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Visual Analytics with Tableau

4.6 Filled star Filled star Filled star Filled star Half star
Based on 1,830 ratings
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Suk S. Brar, M.B.A.

In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.

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What's inside

Syllabus

Getting Started and Charting
In this module, you will explore the topic of charting in Tableau. By now you should already be well versed in how to change colors, shapes, and sizes of charts, so we are going to practice and demonstrate that skill more. You will be able to explain what the Tableau Tooltip does and when to use it. You will be able to discuss the various guidelines for choosing the right chart for your data. You will also create a chart using Tableau.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Delves into the technicalities of Tableau, such as charting, table calculations and mapping
Taught by Suk S. Brar, a recognized expert in data analytics and visualization
Strengthens an existing foundation for intermediate learners
Covers a comprehensive range of topics, from basic to advanced
Lacks real-world case studies for contextual learning
Requires some prior knowledge of data analysis and visualization principles

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Reviews summary

Visual analytics with tableau deep dive

According to learners, this course is a highly valuable continuation building upon foundational Tableau skills, offering a deep dive into advanced visual analytics techniques. Students particularly praise the clear explanations and practical exercises that cover charting, dates, table calculations, and mapping. While some find the pacing is moderate and occasionally requires revisiting concepts, the overall consensus is that the material is well-structured and directly applicable to real-world data analysis tasks. The course is seen as essential for anyone serious about mastering Tableau beyond the basics.
Pacing is steady, occasionally requiring review.
"Some sections, especially table calculations, moved quite quickly. I had to pause and rewatch parts of the lectures."
"The course pacing felt generally good, though a bit fast when introducing entirely new concepts like custom maps."
"While the content is great, be prepared to spend extra time practicing the more complex topics if you're new to them."
"I found the depth of coverage good, but sometimes the pace meant I needed to revisit the materials before attempting exercises."
Exercises help solidify understanding.
"The practice exercises provided were well-designed and helped reinforce the concepts covered in the lectures."
"I particularly liked the hands-on labs where I could follow along and apply the techniques myself."
"Completing the assignments was crucial for truly understanding table calculations and parameters."
"The exercises really help bridge the gap between theory and practical application in Tableau."
Concepts are explained clearly and effectively.
"The explanations for complex topics like table calculations and dates were surprisingly clear. I finally feel like I understand them."
"Instructor does a fantastic job of breaking down potentially confusing subjects into understandable chunks."
"I found the way the instructor explains the 'why' behind using certain charts or date types very helpful."
"Complex functions and mapping techniques were explained in a way that made them easy to grasp and apply."
Expands on basic Tableau knowledge effectively.
"This course is a great way to continue building your Tableau skills. It picks up right where the previous courses left off and delves into more complex topics."
"A perfect sequel to the first two courses. It goes deeper into mapping, table calculations, and dates, which are essential for advanced analysis."
"I appreciate how this course assumes you have the basics down and immediately jumps into more advanced features. It felt like a natural progression."
"If you've taken the preceding courses, this one is a must. It solidifies and expands on concepts necessary for serious visual analytics."
Crucial for advanced Tableau users.
"This course is absolutely essential if you want to move beyond basic vizzes in Tableau. It covers core advanced features."
"I consider this a key course in the specialization for anyone aiming for proficiency in Tableau."
"If you're serious about using Tableau for in-depth analysis, this module is indispensable."
"It's not just about learning features, it's about understanding *when* and *why* to use them, which this course teaches well."
Skills learned are directly useful in practice.
"The skills taught here are immediately applicable to my job. The sections on mapping and table calculations are incredibly useful."
"Everything I learned felt practical and something I could use on real-world datasets right away."
"This course provided concrete techniques for creating more impactful visualizations, which is exactly what I needed for my professional work."
"I can now confidently create more sophisticated charts and analyses thanks to the practical focus."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visual Analytics with Tableau with these activities:
Review Basic Data Analysis Concepts
Refresh your understanding of essential data analysis concepts, such as data types, descriptive statistics, and hypothesis testing, to prepare for the course's more advanced topics.
Browse courses on Data Analysis
Show steps
  • Review notes or online resources on basic data analysis concepts.
  • Work through practice problems to reinforce your understanding.
  • Discuss key concepts with a peer or mentor.
Organize and Review Course Materials
Stay organized and prepared by creating a system for storing, reviewing, and accessing course materials, including notes, assignments, and supplemental resources.
Show steps
  • Create a dedicated folder or notebook for course materials.
  • File and name materials consistently for easy retrieval.
  • Review materials regularly to reinforce understanding and identify areas for improvement.
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Enhance your understanding of data visualization principles and techniques by delving into this comprehensive guide, which offers valuable insights and practical tips for creating effective visualizations.
View Visualize This: The FlowingData Guide to Design... on Amazon
Show steps
  • Read the book and take notes on key concepts and techniques.
  • Apply the principles of data visualization to your own projects.
  • Discuss the book's ideas and examples with classmates or colleagues.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Creating Charts and Tables
Create a set of charts and tables for a dataset and share your work with a peer for feedback and discussion.
Show steps
  • Choose a dataset and explore its structure.
  • Design and create charts and tables using Tableau.
  • Analyze the results and draw insights from the data.
  • Share your work with a peer and provide constructive feedback.
Master Table Calculations in Tableau
Enhance your Tableau skills by practicing and mastering table calculations to derive meaningful insights from your data.
Browse courses on Data Manipulation
Show steps
  • Understand the concepts of table calculations and their types.
  • Create and apply basic table calculations to real-world datasets.
  • Explore advanced table calculations, such as running totals and moving averages.
  • Solve data analysis problems using table calculations.
Discover Tableau's Advanced Charting Capabilities
Explore the diverse range of charts offered by Tableau to represent data effectively and engage your audience.
Browse courses on Data Visualization
Show steps
  • Review the Tableau documentation on advanced charts and visualizations.
  • Follow online tutorials and learn how to create specific chart types.
  • Experiment with different chart options and customizations.
  • Apply advanced charting techniques to your own datasets.
Uncover the Power of Tableau Mapping
Expand your Tableau expertise by exploring mapping capabilities to visualize and analyze data with geographic dimensions, enabling you to uncover spatial patterns and insights.
Browse courses on Data Visualization
Show steps
  • Familiarize yourself with different map types and their applications.
  • Learn to create basic maps using Tableau's geocoding capabilities.
  • Explore advanced mapping features, such as heat maps and choropleth maps.
  • Apply mapping techniques to real-world datasets for spatial analysis.
Develop a Tableau Dashboard for Data-Driven Insights
Create an interactive Tableau dashboard that effectively communicates key insights from a given dataset, allowing stakeholders to explore and analyze data in a user-friendly way.
Browse courses on Tableau Dashboard
Show steps
  • Define the purpose and target audience for the dashboard.
  • Identify key metrics, KPIs, and visualizations to be included.
  • Design and develop the dashboard in Tableau.
  • Test and iterate on the dashboard to ensure clarity and usability.
  • Present the dashboard to stakeholders and gather feedback.

Career center

Learners who complete Visual Analytics with Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
The course 'Visual Analytics with Tableau' can be a useful resource to a Data Analyst. The skills and knowledge that this course aims to teach are used daily in this career. Data Analysts facilitate better decision making by deriving meaningful insights from data. This course can help the learner analyze different types of data, create compelling data visualizations, and communicate insights effectively. These skills are essential for a successful Data Analyst.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
Individuals in the Business Intelligence Analyst role leverage data to make informed business decisions. The 'Visual Analytics with Tableau' course can be useful for this career as it can provide relevant skills such as data visualization, data analysis, and business acumen. With these skills, Business Intelligence Analysts can help organizations gain insights from data, identify trends, and make better decisions.
See salaries and explore the career path for Business Intelligence Analyst
Market Researcher
Market Researchers gather and analyze data to understand market trends. The 'Visual Analytics with Tableau' course can be useful in this field. Market Researchers use data visualization tools like Tableau to analyze data and present insights. This course covers data visualization techniques and best practices, which can help Market Researchers effectively communicate their findings and make data-driven recommendations.
See salaries and explore the career path for Market Researcher
Data Scientist
Data Scientists utilize data to extract insights and solve business problems. The 'Visual Analytics with Tableau' course may be useful to individuals in this role. Data Scientists need to be proficient in data analysis, visualization, and communication. This course can help build a foundation in these areas and provide valuable skills for creating impactful data visualizations to communicate insights.
See salaries and explore the career path for Data Scientist
Financial Analyst
The skills and knowledge taught in the 'Visual Analytics with Tableau' course may be useful to Financial Analysts. Financial Analysts use data to make investment recommendations. This course can help them analyze financial data, create visualizations to identify trends, and communicate insights to clients. By leveraging data visualization techniques, Financial Analysts can enhance their ability to make informed decisions and present complex financial information clearly.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use data and analytics to improve organizational efficiency. The 'Visual Analytics with Tableau' course may be useful for this career. Operations Research Analysts use data visualization tools to analyze data and communicate insights. This course can help them create effective data visualizations that clearly communicate complex information, aiding in decision-making and problem-solving.
See salaries and explore the career path for Operations Research Analyst
Management Consultant
Management Consultants provide advice to businesses on how to improve their performance. The 'Visual Analytics with Tableau' course may be useful in this field. Management Consultants often use data visualization tools to analyze data and present insights. This course can help them create visually compelling presentations that effectively communicate their findings and recommendations to clients.
See salaries and explore the career path for Management Consultant
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products or services. The 'Visual Analytics with Tableau' course may be useful in this role. Marketing Managers use data visualization tools to analyze campaign performance and identify areas for improvement. This course can help them create data visualizations that effectively communicate campaign results and support decision-making.
See salaries and explore the career path for Marketing Manager
Product Manager
Product Managers are responsible for the development and launch of new products. The 'Visual Analytics with Tableau' course may be useful in this field. Product Managers use data visualization tools to track product performance and identify areas for improvement. This course can help them create data visualizations that effectively communicate product insights and support data-driven decision-making.
See salaries and explore the career path for Product Manager
Software Engineer
Software Engineers design, develop, and maintain software systems. The 'Visual Analytics with Tableau' course may be useful in this field. Software Engineers often use data visualization tools to analyze data and identify areas for improvement. This course can help them create data visualizations that effectively communicate technical information and support decision-making.
See salaries and explore the career path for Software Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. The 'Visual Analytics with Tableau' course may be useful in this field. Data Engineers use data visualization tools to analyze data and identify areas for improvement. This course can help them create data visualizations that effectively communicate technical information and support decision-making.
See salaries and explore the career path for Data Engineer
Statistician
Statisticians collect, analyze, and interpret data. The 'Visual Analytics with Tableau' course may be useful in this field. Statisticians use data visualization tools to analyze data and identify trends. This course can help them create data visualizations that effectively communicate statistical insights and support data-driven decision-making.
See salaries and explore the career path for Statistician
Economist
Economists study the production, distribution, and consumption of goods and services. The 'Visual Analytics with Tableau' course may be useful in this field. Economists use data visualization tools to analyze economic data and identify trends. This course can help them create data visualizations that effectively communicate economic insights and support data-driven policy recommendations.
See salaries and explore the career path for Economist
Actuary
Actuaries use mathematical and statistical methods to assess risk. The 'Visual Analytics with Tableau' course may be useful in this field. Actuaries use data visualization tools to analyze data and identify trends. This course can help them create data visualizations that effectively communicate risk assessments and support decision-making.
See salaries and explore the career path for Actuary
Epidemiologist
Epidemiologists study the distribution and determinants of health-related states or events in specified populations. The 'Visual Analytics with Tableau' course may be useful in this field. Epidemiologists use data visualization tools to analyze data and identify trends. This course can help them create data visualizations that effectively communicate epidemiological insights and support data-driven public health interventions.
See salaries and explore the career path for Epidemiologist

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Visual Analytics with Tableau.
Cover image
Beautiful Evidence
Save
Classic work on data visualization. It provides a deep understanding of the principles of data visualization and how to create effective and informative visualizations. It valuable resource for both beginners and experienced data visualization professionals.
Beautiful Evidence
Hardcover
$$
Cover image
Data Visualization: Representing Information on...
Save
Provides a comprehensive overview of Tableau, including its features, capabilities, and best practices for data visualization. It valuable resource for both beginners and experienced Tableau users.
Data Visualization: Representing Information on...
Kindle Edition
$$$
Cover image
Egocentric Network Analysis
Save
Provides practical guidance on choosing the right chart for the right data. It covers a wide range of chart types and provides examples of how to use them effectively. It valuable resource for both beginners and experienced data visualization professionals.
Egocentric Network Analysis: Foundations, Methods,...
Paperback
$$
Egocentric Network Analysis: Foundations, Methods,...
Kindle Edition
$$
Cover image
Storytelling with You
Save
Provides a practical guide to storytelling with data. It covers the principles of storytelling, how to create effective data visualizations, and how to communicate your findings to others. It valuable resource for both beginners and experienced data visualization professionals.
Storytelling with You: Plan, Create, and Deliver a...
Paperback
$$
Storytelling with You: Plan, Create, and Deliver a...
Kindle Edition
$$
Cover image
#MakeoverMonday
Save
This comprehensive guide offers a hands-on approach to data visualization with Tableau, providing valuable insights into data analysis and presentation techniques.
#MakeoverMonday: Improving How We Visualize and...
Paperback
$$
#MakeoverMonday: Improving How We Visualize and...
Kindle Edition
$$
Cover image
Communicating Data with Tableau
Save
Provides a comprehensive overview of data visualization with Tableau. It covers the basics of Tableau, as well as more advanced topics such as data blending, mapping, and dashboarding. It good choice for beginners who want to learn a specific subject on Tableau.
Communicating Data with Tableau: Designing,...
Paperback
$$
Communicating Data with Tableau: Designing,...
Kindle Edition
$$
Cover image
Show Me the Numbers
Save
Provides a comprehensive guide to dashboard design, focusing on creating clear, concise, and actionable dashboards for effective data communication.
Show Me the Numbers: Designing Tables and Graphs to...
Hardcover
$$
Show Me the Numbers: Designing Tables and Graphs to...
Hardcover
$$
Show Me The Numbers
Unknown Binding
$$$
Cover image
Storytelling with Data
Save
This guide emphasizes the importance of storytelling in data visualization, providing valuable techniques for communicating insights and persuading audiences through data.
Storytelling with Data: A Data Visualization Guide...
Paperback
$$
Daphne Draws Data: A Storytelling with Data...
Hardcover
$$
Storytelling with Data: Let's Practice!
Paperback
$$
(Italiano) Data storytelling: generare valore dalla...
Kindle Edition
$$
(Deutsch) Storytelling mit Daten: Die Grundlagen der...
Paperback
$$
storytelling with data podcast
Podcast
Check Price
Storytelling met data: Datavisualisatie voor...
Paperback
$$$$
Cover image
Data Visualization with JavaScript
Save
Explores the principles and best practices of effective data visualization, helping readers choose the appropriate chart types for different data and communication goals.
Data Visualization with JavaScript
Kindle Edition
$$
Cover image
R for Data Science
Save
While focused on the R programming language, this book provides valuable insights into data science concepts and techniques, complementing the course's focus on data visualization.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
Beautiful News: Positive Trends, Uplifting Stats,...
Save
While not specifically focused on Tableau, this book provides a comprehensive overview of data visualization techniques and principles, offering valuable insights for course participants.
Beautiful News: Positive Trends, Uplifting Stats,...
Paperback
Check
Beautiful News: Positive Trends, Uplifting Stats,...
Kindle Edition
Check
Cover image
Python Data Science Handbook
Save
For learners interested in expanding their data analysis skills, this book offers a comprehensive guide to data science using Python, complementing the course's focus on Tableau.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
Data Visualisation
Save
Offers a user-friendly introduction to data visualization, making it accessible to learners from diverse backgrounds.
Data Visualisation: A Handbook for Data Driven...
Paperback
$$
Data Visualisation: A Handbook for Data Driven...
Paperback
$$$
Data Visualisation: A Handbook for Data Driven...
Paperback
$$$
Data Visualisation: A Handbook for Data Driven...
Kindle Edition
$$$
Data Visualisation: A Handbook for Data Driven...
Kindle Edition
$$$$

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Course image
Rating
4.6 Filled star Filled star Filled star Filled star Half star
Effort
Approx. 9 hours
Level
Introductory
Via
Coursera
Institution
University of California, Davis
Instructor
Suk S. Brar, M.B.A.
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা tiếng Việt پښتو آذربایجان دیلی
This course belongs to a collection called Data Visualization with Tableau. It's comprised of five courses:
  1. Fundamentals of Visualization with Tableau
  2. Essential Design Principles for Tableau
  3. Visual Analytics with Tableau (viewing)
  4. Creating Dashboards and Storytelling with Tableau
  5. Data Visualization with Tableau Project
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Delves into the technicalities of Tableau, such as charting, table calculations and mapping
Taught by Suk S. Brar, a recognized expert in data analytics and visualization
Strengthens an existing foundation for intermediate learners
Covers a comprehensive range of topics, from basic to advanced
Lacks real-world case studies for contextual learning
Requires some prior knowledge of data analysis and visualization principles
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