14 Best Data Visualization Courses, Training & Certifications [Updated March 2023]

 

So the first one on the list is not simply an online data visualization course but an entire specialization on data visualization. Launched by University of California, it is a beginner’s level specialization, which means no prior knowledge is required. Though data handling and ease with huge data is a must. The tool that is used to visualize data is Tableau in this case. Tableau’s library of resources has been leveraged to demonstrate the best practices for data visualization and data storytelling. Filled with real-world business cases and journalistic examples from leading media companies, the course will help you generate powerful reports that would convince any client to take action based on their business data. The specialization covers 5 courses –

 

• Fundamentals of Visualization with Tableau
• Essential Design Principles for Tableau
• Visual Analytics with Tableau
• Creating Dashboards and Storytelling with Tableau
• Data Visualization with Tableau Project

 

As you can see the specialization takes learners in a structured manner from basics to full fledged project.

 

After completing this data visualization certificate course, you’ll be able to:

• Use Tableau to create high-impact visualization
• Apply predicative analytics to improve business decision making
• Work on a Capstone project to present data to a fictional company
• Learn to use various features of Tableau
• Perform exploratory analysis
• Combine data in the best way to make sense

 

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A part of the Data Mining Specialization, this data visualization online course is taken by University of Illinois. Spread across 4 weeks and requiring around 15 hours of effort, it will train you in the general concepts of data mining along with primary methodologies and applications. Further, it would be diving into a subfield of data mining i.e., pattern discovery. Methods for pattern-based classification and their applications would also be thoroughly discussed. You would also be able to apply scalable pattern discovery methods on massive transactional data.

 

Once you are done with the data visualization training, you can:

• Mine for diverse kinds of patterns
• Understand pattern evaluation measures
• Visualize numerical data
• Visualize non-numerical data
• Interpret visualizations created from the data set

 

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Data visualization courses that have been covered so far on the list are being offered by educational institutions but it is always beneficial to have a course that is offered by an industry behemoth. And that’s precisely the reason this data visualization course finds its place on the list. It is offered by IBM and uses Python to develop storytelling with data. The main aim of this course is to impart you with skills where you can completely overturn a seemingly meaningless data into something sensible which others can comprehend. Spread across 3 weeks with 10 hours of total effort required, this data visualization online course is for intermediate learners.

 

Another good aspect of going for this data visualization course is that it is a part of many programs, therefore completing this course will mean that you have also completed a portion of

 

1. Applied Data Science Specialization
2. IBM Data Science Professional Certificate

 

 

Some of the highlights of this data visualization certificate course are:

• Techniques of visual data representation
• Use of Python libraries like Matplotlib, Seaborn, and Folium
• Leveraging a software tool to visualize data
• Make effective decisions based on the data in hand

 

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This data visualization course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization. Loaded with hands-on instruction of advanced Excel 2013 functions, you’ll be learning to build database and data models using PowerPivot. Moreover, you’ll be able to practice your skills by leveraging some of Excel’s built-in tools. You’d be required to devote 3-4 hours/week for 4-weeks to complete it at the suggested pace. With more than 50,000 enrollments alone in this course and more than 80,000 in specialization, and rated 4.8, it is one of the most popular courses on data visualization on Coursera.

 

The important skills you’d be getting from this data visualization class are:

• Explore data and form meaningful information
• Building complex graphs and PowerView reports
• Combine the above into dynamic dashboards
• To go forward with the course, you need to have PowerPivot to complete some of the exercises

 

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One of the bestseller courses on data visualization, it uses the powerful D3 library for visualizing data. Neatly divided into 3 phases, Adam Janes, the instructor, begins by building up your knowledge for D3, work with various types of charts and diagrams to understand new displays, make use of sophisticated tools further down the line, and finally culminates with a class project.

 

This data visualization online course mainly focuses on:

• Fundamental understanding of the various building blocks of D3
• Critically analyzing existing visualizations and creating a better representation
• Development of web apps with multiple visualizations
• Articulation of abstract ideas with beautiful visualizations
• Interpretation of open source code from D3 community

 

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Though it seems that the objective of the course ends with making users learn Python but it goes much beyond that and that’s why it finds a place in the list of the best data visualization courses. At the end of the course, you would be capable of creating pandas to analyze the data sets. With this 21-hours on-demand video course, you would be able to access a 100 different example Python codes and more than a hundred lectures to gain some in-depth knowledge. All the data analysis mini-projects that you work on in this course can also serve as a portfolio.

 

After completing this advanced data visualization course, you’d be able to:

• Feel confident about programming in Python
• Create and manipulate arrays through the numpy library
• Work with various data formats like JSON, HTML, and Excel
• Have a portfolio of projects
• Understand the Jupyter Notebook Environment
• Use matplotlib and the seaborn modules for data visualization

 

Note: Learners should have understanding of HTML, Javascript and should know how to interact with DOM using Jquery.

 

 

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Bokeh is the way to go if you want industry-specific knowledge to impress potential employers. This course serves as the complete guide for mastering Bokeh. Bokeh is a Python library that aids in creating advanced web applications using modern data visualization. You would start by plotting simple datasets and work your way towards changing the behavior of plots via the internet. Since you would be working on a Python library, this course requires you to be familiar with the basics of Python programming.

 

This data visualization course will enable you to:

• Create interactive widgets
• Work with the Pandas Data Frames
• Understand the time-series data and plot it
• Deployment of apps over live servers
• Create dynamic graphs
• Troubleshoot existing Bokeh apps

 

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Affiliated with Harvard University, this data visualization course will teach you how to apply basic data visualization principles using ggplot2. Moreover, this course is a part of the Professional Certificate Program In Data Science. You would be performing exploratory data analysis, start working on simple data sets, and gradually transition to world health, economics, and disease trends in the USA. And you cannot say that you are through with the course before they teach you how to handle errors.

 

After going through this data visualization online course, you can:

• Use ggplot2 to create custom plots
• Communicate data-driven findings
• Get a grasp of the core data visualization principles
• Understand the weakness of popular plots
• Avoid weak plots

 

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You can always trust Udacity to come up with a good offering when it comes to technical courses. And their offerings are quite extensive and it should not come as a surprise that they have a nanodegree program on data visualization as well.

 

This data visualization online course aims at teaching you in-depth skills on how to combine data, narratives, and other visuals to make data-driven decisions and narrate impactful stories. Building data visualizations and dashboards is the first thing you’ll start from and then move towards storytelling techniques, drafting presentations, and creating animations and visualizations for providing data-driven recommendations. Some of the prerequisites of this course include necessary skills in descriptive statistics like measures of center, spread, and distribution of data. With a 10 hours weekly effort, it will take 4 months to complete this data visualization course.

 

The critical areas tackled in this data visualization certificate program include:

• Intro to data visualization
• Dashboard designs
• Data storytelling
• Advanced data storytelling

 

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The main goal of this data visualization online course is to teach you graphical data representation through Python, Matplotlib, and Seaborn. Since Matplotlib is mainly a graphical tool in Python, therefore, you’d be creating various professional graphs through the Seaborn add-on and choose appropriate color schemes to represent data. The course, however, requires you to have some basic understanding of Python calls, loops, functions, and objects.

 

By the end of this data visualization training course you’ll have:

• Portfolio projects to showcase your skills
• Visualization of different data sources
• Confidence in your abilities with Matplotlib and Seaborn

 

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This beginner+intermediate level course trains you on the indispensable data analytics and visualization tool i.e., Tableau. Using Tableau Desktop 2019, you’ll be able to make better data-driven decisions for any company. Right from the installation of Tableau, the connection of data sources to sorting, filtration of data, this course covers it all. Various charts, maps, tables, graphs, and histograms will become your new friends.

 

Once done with this data visualization course, you’ll be able to:

• Manage Tableau worksheets and workbooks
• Create basic visualizations
• Develop and pivot crosstabs
• Annotate and format visualizations
• Map geographic data
• Build dashboards and actions

 

12. Python for Data Visualization (LinkedIn)

 

Python for Data Visualization is an intermediate level course that would teach you how to build the correct, easy to read charts that are engaging at the same time. Further, you’ll be exploring the Matplotlib and Pandas library, load and clean data sets, and create heatmaps, histograms, and subplots. It is created by Madecraft, a full service learning content company based out of California.

 

This data visualization online course covers in-depth the following topics:

• Data visualization tools
• Pandas
• Matplotlib wrappers like seaborn
• Advanced plotting

 

13. Big Data: Data Visualisation By Queensland University of Technology (Future Learn)

 

You would be getting a lot of informative introduction to various tools, methods, and processes involved in data visualization. Perhaps this is the first course on the list of the best data visualization online courses, which would be using prehistoric data dating as far back as 17000BC to teach about data visualization. The course, however, requires you to have access to a few software, namely, Tableau, MATLAB Online, and D3.js.

 

At the end of this data visualization course you’d be able to:

• Analyze big data frameworks
• Show an integrated approach to massive data
• Learn how to work with prominent data experts

 

14. How to Process, Analyze and Visualize Data (MITOpenCourseware)

 

It is an introductory course to data analysis, cleaning, and visualization. You will be taught the basics of data analysis through relevant examples. Also, you would be learning how to work with raw data, clean it, form meaningful information, and visualize the same through statistical tools. The course does require you to have some working knowledge of Python and sound basics in statistics.

 

This seven-day data visualization course will teach you to:

• Understand datasets
• Plot campaign contributions
• T-tests, linear regression, and statistical significance
• Text processing
• Using Hadoop/MapReduce on large datasets

 

Note: It is a FREE resource from MIT OpenCourseware.

 

Sign Up Here

 

You would be getting a lot of informative introduction to various tools, methods, and processes involved in data visualization. Perhaps this is the first course on the list of the best data visualization online courses, which would be using prehistoric data dating as far back as 17000BC to teach about data visualization. The course, however, requires you to have access to a few software, namely, Tableau, MATLAB Online, and D3.js.

 

At the end of this data visualization course you’d be able to:

• Analyze big data frameworks
• Show an integrated approach to massive data
• Learn how to work with prominent data experts

 

Sign Up Here

 

It is an introductory course to data analysis, cleaning, and visualization. You will be taught the basics of data analysis through relevant examples. Also, you would be learning how to work with raw data, clean it, form meaningful information, and visualize the same through statistical tools. The course does require you to have some working knowledge of Python and sound basics in statistics.

 

This seven-day data visualization course will teach you to:

• Understand datasets
• Plot campaign contributions
• T-tests, linear regression, and statistical significance
• Text processing
• Using Hadoop/MapReduce on large datasets

 

Note: It is a FREE resource from MIT OpenCourseware.

 

Sign Up Here

 

Python for Data Visualization is an intermediate level course that would teach you how to build the correct, easy to read charts that are engaging at the same time. Further, you’ll be exploring the Matplotlib and Pandas library, load and clean data sets, and create heatmaps, histograms, and subplots. It is created by Madecraft, a full service learning content company based out of California.

 

This data visualization online course covers in-depth the following topics:

• Data visualization tools
• Pandas
• Matplotlib wrappers like seaborn
• Advanced plotting

 

Sign Up Here