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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ursgf9/visual
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.
Read more
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.
Read more
Dates
This module highlights the important topic of dates within Tableau. You will be able to differentiate between discrete and continuous dates and when to use each. You will be able to use date hierarchies and use the date field to better customize your charts. You will be able to convert between discrete and continuous dates and know when and why you want to switch from one to the other. You will create dates using calculated fields.
Table Calculations
In this module, you will focus on table calculations. You will be able to create new calculated fields to allow you to compare fields, apply aggregations, and more. You will be able use quick table calculations and create new calculated fields. You will be able to customize them and apply filters and parameters to your table calculations.
Mapping
In this final module, we will go more in depths about maps within Tableau. You will be able to connect to a different data sources and customize your maps by changing colors, shapes, and sizes. You will be able to custom geocode a map and create Tableau maps with geographic data that is not recognized by Tableau. You will also be able to create dual layer maps and showcase how to overlay maps on top of one another.
Good to know
Good to know
Know what's good ,
what to watch for , 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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Save Visual Analytics with Tableau to your list so you can find it easily later:
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Reviews summary
Engaging tableau course
Learners say this Visual Analytics with Tableau course is very good. They particularly appreciate the engaging assignments and the helpful instructors.
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Review Basic Data Analysis Concepts
Show steps
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
Show steps
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
Show steps
Stay organized and prepared by creating a system for storing, reviewing, and accessing course materials, including notes, assignments, and supplemental resources.
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Create a set of charts and tables for a dataset and share your work with a peer for feedback and discussion.
Show steps
Show steps
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
Show steps
Enhance your Tableau skills by practicing and mastering table calculations to derive meaningful insights from your data.
Browse courses on
Data Manipulation
Show steps
Show steps
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
Show steps
Explore the diverse range of charts offered by Tableau to represent data effectively and engage your audience.
Browse courses on
Data Visualization
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
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.
Business Intelligence 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.
Market Researcher
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.
Financial Analyst
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.
Data Scientist
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.
Operations Research 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.
Management Consultant
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.
Marketing Manager
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.
Product 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.
Software Engineer
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.
Data 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.
Statistician
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.
Economist
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.
Actuary
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.
Epidemiologist
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.
For more career information including salaries, visit:
OpenCourser.com/course/ursgf9/visual
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.
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.
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.
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.
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.
Save
This comprehensive guide offers a hands-on approach to data visualization with Tableau, providing valuable insights into data analysis and presentation techniques.
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.
Save
Provides a comprehensive guide to dashboard design, focusing on creating clear, concise, and actionable dashboards for effective data communication.
This guide emphasizes the importance of storytelling in data visualization, providing valuable techniques for communicating insights and persuading audiences through data.
Explores the principles and best practices of effective data visualization, helping readers choose the appropriate chart types for different data and communication goals.
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.
While not specifically focused on Tableau, this book provides a comprehensive overview of data visualization techniques and principles, offering valuable insights for course participants.
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.
Save
Offers a user-friendly introduction to data visualization, making it accessible to learners from diverse backgrounds.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ursgf9/visual
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Effort
4 weeks of study, 5-7 hours/week
Level
Introductory
Via
Coursera
Institution
University of California, Davis
Instructor
Suk S. Brar, M.B.A.
Language
English
Transcripts
Español
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Português
Deutsch
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中文
العربية
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پښتو
آذربایجان دیلی
This course belongs to a
collection
called
Data Visualization with Tableau. It's comprised of five courses:
- Fundamentals of Visualization with Tableau
- Essential Design Principles for Tableau
- Visual Analytics with Tableau (viewing)
- Creating Dashboards and Storytelling with Tableau
- Data Visualization with Tableau Project
Good to know
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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