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In Career Last updated: July 7, 2023
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Are you looking forward to learning Tableau? We review some of the best courses to take you from a beginner in Tableau to a master level in a month or less.

We are living in a world where most decisions are data-driven. For instance, sales and marketing departments must check market data to determine the best penetration strategies.

On the other hand, finance and accounting departments also use such data when preparing budgets and financial projections. 

However, modern businesses are looking for data-backed insights without going into the complexities of data analysis. 

Tableau is a tool that helps users visualize data. 

Data visualization refers to the process of presenting data in visual formats such as charts, diagrams, pictures, or other visual elements. Data visualization helps users understand the insights, patterns, and trends to aid in better decision-making. 


Tableau has the following products:

  • Tableau Cloud- a cloud solution that enables self-service. 
  • Tableau Server- allows users to share data across the organization. 
  • Tableau Desktop-  a secure desktop environment that allows users to access, visualize and analyze data in a self-service. 
  • Tableau Data Management- Enables data automation and operationalization. 
  • Tableau Prep Builder- makes it easy to combine, shape and clean data. 

What are some of the use cases of Tableau?

  • Data mining. Tableau uses AI-powered tools like predictive modeling and machine learning to enable users to make sense of big data sets.
  • Data collection and preparation. This tool collects data from different sources such as databases, the cloud, or even spreadsheets and compiles it for analysis. 
  • Data exploration. Tableau uses transparent AI in its suite of tools, making it easy for users to understand how insights and predictions arrive. 
  • Data visualization. The analyzed data is presented in various visual formats such as charts, diagrams, histograms, and so much more. 
  • Performance tracking. Tableau stores historical data. Such data can be compared to current data and used to track identity patterns, track and improve performance.

Features of Tableau

  • Interactive dashboards. With Tableau, you get data in an easy-to-understand format. You can use out-of-the-box customizations or point-and-click tools to create these interactive dashboards. 
  • Deep insights. Tableau uses a combination of machine learning, statistics, smart data and natural language to present deep insights. 
  • Scalable. This tool can handle different types of datasets from different sources. 
  • Real-time collaboration. Different people in the organization can access reports generated by this tool. Tableau integrates with Slack, creating a digital hub where team members can use and use the data. 
  • Secure data sharing. Ensuring that sensitive data does not leak to third parties is a serious concern. Tableau has various policies that ensure that data is shared in a regulated environment. 
  • Data access on the go. You can access Tableau data from different devices, such as smartphones, PCs, and tablets. Users can edit and share data from different devices as well. 

How Tableau works 

  • Tableau extracts data from sources such as Excel, PDF, Oracle, Amazon Web Services, text documents, or even Python.
  • Data gets on the Tableau Desktop, its data engine, which the business analyst works on, generates a dashboard, and develops visualizations. 
  • The dashboards are shared with users as static files. Users utilize Tableau Reader to read this data on the screen. 
  • The analyzed data is published with features such as collaboration, distribution, models of security, and automation. 
  • The end-user downloads visualized data files through mobile, desktop, or email. 

If you want to use Tableau in your organization, the following are some awesome resources to get you started.

Tableau Certified Data Analyst

This is a course that features 3 Practice Tests that will make you ready for Data Analyst Certification. The course first takes you through this tool’s basics of data visualization and discovery. 


The course teaches:

  • How to sort, group and filter data
  • How to combine multiple tables using SQL joins, blend, relationships and unions. 
  • How to create visuals such as tables, graphs, charts, histograms, line charts, etc.
  • How to create dynamic dashboards by combining various worksheets. 

The course is delivered through a combination of videos. Pay attention to the practice questions, as going through the content might not be enough to master everything. 

Tableau 2022 A-Z

This course teaches how to use Tableau for data science. The course also features real-life data analytics quizzes and exercises. The course is ideal for beginners and those with some Tableau skills who still want to get better.


You will learn the following;

  • How to create interactive dashboards with visualizations such as maps, bar charts, and piecharts.
  • An introduction to table joins and how they work.
  • How to connect and extra data from various datasets. 
  • How to create Data Extracts in Tableau and export data in various formats. 

At the end of this course, you will be ready to use Tableau to collect, examine, analyze, and present your data. 

Tableau 2022 Advanced

This Tableau course will teach learners to solve real-analytics problems and master Tableau in data science. The course is ideal for those with beginner skills in Tableau but who want to take their knowledge to the next level. 


You will learn the following;

  • Perform data mining in Tableau
  • How to develop and create amazing storylines for presentations. 
  • An introduction to Groups and Sets and their differences. 
  • How to do Quick Table Calculations
  • Creation and use of dynamic data sets. 

The beauty of this course is that every module is independent. It thus means that you can start learning from anywhere you see fit. 

Data Visualization with Tableau

This Coursera course teaches learners how to visualize business data and create insightful intelligence reports. This course features a hands-on project and a shareable certificate at the end. 


You will learn the following;

  • An introduction to various Tableau features. 
  • How to create visualizations based on your target audience.
  • How to present your story following the best practices.
  • How to assess data quality and do exploratory analysis. 

This course is suitable for beginners in data visualization and those who have never used Tableau. The course is self-paced; students learning about 3 hours/ week will take about 6 months to complete. 

Introduction to Tableau

This course teaches how to use Tableau to visualize data, conduct data analyses, and format data following the best practices. You will first learn how to load data and workbooks before moving into complex concepts such as analysis and data presentation.


The course teaches;

  • How to get started with Tableau.
  • How to build and customize visualizations. 
  • The process of visualizing geographic data. 
  • How to present data following the best practices. 

The course takes about 6 hours to complete. There are 23 videos to watch and 66 exercises to gauge your knowledge. 

Tableau Essential Training


This LinkedIn course teaches learners how to apply the power of Tableau to their data. The instructor uses real-world examples to create and manipulate data visualizations. 

This course touches on;

  • How to navigate Tableau.
  • How to extract data from sources such as Excel.
  • How to use Tableau to create charts. 
  • Data management in visualizations and worksheets. 

This course has a shareable certificate you can display on your profile after completion. 

Data Visualization in Tableau

This free course teaches learners how to see and understand their data visually. The course is ideal for learners with no programming knowledge and with interest in data visualization. 


The key focus of this course is;

  • Learn why visualization is important.
  • Get a better understanding of explanatory versus exploratory visualizations.
  • An introduction to data types and how to encode data
  • The design principles of using chart types, shapes, sizes, and colors to get the best out of visualizations. 
  • How to do calculations in Tableau. 
  • Data integrity principles

This course is self-paced, comes with interactive quizzes, and is taught by industry experts. 

Learning Tableau

This book is suitable for anyone who wants to learn the basics of data analytics. This resource also goes deeper with advanced topics such as geospatial analysis and scripting extensions. 

Key areas;

  • How to create stunning visualizations that explain complex data
  • How to create interactive dashboards with actionable user insights
  • How to use data clustering, distribution, and forecasting to make smart decisions. 
  • How to share data stories that inspire

This book is ideal for aspiring data scientists, BI developers, researchers, and data analysts. The book is available in Paperback and Kindle versions. 

Practical Tableau

This book teaches how to create compelling and interactive data visualization applications. 

You will learn;

  • Fundamentals of Tableau and how to get started.
  • Use step-by-step tutorials to create different chart types.
  • Tips and tricks to make your Tableau workbooks run efficiently.
  • Learn how to use the INSIGHT framework and give your visuals more functionalities. 
  • How to use data in storytelling. 

Practical Tableau is available in Kindle and Paperback versions. This resource is suitable for beginners with interest in data visualization. 

Mastering Tableau

This book teaches how to use Tableau to implement advanced business intelligence analytics and techniques. This resource introduces tools such as Tableau Prep Builder, Tableau Hyper, and Tableau Server and their use cases.

You will learn the following;

  • Getting started with Tableau
  • Tableau components
  • How to use Tableau Prep Builder for data preparation
  • Different Tableau dashboard designs and visualization techniques 
  • Geospatial analytics, self-service analytics, and time series analytics

This book is ideal for business analysts, data analysts, and business intelligence professionals who want to learn how to use Tableau. 


Above are some courses that will help you master Tableau and create data visualizations that suit your needs. This YouTube course is also good if you are a fan of pure video content. Ensure that you do exercises and quizzes to gauge the impact of these courses. 

  • Titus Kamunya
    Titus is a Software Engineer and Technical Writer. He develops web apps and writes on SaaS, React, HTML, CSS, JavaScript, Ruby and Ruby on Rails read more
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