10 Best Free Tableau Training & Courses

In the data science community, Tableau is one of the most common and trending visualization tools. It is well-known for making data more accessible with its inherent visual capabilities. It not only provides quick visualizations of data in the form of worksheets and dashboards, but it is also well-known for making data more accessible with its inherent visual capabilities. 

What would we do if we didn’t have data? What would be the best way to organize the world? What strategies will businesses use to prepare for the future? Organizations and companies, like drivers, need a map to travel from one location to another. Data, on the other hand, is a minefield. Consider learning about Tableau if you want to work in business intelligence or other data-related roles in these industries. Tableau, unlike many other data visualization software, is interactive and user-friendly. Of course, there is a learning curve, but the learning curve pays off quickly. That is why data visualization software such as Tableau has become so popular. In this article, we’ll go over the 10 Best Online Tableau Courses. 

List of Best Free Tableau Training & Courses

1.Data Visualization with Tableau Specialization (Coursera)

This Specialization, made in collaboration with Tableau, is designed for people who are new to data visualization and have never used Tableau before. To show best practices for data visualization and data storytelling, we use Tableau’s library of tools. You’ll see examples from real-world business situations as well as investigative examples from major news organizations.

You’ll be able to create powerful reports and dashboards based on your business data by the end of this specialization. To help you see and understand your data, you’ll use Tableau to create high-impact visualizations of popular data analyses. You’ll use predictive analytics to help you make better business decisions. The Specialization concludes with a Capstone Project in which you can use sample data to construct visualizations, dashboards, and data templates to prepare a presentation for a fictitious company’s executive leadership.

What to learn-

  • Examine, navigate, and learn to use the various features of Tableau
  • Assess the quality of the data and perform exploratory analysis
  • Create and design visualizations and dashboards for your intended audience
  • Combine the data and follow the best practices to present your story

Skills-

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

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration: 22 weeks, 5 hours per week

Instructor: Desiree’ Abbott, Hunter Whitney, Govind Acharya, Suk S. Brar

2.Data Visualization and Communication with Tableau (Coursera)

In this course, you’ll learn how to communicate the business consequences of data analyses like an expert. By the end, you’ll understand how to plan your data analysis projects so that your hard work pays off for your stakeholders. You’ll also learn how to use visualizations in Tableau, the most common visualization software in the business world, to streamline your analyses and illustrate their implications. You can create powerful visualizations that leverage the human brain’s natural perceptual and cognitive tendencies to convey conclusions explicitly and several using other Tableau features. Finally, you’ll gain experience creating and presenting company “data tales” that incorporate these visualizations, using tried-and-true approaches and design concepts.

What to learn-

  • Communicating business-relevant implications of data analyses
  • Examine, navigate, and learn to use the various features of Tableau
  • Assess the quality of the data and perform exploratory analysis
  • Create and design visualizations and dashboards for your intended audience

Skills-

  • Data Analysis
  • Tableau Software
  • Data Visualization (DataViz)
  • Visualization (Computer Graphics)

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration: 25 hours

Instructor: Daniel Egger, Jana Schaich Borg

3.Tableau Training Videos (Tableau)

There may not be a better Tableau class than the one available on the Tableau website. Their courses are jam-packed with helpful hints, tricks, and tools for learning about the issue and troubleshooting common errors and issues. Hundreds of videos are available on the Tableau website, covering everything from getting started with the software to visual analytics, dashboards, and stories.

The only drawback to Tableau’s online services is that they are limited to photographs. Any of the other courses on this list offer a more dynamic learning experience. Even so, it doesn’t get any better than the original. These courses will help you learn at a faster pace and prepare you to become a Tableau expert.

What to learn-

  • Communicating business-relevant implications of data analyses
  • Examine, navigate, and learn to use the various features of Tableau
  • Assess the quality of the data and perform exploratory analysis
  • Create and design visualizations and dashboards for your intended audience
  • Combine the data and follow the best practices to present your story

Skills-

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

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  4 weeks

4.Tableau Essential Training (Linkedin Learning)

Tableau is a popular data analytics and visualization tool that many consider essential for data science projects. Its drag-and-drop interface allows sorting, comparing, and analyzing data from a variety of sources, including Excel, SQL Server, and cloud-based data repositories, a breeze. Learn everything you need to know about analyzing and displaying data with Tableau 2020 in this course, so you can make smarter, more data-driven decisions for your business. Learn how to use Tableau, how to link to data sources, and how to sort and filter data. You will also understand how to build manipulate data visualizations, such as highlight tables, charts, scatter plots, histograms, maps, and dashboards, as well as how to share them. Along the way, he points out some of the latest features in this version of the app, such as Viz Animations, which allows you to visually track the movement of marks in data visualization to see and understand evolving data.

What to learn-

  • Explain where a user would navigate to seek specific help in Tableau.
  • Determine the best approach for using Excel in Tableau.
  • Interpret how to use the features and functions of Tableau when creating charts.
  • Describe how best to manage data in a worksheet or visualization.
  • Explain how to create a selection filter for certain values.
  • Explain how to manage data for different chart formats.

Skills-

  • Tableau
  • Data Analytics
  • Data Visualization

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  5 hours

Instructor: Curt Frye

5. Creating Interactive Tableau Dashboard(Linkedin Learning)

Learn how to use Tableau, an interactive data visualization program, to create persuasive, insightful, and eye-catching dashboards. This course will show you how to view the related data you’ve analyzed on presentable dashboards. Before designing each dashboard, a data analytics expert suggests thinking about four key questions: who is the dashboard for, what do they need to know, where will the dashboard be displayed, and why is the information relevant. Then through the steps of creating a dashboard, including how to design a good interface, add maps, mark objects, color elements, filter the data displayed, and add interactive features. Finally, how to make data more engaging by using storytelling and narration.

What to learn-

  • Explain the core principles of dashboard design.
  • Identify how to construct a dashboard using simple structural elements.
  • Summarize how to extend dashboard functionality using dynamic components.
  • Recall how to extend dashboard appeal using visual elements.
  • Identify how to integrate interactive dashboard features.
  • Summarize how to create a data narrative using stories.
  • Recall how to create various dashboard types based on specific goals

Skills-

  • Tableau
  • Performance Dashboards
  • Data Visualization

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  4 hours

Instructor: Matt Francis

6.Tableau Training (MindMajix)

Visualization converts data into a graphical format that helps organizations in making decisions. Tableau has grown to be a major player in the data visualization industry, with a wide range of users. It makes data analysis fast, easy, beautiful, and useful. Tableau’s compelling features and user-friendly approach have made it the preferred data visualization tool in several businesses around the world. Our Tableau training includes anything from basic analytics to advanced data visualizations. Real-world use-case examples, classrooms, and exercises are incorporated. Data Blending, Data Mapping, Graphs, Chart Design, and LOD Expression are just a few of the topics covered using different versions of Tableau, such as Tableau Desktop, Tableau Reader, and Tableau Public.

What to learn-

  • Introduction to data visualization and establish connections with the data.  
  • Perform data granularity on aggregated data, and manage extracts and metadata. 
  • Perform sorting, grouping, and filtering on the data sets.     
  • You will be introduced to multiple graph types and their usage in Tableau.         
  • Use various lines such as trend lines, reference lines, and statistical methods to describe data.   
  • Creating dashboards using different layouts and stories. 
  • Introduction to advance charts such as Waterfall charts, Gantt charts, Funnel Charts, Control Charts, and Whiskers plot. 
  • The integration process of Tableau with R and Hadoop and make them into interactive dashboards to publish on the web.  

Skills-

  • Tableau
  • Performance Dashboards
  • Data Visualization
  • Data Analysis
  • Data Visualization (DataViz)
  • Tableau Software
  • Visual Analytics

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  4 weeks

7.Data Visualization Tableau (Udacity)

Learn communicating with data when learning the basics of data visualization. This course will teach you how to use design concepts, human perception, color theory, and data storytelling to tell a compelling tale. This course will help you improve your skills whether you present data to others, aspire to be a market analyst or data scientist, or want to become more successful with visualization software.

What to learn-

  • Data Visualization Fundamentals
  • Design Principle
  • Creating Visualizations with Tableau
  • Telling stories with Tableau

Skills-

  • Tableau
  • Performance Dashboards
  • Data Visualization

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  3 weeks

Instructor: Mat Leonard

8. Introduction to Tableau(Datacamp)

Tableau is a widely used business intelligence (BI) and analytics program that is used by companies such as Amazon, Experian, and Unilever to explore, visualize, and securely share data through Workbooks and Dashboards. Everyone can use it because of its user-friendly drag-and-drop interface to easily clean, evaluate, and visualize your team’s data. You’ll learn how to use Tableau’s interface, as well as how to link and present data using simple visualizations. You’ll have the skills you need to confidently explore Tableau and build impactful data dashboards by the end of this training. Let’s get started.

What to learn-

  • Data Visualization Fundamentals
  • Design Principle
  • Creating Visualizations with Tableau
  • Telling stories with Tableau
  • Create compelling visualizations.

Skills-

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

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  6 hours

Instructor: Hadrien Lacroix, David Venturi, Sara Billen, Lis Sulmont

9.Data Analytics for Business with Tableau Training (Future Learn)

This micro-credential was developed in partnership with Tableau for professionals who want to learn key statistical concepts and techniques while also using the data analytics tools that are critical to modern data analysis.

You’ll learn to manage and analyze complex data sets with Excel and SQL, as well as make business recommendations using analytical modeling, moving from diagnostic to predictive models.

What to learn-

  • Apply fundamental data analytics techniques, using spreadsheet and database tools, to prepare, interpret and communicate insights about datasets
  • Evidence the capability to prepare data to synthesize complex ideas to support an organization’s ability to abstract meaning and make data-driven decisions
  • Critically evaluate strategic priorities to support the implementation of dashboards and increase the level of data-driven decision making in an organization
  • Perform diagnostic analysis and create and interpret prescriptive models to influence future organizational requirements
  • Recognize and address the ethical and social issues of applying data analytics techniques in specific organizational contexts

Skills-

  • Analytical reasoning
  • Excel/Spreadsheets
  • SQL
  • Tableau
  • Data ethics
  • Data wrangling
  • Data visualization
  • Communicating data
  • Dashboard design
  • Forecasting and models
  • Exploratory data analysis
  • Descriptive statistics

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  12 weeks

Instructor: Alastair Gill, ED Marks, Jacques Haasbroek

10.Tableau 2020 A-Z: Hands-On Tableau Training For Data Science (Udemy)

In this course, you will learn how to use Tableau’s features to easily, rapidly, and beautifully explore, experiment with, repair, plan, and present data. This course starts with the fundamentals of Tableau. Also, total beginners would have no trouble navigating the program, connecting it to a data file, and exporting a worksheet. How to work with data extracts and time series to identify patterns in your data and make reliable forecasts.

You’ll also learn how to use aggregations to summarise data to make it easier to understand. You’ll also use granularity to ensure that your measurements are correct. How to build different charts, maps, scatterplots, and interactive dashboards for each of your projects to start visualizing data.

What to learn-

  • Install Tableau Desktop 2020
  • Connect Tableau to various Datasets: Excel and CSV files
  • Create Barcharts, Area Charts, Maps, Scatterplots, Pie Charts, Treemaps, Interactive Dashboards, Storylines
  • Understand Types of Joins and how they work
  • Work with Data Blending in Tableau
  • Create Table Calculations
  • Work with Parameters
  • Create Dual Axis Charts, Calculated Fields, Calculated Fields in a Blend
  • Export Results from Tableau into Powerpoint, Word, and other software
  • Work with Time Series Data (two methods)
  • Creating Data Extracts in Tableau
  • Understand Aggregation, Granularity, and Level of Detail
  • Adding Filters and Quick Filters
  • Create Data Hierarchies

Skills-

  • Tableau
  • Performance Dashboards
  • Data Visualization
  • Visual Analytics
  • Data Extracts

Pre-requirements-No prerequisites are needed.

Who can take this course-This course is open to anyone who wants to learn more and make better use of their time.

Duration:  9 hours

Instructor:  Kirill Eremenko, Agency Team

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