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Julie Pai
and
Majed Al-Ghandour
This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.
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What's inside
Syllabus
Multivariate Visualization Methods
For all but the simplest datasets, complex analytics requires a multivariate understanding of the data being studied. Visual interactivity with the data is a key component of multivariate analytics and makes finding higher dimensional relationships in complex datasets more intuitive. In this module, we’ll take a look at various chart types and visualizations used to express comparisons. You will also have the opportunity to practice correlations in Tableau.
Read more
Syllabus
Multivariate Visualization Methods
For all but the simplest datasets, complex analytics requires a multivariate understanding of the data being studied. Visual interactivity with the data is a key component of multivariate analytics and makes finding higher dimensional relationships in complex datasets more intuitive. In this module, we’ll take a look at various chart types and visualizations used to express comparisons. You will also have the opportunity to practice correlations in Tableau.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Examines data storytelling and how to craft compelling narratives from data
Suitable for learners interested in data visualization and analytics
Taught by experienced data science instructors
Requires a basic understanding of data analysis and Tableau
Focuses on practical applications using Tableau for data visualization
Provides guidance on avoiding misinterpretation and bias in data visualizations
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Reviews summary
Effective data storytelling with tableau
According to learners, this course on Data Storytelling is a largely positive experience, highly praised for its ability to equip students with practical skills for communicating complex insights. Students frequently highlight the engaging lectures and the instructor's clear explanations, making technical concepts accessible. The course effectively integrates hands-on activities with Tableau exercises, enabling learners to perform multivariate analysis and create impactful visualizations. A notable strength is its focus on ethical data practices, teaching how to avoid problematic visualizations and misrepresentation. While the course is well-structured, some learners with prior experience might find certain sections review foundational concepts, suggesting it benefits a broad range of learners but particularly those looking to enhance their communication of data.
Pacing may vary based on prior experience.
"As a beginner, I found some sections moved a bit fast, but the core concepts were well-explained."
"For someone with prior data experience, some early modules felt a bit slow, but it built up nicely."
"I wished for more `in-depth coverage` on advanced statistical methods and `Tableau techniques`."
Highlights ethical considerations in visualization.
"The module on `ethics, deception, and fallacies` was incredibly insightful and important."
"It made me more aware of how easy it is to `misrepresent data` and how to avoid those pitfalls."
"Understanding `problematic visualizations` and their impact is a critical takeaway for me."
Offers practical experience with Tableau.
"The `hands-on activities` and `Tableau demos` were excellent for solidifying my visualization skills."
"Working with the S&P 500 dataset in `Tableau` provided valuable experience."
"I already knew some Tableau, but this course showed me how to use it for multivariate analysis effectively."
Instructor delivers concepts clearly and engagingly.
"The `instructor` was fantastic, explaining complex ideas with great clarity and enthusiasm."
"I appreciated the `lectures` and the `instructor's` ability to make potentially dry topics very interesting."
"The `instructor's` insights and real-world examples truly enhanced my learning experience."
Teaches how to convey insights clearly.
"The `storytelling frameworks` were incredibly helpful for structuring my reports and presentations effectively."
"I learned to identify the key insights and present them in a way that truly engages my audience, not just with data."
"It really changed how I approach data presentation; now I think about the 'story' first."
Equips learners with immediately applicable skills.
"I found the content highly practical; I could apply the data storytelling principles directly to my work presentations."
"The focus on real-world examples and `Tableau exercises` made the concepts easy to grasp and implement right away."
"This course helped me transform complex data into compelling narratives that resonate with stakeholders."
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 Data Storytelling with these
activities:
Organize Course Notes
Show steps
Improve retention and understanding by organizing course materials.
Show steps
-
Review lecture notes, assignments, and readings.
-
Create a structured system for organizing notes using folders, note-taking apps, or a physical binder.
-
Condense and summarize key concepts from each module.
Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics
Show steps
Enhance your understanding of data visualization principles and techniques.
View
Visualize This: The FlowingData Guide to Design...
on Amazon
Show steps
-
Read the book, focusing on chapters related to data storytelling, multivariate visualization, and ethical considerations.
-
Summarize key concepts and techniques in your own notes.
-
Apply the principles to your own data analysis projects.
Guided Visualizations
Show steps
Reinforce data storytelling techniques and gain proficiency with Tableau.
Browse courses on
Data Storytelling
Show steps
-
Explore Tableau's online user guides and tutorials for specific data storytelling techniques.
-
Practice creating visualizations by following step-by-step tutorials on Tableau's website.
-
Attend live or virtual webinars hosted by Tableau experts on advanced data storytelling.
Two other activities
Expand to see all activities and additional details
Show all five activities
Multivariate Visualization Exercises
Show steps
Develop proficiency in multivariate visualization using Tableau.
Show steps
-
Identify datasets with multiple variables.
-
Select appropriate chart types and visualizations for the given data.
-
Practice data exploration, filtering, and sorting to extract insights.
-
Share findings using effective data storytelling techniques.
Interactive Data Dashboard
Show steps
Apply data storytelling principles to create a comprehensive and engaging data dashboard.
Browse courses on
Tableau Dashboard
Show steps
-
Identify a dataset and define the story you want to tell.
-
Design the dashboard layout, including the placement of visualizations and interactions.
-
Develop interactive visualizations using Tableau's advanced features.
-
Incorporate annotations, tooltips, and filters to enhance user understanding.
-
Present and share the dashboard with stakeholders, providing a narrative to guide their analysis.
Organize Course Notes
Show steps
Improve retention and understanding by organizing course materials.
Show steps
Show steps
Show steps
- Review lecture notes, assignments, and readings.
- Create a structured system for organizing notes using folders, note-taking apps, or a physical binder.
- Condense and summarize key concepts from each module.
Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics
Show steps
Enhance your understanding of data visualization principles and techniques.
View
Visualize This: The FlowingData Guide to Design...
on Amazon
Show steps
Show steps
Show steps
- Read the book, focusing on chapters related to data storytelling, multivariate visualization, and ethical considerations.
- Summarize key concepts and techniques in your own notes.
- Apply the principles to your own data analysis projects.
Guided Visualizations
Show steps
Reinforce data storytelling techniques and gain proficiency with Tableau.
Browse courses on
Data Storytelling
Show steps
Show steps
Show steps
- Explore Tableau's online user guides and tutorials for specific data storytelling techniques.
- Practice creating visualizations by following step-by-step tutorials on Tableau's website.
- Attend live or virtual webinars hosted by Tableau experts on advanced data storytelling.
Two other activities
Expand to see all activities and additional details
Show all five activities
Multivariate Visualization Exercises
Show steps
Develop proficiency in multivariate visualization using Tableau.
Show steps
Show steps
Show steps
- Identify datasets with multiple variables.
- Select appropriate chart types and visualizations for the given data.
- Practice data exploration, filtering, and sorting to extract insights.
- Share findings using effective data storytelling techniques.
Interactive Data Dashboard
Show steps
Apply data storytelling principles to create a comprehensive and engaging data dashboard.
Browse courses on
Tableau Dashboard
Show steps
Show steps
Show steps
- Identify a dataset and define the story you want to tell.
- Design the dashboard layout, including the placement of visualizations and interactions.
- Develop interactive visualizations using Tableau's advanced features.
- Incorporate annotations, tooltips, and filters to enhance user understanding.
- Present and share the dashboard with stakeholders, providing a narrative to guide their analysis.
Career center
Learners who complete Data Storytelling will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist analyzes data to extract insights that can be used to improve business decision-making. This course provides a solid foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Data Scientist. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help organizations make informed decisions. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Data Analyst. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and patterns that can help businesses improve their performance. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Business Intelligence Analyst. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Market Researcher
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior and market trends. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Market Researcher. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to evaluate the financial performance of companies and make investment recommendations. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Financial Analyst. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to analyze and improve the efficiency of business operations. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for an Operations Research Analyst. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines to collect, process, and store data. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Data Engineer. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to draw conclusions about the world. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are essential skills for a Statistician. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Software Engineers. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Product Manager
Product Manager
A Product Manager defines and manages the development of software products. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Product Managers. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Management Consultant
Management Consultant
A Management Consultant helps organizations improve their performance by providing advice and guidance. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Management Consultants. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products and services. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Marketing Managers. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Sales Manager
Sales Manager
A Sales Manager leads and motivates a team of sales representatives. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Sales Managers. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Human Resources Manager
Human Resources Manager
A Human Resources Manager develops and implements policies and procedures to manage the human resources of an organization. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Human Resources Managers. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
Financial Planner
Financial Planner
A Financial Planner helps individuals and families plan for their financial future. This course provides a strong foundation in data analysis techniques, data visualization, and data storytelling, all of which are increasingly important skills for Financial Planners. The course also covers ethical considerations in data analysis, which is increasingly important in today's data-driven world.
For more career information including salaries, visit:
OpenCourser.com/course/qvpyrx/data
Reading list
We've selected nine 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
Data Storytelling.
Save
Classic work on data visualization. It provides a deep understanding of the principles of data visualization, and how to use them to create effective and informative visualizations.
Provides a comprehensive overview of multivariate data analysis techniques. It covers a variety of techniques, including factor analysis, cluster analysis, and discriminant analysis.
Provides a comprehensive overview of data storytelling, including principles, techniques, and best practices. It valuable resource for anyone who wants to learn how to communicate data effectively.
Save
Provides a practical guide to understanding and using data. It covers a variety of topics, including how to find and evaluate data, how to interpret data, and how to communicate data effectively.
Great introduction to data visualization for beginners. It covers the basics of data visualization, including different types of charts and graphs, and how to use them effectively.
Provides a practical guide to data science. It covers a variety of topics, including how to collect and clean data, how to analyze data, and how to communicate data effectively.
Save
Provides a gentle introduction to machine learning. It covers a variety of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a gentle introduction to big data. It covers a variety of topics, including data storage, data processing, and data analysis.
Provides a practical guide to automating tasks with Python. It covers a variety of topics, including web scraping, data analysis, and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qvpyrx/data
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Institution
University of California, Irvine
Instructors
Julie Pai
Majed Al-Ghandour
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This course belongs to a
collection
called
Use Tableau for Your Data Science Workflow. It's comprised of three courses:
- Data Visualization Best Practices
- Dashboarding and Deployment
- Data Storytelling (viewing)
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