized guidance.<\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The estimated duration of the course is four months at 10 hours per week. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

The standard price for this course is $1356 for four months of access to the course materials, or $399 per month.<\/p>\n\n\n\n

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Understanding Data Visualization – Datacamp<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

Course Report: 4.15 out of 5<\/a> (87 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

This mini online course on Datacamp is part of the Data Analyst Track. Over the course of 14 videos and 43 exercises, you\u2019ll learn how to avoid common pitfalls when visualizing data to make sure your dashboards and bar graphs convey the story to your audience. The exercises Power BI and real-life datasets on a variety of topics, such as the greatest hip-hop songs of all time and fatty acids in olive oil, to give you hands-on experience working with data. <\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

This short course is suitable for anyone interested in gaining a basic knowledge of data visualization techniques and best practices.<\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The 14 videos and 43 exercises of this program take two hours on average to complete. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

You can get full access to this course by subscribing to Datacamp for $25 a month, billed annually. <\/p>\n\n\n\n

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Data Visualization Certification – freeCodeCamp<\/a><\/h3>\n\n\n\n
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Indeed: 4.7 out of 5<\/a> (117 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

The free data visualization certification at freeCodeCamp uses the JavaScript library D3 to create interactive data visualizations in browsers. It doesn\u2019t cover any visualization software like Microsoft Excel, Tableau, or Power BI.<\/p>\n\n\n\n

The course ends with five hands-on projects that require you to do everything from fetching the data to creating a range of visualizations, including bar charts, scatterplot graphs, heat maps, choropleth maps, and treemap diagrams.<\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

freeCodeCamp is a non-profit organization, and all its content is free, making it a perfect place for beginners to test out different areas of programming and find what suits them. <\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The course contains 29 modules and five data visualization projects for you to complete. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

Full access to this course is free of charge, but we recommend making a free account to save your progress.<\/p>\n\n\n\n

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Tableau 2022 A-Z: Hands-On Tableau Training for Data Science \u2013 Kirill Eremenko on Udemy<\/a><\/h3>\n\n\n\n
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Trustpilot: 2.4 out of 5<\/a> (964 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

The Tableau training course is suitable for complete beginners and teaches you the fundamentals of visualization with Tableau<\/a>. Starting with the basic concepts of datasets and what Tableau is used for, the course then progresses to visual elements such as maps, scatterplots, interactive visualization, and dashboards.<\/p>\n\n\n\n

You can progress through the curriculum by watching video lectures and participating in quizzes at the end of each section, making the course completely self-paced and flexible. <\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

Anyone from interested individuals to managers can take this course to help form a basic knowledge of Tableau software. <\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

With 10 sections and 82 video lectures, this online course takes an average of nine hours to complete. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

The full price of the course is $99, paid for upfront. <\/p>\n\n\n\n

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Visualize Data With Python \u2013 Codecademy<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

Trustpilot: 4.2 out of 5<\/a> (1,365 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

On Codecademy, you can learn techniques for visualizing data using Python and visualization libraries such as Pandas, Seaborn, and MatPlotLib. The course teaches the skills you need to level up from Microsoft Excel and create visualizations more quickly and efficiently.<\/p>\n\n\n\n

The course is delivered through video lectures and quizzes and culminates in two capstone projects that you can use in your professional portfolio<\/a>. <\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

This program is perfect for professionals who want to improve their data visualization skills and learn to use more powerful tools than Microsoft Excel. Beginners are welcome, so you can master these techniques from scratch if you don\u2019t have any prior experience. <\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The course takes an average of 6 weeks to complete. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

This course costs $179.88 altogether and is bought by subscribing to Codecademy for one year at $14.99 a month. While you have an active subscription, you also have access to all other Pro courses on the platform.<\/p>\n\n\n\n

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Learning Data Visualization \u2013 Bill Shander on LinkedIn Learning<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

G2: 4.4 out of 5<\/a> (563 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

Suitable for beginners, this course teaches you how to use data to craft valuable insights and highlight statistics to strengthen the story you want to tell. It\u2019s a self-paced course available both on desktop and mobile, using a range of video lectures and quizzes to deliver the content.<\/p>\n\n\n\n

Best For<\/h4>\n\n\n\n

This course focuses on telling a story with your data visualizations to help your audience understand your point and feel persuaded to act according to your recommendations. If you\u2019re learning data analytics<\/a> and feel less than confident in this area, this could be a good extra resource for you.<\/p>\n\n\n\n

Duration<\/h4>\n\n\n\n

The duration of this course is three hours and 49 minutes. <\/p>\n\n\n\n

Price<\/h4>\n\n\n\n

This short course can be completed using LinkedIn Learning\u2019s month-long free trial or paid for with a $39.99 monthly subscription.<\/p>\n\n\n\n

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Data Visualization With Python \u2013 IBM on Coursera<\/a><\/h3>\n\n\n\n
\"best<\/figure>\n\n\n\n

Rating<\/h4>\n\n\n\n

Coursera: 4.5 out of 5<\/a> (10,357 ratings)<\/p>\n\n\n\n

Overview<\/h4>\n\n\n\n

Using Python and a number of its data visualization libraries, this course teaches you how to create a range of visual elements for telling stories with data. Some of the types of data visualizations<\/a> covered include:<\/p>\n\n\n\n