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Introduction

Tableau is an analytics platform mainly used for data visualization purposes. Using Tableau enables users to analyze and present data using different tools such as charts, graphs, and dashboards to derive meaningful insights and make business decisions. 

In particular, Tableau is highly used for data visualization and business intelligence tasks and to report and analyze large volumes of data. Besides, Tableau allows to work with both structured and unstructured data types and is easy to learn and implement. Therefore, Tableau has become popular in recent years as it offers various tools and interactive experiences to access, explore, prepare and analyze data without any coding necessities. 

In addition, there are multiple features provided by Tableau, such as extracting data from a specific data source and other databases, automation of specific analytical tasks, sharing dashboards, visualization and worksheets, and more.

Additionally, Tableau has a wide range of offerings from Tableau Desktop, Tableau Online, Tableau Server, Tableau Mobile, and Tableau Public to offer data analytical solutions to users. Tableau also provides enterprise users security, scalability, and governance on the cloud platform. 

With a wide range of features and functionalities, Tableau remains one of the top tools and skills required by data scientists, big data experts, and data analysts in the marketplace. Therefore, aspirants are encouraged to opt for upskilling themselves with Tableau skills to achieve some of the top positions in the industry.

 

Related reading: Top 13 Data Science Online Courses Worth Taking

1. Data Visualization with Tableau Specialization – Coursera

Data Visualization with Tableau Specialization – Coursera UC Davis (University of California) offers this excellent specialization training on Tableau on Coursera. The course is intended for beginners new to the concepts of data visualization. The specialization emphasizes providing hands-on tableau training and leveraging Tableau’s resources to demonstrate some of the best practices for data visualization tasks in the industry today. Further, learners will understand the concepts of data storytelling and work with various real-world business use cases. 

By the end of the program, the learners can expect to master the skills in generating reports, using dashboards for visualization and decision-making, and learning to apply predictive analytics for improving business decisions. There is a capstone project at the end of the program, which is mandatory for Tableau certifications. 

The course curriculum includes:

  • 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

COURSE DETAILS:

Instructor: Desiree’ Abbott

Level: Beginner

Duration: 6 months

User Review: 4.5/5

No. of Reviews: 5850

Price: Free Enrollment (Charges applicable for certification)

2. Data Visualization and Communication with Tableau – Coursera

Data Visualization and Communication with Tableau – Coursera Ideally, this course is part of the Excel to MySQL specialization course offered by Duke University. However, one can enroll in this course separately. This program is available on Coursera. In this Tableau training, the learners will master the skills of communicating data-driven business decisions with the implication of data analysis. 

The learners will learn to streamline their analysis and highlight critical insights using visualization in Tableau. Besides, the learners will explore various Tableau features essential for effective visualization for easier perception and clear conclusions directly. Finally, the learners will also understand data storytelling using visualization techniques. 

The course curriculum includes:

  • Asking the Right Questions
  • Data Visualization with Tableau
  • Dynamic Data Manipulation and Presentation in Tableau
  • Your Communication Toolbox: Visualizations, Logic, and Stories
  • Final Project

COURSE DETAILS:

Instructor: Daniel Egger

Level: Beginner

Duration: 25 hours

User Review: 4.7/5

No. of Reviews: 3068

Price: Free Enrollment (Charges applicable for certification)

3. Master Course in Tableau for Business Intelligence – Udemy

Master Course in Tableau for Business Intelligence – Udemy This Tableau online course has seen some of the highest enrollments available on Udemy. In this tutorial, one can expect to learn data visualization techniques using Tableau and become fluent in communication data insights. However, the program is divided into complete beginner and experienced stages for different learners. 

The apprentice stage introduces the fundamentals of Tableau and provides the basic concepts on how to manipulate data using Tableau. The master stage comprises advanced data visualization skills and allows learners to leverage the data. 

Finally, the final stage mainly focuses on hands-on skill building and provides various case studies and examples to learn how to create a fully-interactive workbook consisting of linked dashboards. 

Advanced dashboard skills are taught in this phase of the program, and learners are expected to put all the skills to the test by developing a project. In addition, multiple bonus lectures aim to provide complementary information on new chart types and other new Tableau features. 

The course contents are:

Stage 1

  • Installing Tableau
  • Building a Bar Chart
  • Adding Color and Filters
  • Adding Tooltips and Formatting
  • Building a Box and Whisker Plot
  • Building a Text and Highlight Table
  • Building Dual Axis Map
  • Scatter Plots and Clustering
  • Connect to New Data
  • Building Tree Map
  • Building Stacked Bar
  • Connect to the Data
  • Time Series and Dual Axis Charts
  • Master Reference Lines
  • Trend and Forecasting
  • Groups and Sets

Stage 2

  • Joining Data and Data Blending
  • Table Calculations and Calculated Fields
  • Table Calculation Functions
  • Gantt Chart
  • Parameters and Global Filters
  • Dynamic Reference Lines

Stage 3

  • Dashboard Formatting
  • Dashboard Design
  • Build View and Cover Page Design
  • Navigating with Actions
  • Adding Highlight Actions
  • Setting up the Filters
  • Review and Publish

Bonus

  • Custom Colors and Shapes
  • Building a Waterfall Chart
  • Word Cloud
  • LOD Expressions

COURSE DETAILS:

Instructor: Jamie Fry

Level: Beginner/Intermediate/Advanced

Duration: 9 hours 15 minutes

User Review: 4.6/5

No. of Reviews: 5335

Price: $46

4. Tableau 20 Advanced Training: Master Tableau in Data Science – Udemy

Tableau 20 Advanced Training- Master Tableau in Data Science – Udemy This is a top trending course on Tableau on Udemy. However, the program is intended for advanced learners. The program offers visualization concepts for data science by solving real-life analytical problems. Additionally, the learners will explore data mining concepts and provide multiple demonstrations and practical examples to help develop advanced Tableau skills.

Some of the key takeaways are:

  • Creating and using Groups
  • Creating and using Static Sets
  • Combining Sets into more Sets
  • Creating Sets using Formulas
  • Controlling Reference Lines with Parameters
  • Creating Highly Interactive Dashboards
  • Using Quick Table Calculations
  • Combining Multiple Layers of Table Calculations
  • Creating Powerful Storyline for Presenting to Stakeholders
  • Difference between Groups and Sets
  • Creating Dynamic Sets
  • Using Filters and Controlling Sets with Parameters
  • Colorful Property
  • Developing an Understanding of Table Calculation
  • Data Mining using Tableau
  • Implementing Advanced Mapping Techniques
  • Creating Animations in Tableau

COURSE DETAILS:

Instructor: Kirill Eremenko and Ligency Team

Level: Advanced

Duration: 9 hours 55 minutes

User Review: 4.6/5

No. of Reviews: 14,465

Price: $46

5. Data Visualization Nanodegree Program – Udacity

Udacity presents this comprehensive program to help learners learn about combining data and providing visuals and narrative to represent an impactful story for data-driven business decisions. However, participants should be aware that there are prerequisites for the program that includes knowledge about descriptive statistics and familiarity with data analysis using spreadsheets. 

In addition, the learners will cover various concepts on building data visualization and dashboards and learn to communicate to the audience effectively. 

Further, the learners will delve into drafting presentations with the help of storytelling techniques, visualization, and animations for representation data insights. The course curriculum includes:

Intro to Data Visualization

The first module focuses on introducing the fundamentals of data visualization and design. The learners will learn to select the most appropriate type of data visualization based on the goals of a particular analysis. 

Besides, the learners will delve into the concepts of Tableau for building interactive and engaging dashboards. The project for this module includes the sharing of insights using interactive dashboards using Tableau for arriving at the best decision outcomes.

Dashboard Design

The learners will deep dive into the process of designing and creating dashboards that is suitable for enterprise requirements. You will learn to discover user needs, identify critical metrics and generate a dashboard ideal for a target audience in an enterprise environment. 

In addition, the learners will learn to include design elements to maximize the potential of these dashboards in representing data insights and iterating depending on user feedback. On the project front, this module comprises two projects. 

The first project focuses on building a dashboard prototype containing sketches and wireframes. The project’s primary purpose is to understand data with the help of exploratory data techniques. Similarly, the second project requires learners to transform the prototype into a final design determined by audience data literacy, domain expertise, business metrics, and user types.

The second project mainly focuses on creating a dashboard that includes appropriate data representation for decision-making with design aspects that pinpoints the areas of interest interactively.

Data Storytelling

The third module will provide the concepts to learn the end-to-end storytelling process with data and enable recommendations based on the data. The learners will explore the ideas of a “ghost deck” to understand a problem statement and its scope and learn to analyze and provide a potential solution. 

Further, the learners will learn to identify the types of data analysis tools used for different visualization and understand the limitations and biases in data. This module also includes two projects.

The first projects provide a case study-like experience where the learners will have to create a data story from a data scientist’s perspective with a problem statement and analysis. The learners will also build a ghost deck for the problem statement and provide a set of recommendations. 

At the same time, the second project extends the previous project. The learners must create a ghost deck and perform different types of analysis to understand the data and find insights. Besides, the learners will also identify the limitations and biases in the data that impact the recommendations.

Advanced-Data Storytelling

The final module focuses on advanced data visualization concepts and storytelling techniques. First, the learners will explore different types of data stores and learn to find and use them appropriately. 

Next, the learners will learn to implement Tableau Storypoint to provide interactivity and additional visual elements to the data story. Besides, the learners will explore the concepts of adding animations and narration to the analysis using Tableau Pages and Flourish. However, the module comprises two regular projects and a Capstone project at the end of the course. 

The primary projects require learners to create interactive data presentations with different dimensions and identify trends and patterns from the dataset. In addition, the learners are required to incorporate charts, graphs, maps, dashboards, and story types in Tableau software.

Finally, the learners must create an animated data story to extend the previous project and learn to include an audio track to create narrations for the finished product. However, the capstone project is mandatory for achieving the course completion certificate.

COURSE DETAILS:

Instructor: Matt Leonard, Josh Bernhard, Robert Crocker, Malavica Sridhar, Ben Jones

Level: Intermediate/Advanced

Duration: 4 months

User Review: 4.6/5

No. of Reviews: 196

Price: $299/monthly, $1018 for 4-month access

6. Tableau Certification Training Course – Edureka

Edureka is another popular platform that offers this training course on Tableau. In this program, the learners will gain in-depth knowledge of Tableau and different offerings and features such as Tableau Prep builder, Tableau Desktop, Charts, LOD expression, and Tableau Online. 

With this training, the learners can be assured of mastering their hands-on skills and learning to complete business intelligence tasks with the help of different tools, data visualization techniques, and reporting. 

In addition, the learners will be exposed to real-life industry use cases of other domains throughout the course. Besides, the contents in the study help to prepare for an industry-recognized exam on Tableau Desktop, Analyst, and Server Certification. 

The course curriculum offers:

Data Preparation using Tableau Prep

  • Data Visualization
  • Business Intelligence tools
  • Introduction to Tableau
  • Tableau Architecture
  • Tableau Server Architecture
  • VizQL
  • Introduction to Tableau Prep
  • Tableau Prep Builder User Interface
  • Data Preparation techniques using Tableau Prep Builder tool

Data Connection with Tableau Desktop

  • Features of Tableau Desktop
  • Connect to data from File and Database
  • Types of Connections
  • Joins and Unions
  • Data Blending
  • Tableau Desktop User Interface
  • Basic project: Create a workbook and publish it on Tableau Online

Basic Visual Analytics

  • Visual Analytics
  • Basic Charts: Bar Chart, Line Chart, and Pie Chart
  • Hierarchies
  • Data Granularity
  • Highlighting
  • Sorting
  • Filtering
  • Grouping
  • Sets

Calculations in Tableau

  • Types of Calculations
  • Built-in Functions (Number, String, Date, Logical, and Aggregate)
  • Operators and Syntax Conventions
  • Table Calculations
  • Level of Detail (LOD) Calculations
  • Using R within Tableau for Calculations

Advanced Visual Analytics

  • Parameters
  • Tooltips
  • Trend lines
  • Reference lines
  • Forecasting
  • Clustering

LOD Expressions in Tableau

  • Use Case I – Count Customer by Order
  • Use Case II – Profit per Business Day
  • Use Case III – Comparative Sales
  • Use Case IV – Profit Vs. Target
  • Use Case V – Finding the second order date
  • Use Case VI – Cohort Analysis

Geographic Visualization in Tableau

  • Introduction to Geographic Visualizations
  • Manually assigning Geographical Locations
  • Types of Maps
  • Spatial Files
  • Custom Geocoding
  • Polygon Maps
  • Web Map Services
  • Background Images

Advanced Charts in Tableau

  • Box and Whisker’s Plot
  • Bullet Chart
  • Bar in Bar Chart
  • Gantt Chart
  • Waterfall Chart
  • Pareto Chart
  • Control Chart
  • Funnel Chart
  • Bump Chart
  • Step and Jump Lines
  • Word Cloud
  • Donut Chart

Dashboards and Stories

  • Introduction to Dashboards
  • The Dashboard Interface
  • Dashboard Objects
  • Building a Dashboard
  • Dashboard Layouts and Formatting
  • Interactive Dashboards with actions
  • Designing Dashboards for devices
  • Story Points

Get Industry Ready

  • Tableau Tips and Tricks
  • Choosing the right type of Chart
  • Format Style
  • Data Visualization best practices
  • Prepare for Tableau Interview

Exploring Tableau Online

  • Publishing Workbooks to Tableau Online
  • Interacting with Content on Tableau Online
  • Data Management through Tableau Catalog
  • AI-Powered features in Tableau Online (Ask Data and Explain Data)
  • Understand Scheduling
  • Managing Permissions on Tableau Online
  • Data Security with Filters in Tableau Online

Final Project

 

COURSE DETAILS:

Instructor: Industry Professionals

Level: Intermediate

Duration: 6 weeks

User Review: 5/5

No. of Reviews: 40,000

Price: $288.3

7. Data Representation and Visualization in Tableau – edX

Data Representation and Visualization in Tableau – edX This is an excellent program available on edX. The course is offered by the Rochester Institute of Technology and is taught by the faculty member of the institution. The learners will learn to use Tableau to explore data and discover insights into the program. 

The course provides the fundamentals and builds the skills to get started with the Tableau visualization tool. In addition, the learners will gain sufficient exposure to hands-on skills to learn how to represent data using data visualization techniques.

Further, the learners will learn to implement various visual elements for graphical representation using data sources to communicate the findings. Multiple examples and case studies are provided to gain comprehensive knowledge about data representation. 

Finally, the learners will learn to assess accuracy, identify misrepresentations, and evaluate decisions and solutions based on the data visualization. Besides, the learners will explore different drag and drop functionalities offered by Tableau to help create an adequate representation to visualize data. The takeaways from the course include:

  • Ability to identify critical points from data and integrate them with other vital information.
  • Using Tableau to create meaningful tables and graphical representations to organize and present data visually.
  • Crucial assessment of graphical representations and their accuracy and misrepresentations of data.
  • Evaluating business decisions and solutions based on data.

COURSE DETAILS:

Instructor: Beth Prince-Bradbury

Level: Intermediate

Duration: 4 weeks

User Review: NA

No. of Reviews: NA

Price: Free Enrollment (Charges applicable for certification)

8. Use Tableau for Your Data Science Workflow Specialization – Coursera

Use Tableau for Your Data Science Workflow Specialization – Coursera This reasonably new program on Tableau specialization is offered on Coursera by the University of California Irvine (UCI). In this Tableau training, the learners will learn to implement basic visualization techniques and master the design strategies to pinpoint critical points in the data through visual storytelling. At first, the program offers the foundations of visualization in the context of data science. 

Next, the concepts of visual analytics and interactivity are covered in depth. In addition, the learners will explore the concepts of extracting structure from historical data and present these critical points with the help of storytelling techniques. 

Other essential topics include data manipulation, audience identification, ethical considerations, and dashboard creation and reporting. Besides, there are several demonstrations for different visualization techniques using Tableau, and a final hands-on project is mandatory for the successful completion of the course. The course curriculum includes:

Data Visualization Best Practices

The first module focuses on visualization basics and learning how these concepts fit into the data science workflow. Besides the main concepts, learners will learn about the purpose of visualization and the fundamental design principles for creating compelling and interactive visualization to provide easy-to-communicate results. 

The learners will also learn to set up the Tableau environment, understand the data loading process and perform univariate descriptive analysis on a dataset.

Data Storytelling

The second module covers some complex concepts, such as learning to work beyond simple datasets. The learners will explore different connections between visual elements for understanding data and examine how they can be implemented for data storytelling. 

Finally, the learners will understand how to avoid complex visualization and data misrepresentations. The hands-on assignments continue in this module and extend beyond the descriptive analysis.

Dashboarding and Deployment

The final module introduces the concepts on various parts of analytical dashboards and the best practices of designing a dashboard. The learners will explore the concepts of creating a unified analytical environment and learning to deploy and publish visualization. Furthermore, the learners will cover advanced visualization techniques that help develop an information layout to know how to compare economic data movements as part of the capstone project.

COURSE DETAILS:

Instructor: Julie Pai

Level: Beginner

Duration: 3 months

User Review: 4.7/5

No. of Reviews: 7

Price: Free Enrollment (Charges applicable for certification)

Conclusion

Data representation and persuading stakeholders have become top skills in the industry. Communication and representing data are critical in the industry today for informed data-driven decisions. 

Besides, in an ever-evolving industry, data scientists or data analysts are expected to have added dimension to their skillset and have the ability to present the data insights effectively. In addition, learning to represent and visualize data according to the data literacy of the stakeholders with the help of visual stories has become a necessity. According to Payscale.com, a data scientist with Tableau software skills earns an average of $86,016, and the most experienced professionals are offered $130,000, respectively. 

These statistics highlight the importance of the Tableau skillset. Besides, LinkedIn has highlighted business analytics with persuasion and visualization skills to be one of the most in-demand skills in the industry. Therefore, aspirants and other professionals aiming to switch to data analytics and data science must be well-equipped with Tableau skills to be offered some of the most lucrative job opportunities in the industry.

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Kaushik Das

Kaushik is an artificial intelligence researcher and a data scientist with expertise in medical image processing, intelligent automation, computer vision, and big data engineering—a technical and a scientific writer by passion. He is also passionate about sports, photography, traveling, and exploring new technologies.

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