Data Storytelling from Coursera

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.

Statistical Relationships and Distributions

How important do you think interaction is for general audiences to gain an understanding of complex data sets? In this module, we’ll explore how visual interactivity with the data makes higher dimensional relationships in complex datasets more intuitive and debate whether interactivity in visualization is a hindrance or help for larger audiences.

Storytelling with Data

Why does storytelling matter when delivering data to your audiences? What are the principles of storytelling that you should implement into your visuals? In this module, we’ll examine aspects of storytelling and how to structure your story to effectively communicate the right insights to your key stakeholders.

Ethics, Deception, and Fallacies

Any time we create a visualization, we create an abstract model of the data. As designers, we must ensure that the data is represented as truthfully and objectively as possible because they have the ability to mislead, deceive, or confuse. In this module, we’ll take a look at some problematic visualizations and how to avoid misrepresenting data. You’ll also put your knowledge to use and perform multivariate visualization methods in Tableau.

Good to know

Know what's good

, what to watch for

, 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

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

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Improve retention and understanding by organizing course materials.

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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

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Enhance your understanding of data visualization principles and techniques.

View Visualize This: The FlowingData Guide to Design... on Amazon

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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

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Reinforce data storytelling techniques and gain proficiency with Tableau.

Browse courses on Data Storytelling

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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

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Multivariate Visualization Exercises

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Develop proficiency in multivariate visualization using Tableau.

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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

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Apply data storytelling principles to create a comprehensive and engaging data dashboard.

Browse courses on Tableau Dashboard

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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

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Operations Research 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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Data Engineer

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.

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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.

See salaries and explore the career path for Software Engineer

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.

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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.

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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.

See salaries and explore the career path for Sales 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.

See salaries and explore the career path for Marketing Manager

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.

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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.

See salaries and explore the career path for Human Resources Manager