The 10 best courses to learn Tableau in a month.
Contents
- What are some of the Tableau use cases?
- Tableau Features
- How Tableau works
- Tableau Certified Data Analyst
- Tableau 2022 AZ
- Tableau 2022 Advanced
- Data visualization with Tableau
- Introduction to Tableau
- Tableau Essentials Training
- Data visualization in Tableau
- learning tableau
- practical box
- dominate the board
- Conclution
Do you want to learn Tableau? We review some of the best courses to take you from a Tableau beginner to a master level in a month or less.
We live in a world where most decisions are based on data. For example, 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 seek data-backed insights without delving 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 graphs, diagrams, images, or other visual elements. Data visualization helps users understand insights, patterns, and trends to help make better decisions.

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, view, and analyze data in a self-service manner.
- Tableau Data Stewardship – Enables data automation and operationalization.
- Tableau Prep Builder – Makes it easy to combine, shape, and clean data.
What are some of the Tableau use cases?
- Data processing. Tableau uses AI-powered tools like predictive modeling and machine learning to enable users to make sense of large 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 toolset, making it easy for users to understand how insights and predictions are coming.
- Data visualization. The analyzed data is presented in various visual formats, such as graphs, diagrams, histograms, and much more.
- Performance tracking. Tableau stores historical data. Such data can be compared with current data and can be used to track identity patterns, tracking and improve performance.
Tableau Features
- 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, intelligent data, and natural language to present detailed information.
- scalable. This tool can handle different types of data sets from different sources.
- Collaboration in real time. Different people in the organization can access the reports generated by this tool. Tableau integrates with Slack, creating a digital hub where team members can use and use data.
- Secure data exchange. Ensuring that sensitive data is not leaked to third parties is a serious concern. Tableau has several policies that ensure data is shared in a regulated environment.
- Access to data on the go. You can access Tableau data from a variety of devices, including smartphones, PCs, and tablets. Users can also edit and share data from different devices.
How Tableau works
- Tableau pulls data from sources like Excel, PDF, Oracle, Amazon Web Services, text documents, or even Python.
- The data feeds into Tableau Desktop, its data engine, where the business analyst works, builds a dashboard, and develops visualizations.
- Dashboards are shared with users as static files. Users use Tableau Reader to read this data on the screen.
- Analyzed data is published with features such as collaboration, distribution, security models, and automation.
- The end user downloads visualized data files via mobile devices, desktop computers, or email.
If you want to use Tableau in your organization, here are some great resources to get you started.

Tableau Certified Data Analyst
This is a course that features 3 practice tests that will prepare you for data analyst certification. The course first takes you through the basics of data discovery and visualization of this tool.
The course teaches:
- How to sort, group, and filter data
- How to join multiple tables using SQL joins, merges, relationships, and joins.
- How to create visual elements such as tables, graphs, diagrams, histograms, line graphs, etc.
- How to create dynamic dashboards by combining multiple worksheets.
The course is delivered through a combination of videos. Pay attention to the practice questions, as going over the content may not be enough to master everything.

Tableau 2022 AZ
This course teaches how to use Tableau for data science. The course also features real-world data analysis tests and exercises. The course is ideal for beginners and those with some Tableau skills who still want to improve.
You will learn the following;
- How to create interactive dashboards with visualizations such as maps, bar charts, and pie charts.
- An introduction to table joins and how they work.
- How to connect and additional data from various data sets.
- How to create data extracts in Tableau and export data in various formats.
By the end of this course, you’ll be ready to use Tableau to collect, examine, analyze, and present your data.

Tableau 2022 Advanced
This Tableau course will teach students to solve real analytics problems and master Tableau in data science. The course is ideal for those who are new to Tableau but 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 stories 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 each module is self-contained. So it means that you can start learning from anywhere you see fit.
Data visualization with Tableau
This Coursera course teaches students how to visualize business data and create insightful intelligence reports. This course features a hands-on project and a certificate to share 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 best practices.
- How to assess data quality and do an exploratory analysis.
This course is suitable for beginners in data visualization and for those who have never used Tableau before. The course is at your own pace; students learning about 3 hours a week will take about 6 months to complete.
Introduction to Tableau
This course teaches how to use Tableau to visualize data, perform data analysis, and format data following best practices. You’ll first learn how to load data and workbooks before moving on to complex concepts like data analysis and presentation.

The course teaches;
- How to get started with Tableau.
- How to create and customize visualizations.
- The process of visualizing geographic data.
- How to present the data following best practices.
The course takes about 6 hours to complete. There are 23 videos to watch and 66 exercises to test your knowledge.
Tableau Essentials Training
This LinkedIn course teaches students 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;
- How to navigate in Tableau.
- How to extract data from sources like Excel.
- How to use Tableau to create graphs.
- Data management in visualizations and worksheets.
This course has a shareable certificate that you can display on your profile after completion.
Data visualization in Tableau
This free course teaches students how to see and understand their data visually. The course is ideal for students with no programming knowledge and an interest in data visualization.
The key focus of this course is;
- Learn why visualization is important.
- Gain a better understanding of explanatory vs. 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 analysis. This resource also delves into advanced topics like 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 the grouping, distribution and forecasting of data to make intelligent 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 box
This book teaches how to create compelling and interactive data visualization applications.

You’ll learn;
- Tableau basics and how to get started.
- Use step-by-step tutorials to create different types of charts.
- Tips and tricks to keep your Tableau workbooks running efficiently.
- Learn how to use the INSIGHT framework and give your images more functionality.
- How to use data in storytelling.
Handy Tableau is available in Kindle and paperback versions. This resource is suitable for beginners interested in data visualization.
dominate the board
This book teaches how to use Tableau to implement advanced business intelligence techniques and analysis. This resource introduces tools like Tableau Prep Builder, Tableau Hyper, and Tableau Server and their use cases.
You will learn the following;
- Getting started with Tableau
- board components
- How to use Tableau Prep Builder for data preparation
- Various Tableau dashboard layouts and visualization techniques
- Geospatial analysis, self-service analysis and time series analysis
This book is ideal for business analysts, data analysts, and business intelligence professionals who want to learn Tableau.
Conclution
Above are some courses to help you master Tableau and create data visualizations to suit your needs. This YouTube course is also good if you are a fan of pure video content. Be sure to do exercises and quizzes to gauge the impact of these courses.