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Data Viz Using Tableau & Presenting With Storytelling

Brandon Krakowsky

Data visualization is a crucial aspect of data analysis and decision-making in today's data-driven world. In this course, you will delve into the fascinating realm of data visualization and harness the power of Tableau, a leading data visualization tool. You'll learn how to transform raw data into insightful visuals that convey complex information effectively. This course will empower you to create compelling visualizations that aid in decision-making, storytelling, and conveying insights to both technical and non-technical stakeholders. Data analysis is only as impactful as your ability to communicate the findings to others. This course will equip you with the skills and techniques necessary to craft compelling data stories and deliver persuasive presentations that resonate with diverse audiences.

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What's inside

Syllabus

Module 1: Data Visualization and Tableau
Learn the fundamentals of data visualization and explore Tableau, a leading tool in the industry. This module covers key concepts, best practices, and the creation of basic visualizations like one-dimensional and time-series charts. By the end, you'll be able to transform raw data into compelling visual stories.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on Tableau, which is a leading data visualization tool used across various industries for creating interactive dashboards and reports
Develops skills in data storytelling and presentation, which are essential for conveying complex information to diverse audiences and stakeholders
Explores multi-dimensional visualizations and spatial analysis, enabling learners to tackle complex data challenges and uncover deeper insights
Begins with the fundamentals of data visualization and gradually progresses to more advanced techniques, making it suitable for learners with varying levels of expertise
Teaches how to transform raw data into compelling visual stories, which is a valuable skill for data-driven decision-making and communication
Requires familiarity with Tableau, and learners may need to acquire a Tableau license or use the trial version to fully participate in hands-on exercises

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Reviews summary

Data viz with tableau & storytelling

According to learners, this course provides a strong foundation in data visualization using Tableau, covering everything from basic charts to multi-dimensional visualizations. Many appreciate the clear and engaging teaching style of the instructor and find the content highly practical and applicable to real-world scenarios. While the Tableau content is generally well-received, some learners feel that the storytelling and presentation module could be expanded or go into greater depth. Overall, students find it a valuable course, particularly for those starting out or looking to solidify their skills.
Well-suited for those new to data visualization.
"As someone new to Tableau and data viz, I found this course very accessible."
"This course is great for beginners wanting to learn Tableau and presentation skills."
"It's a good introduction if you are just starting with data visualization."
Provides a comprehensive base in Tableau.
"The course provided a solid foundation in using Tableau for common data viz tasks."
"It covers the fundamentals of Tableau very well and progresses logically."
"I gained a strong foundation from completing this course. Great starting point for Tableau."
Learn skills applicable immediately to work.
"I learned a lot in this course, particularly related to how Tableau works and functions. I'll be able to apply this knowledge immediately."
"Highly practical and useful skills taught. Great for using in professional settings."
"Learned practical tools and strategies that I could apply immediately to my work."
Teaching style makes complex topics clear.
"The instructor is great and very thorough. He explained the complex concepts very clearly."
"The instructor was fantastic and explained concepts clearly. Highly recommend this course."
"The instructor is very engaging and clarifies all the concepts well."
Presentation/storytelling part could be expanded.
"The data storytelling module felt a bit less developed compared to the Tableau sections."
"Wished the presentation and storytelling part went into more depth and examples."
"I felt the storytelling section could be expanded a bit for a deeper dive."

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 Viz Using Tableau & Presenting With Storytelling with these activities:
Review Basic Statistics Concepts
Reinforce your understanding of fundamental statistical concepts to better interpret and create meaningful data visualizations in Tableau.
Browse courses on Descriptive Statistics
Show steps
  • Review key statistical terms and formulas.
  • Practice applying statistical concepts to sample datasets.
Review 'The Visual Display of Quantitative Information'
Gain a deeper understanding of the principles of effective data visualization design to create more impactful and informative visuals.
View The Visual Display of Quantitative Information,... on Amazon
Show steps
  • Read the book and take notes on key design principles.
  • Analyze existing visualizations based on Tufte's principles.
  • Apply the principles to your own data visualization projects.
Review 'Storytelling with Data'
Learn how to craft compelling narratives around your data visualizations to enhance their impact and persuasiveness.
View Storytelling with Data: A Data Visualization... on Amazon
Show steps
  • Read the book and take notes on key concepts.
  • Apply the principles to your own data visualization projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Peer Review and Feedback
Participate in peer review sessions to receive feedback on your data visualizations and storytelling techniques.
Show steps
  • Share your visualizations with classmates or colleagues.
  • Provide constructive feedback on their visualizations.
  • Discuss different approaches to data storytelling.
Explore Advanced Tableau Features
Deepen your Tableau expertise by exploring advanced features like calculated fields, parameters, and sets through online tutorials.
Show steps
  • Identify specific Tableau features you want to learn.
  • Find and follow relevant tutorials on the Tableau website or YouTube.
  • Practice implementing the features with your own data.
Visualize Public Datasets
Solidify your Tableau skills by creating visualizations using publicly available datasets from sources like Kaggle or government websites.
Show steps
  • Find a public dataset that interests you.
  • Explore the data and identify potential insights.
  • Create visualizations in Tableau to communicate your findings.
  • Share your visualizations on Tableau Public.
Create a Data Visualization Portfolio
Showcase your Tableau skills and data storytelling abilities by creating a portfolio of your best visualizations.
Show steps
  • Select your best data visualization projects.
  • Write a brief description of each project, highlighting the insights and the storytelling approach.
  • Publish your portfolio online using a platform like Tableau Public or a personal website.

Career center

Learners who complete Data Viz Using Tableau & Presenting With Storytelling will develop knowledge and skills that may be useful to these careers:
Data Analyst
The role of a Data Analyst revolves around interpreting data and transforming it into actionable insights. A core skill for a Data Analyst lies in the ability to present data effectively, which this course addresses directly. This course helps you visualize complex datasets using Tableau, a vital skill for creating dashboards and reports that inform business decisions. Further, the focus on data storytelling enables you to articulate findings in a clear, concise, and persuasive manner, which is essential for influencing stakeholders and driving strategic initiatives. Learning how to communicate complex ideas to a variety of audiences is a key objective for someone aspiring to be a Data Analyst.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
A Business Intelligence Analyst needs to understand data visualization to make informed decisions. This course on Tableau and storytelling helps you translate data into actionable strategies. The course teaches how to transform raw data into insightful visuals using Tableau, a leading tool in business intelligence. You will also learn to craft compelling data stories and deliver persuasive presentations. Business Intelligence Analysts often present complex data to stakeholders, and this course prepares you to communicate effectively and drive strategic decision-making. The course's module on multidimensional visualizations prepares you to analyze relationships between data points.
See salaries and explore the career path for Business Intelligence Analyst
Marketing Analyst
A Marketing Analyst assesses marketing campaign performance and identifies trends to optimize strategies. This course helps you visualize campaign data using Tableau to create insightful reports. Skills in data storytelling will enable you to present findings to marketing teams, driving data-informed decisions. A focus on communication and visualization makes this course suitable for anyone seeking to excel as a Marketing Analyst. The ability to present data effectively is crucial in conveying insights to both technical and non-technical stakeholders, which this course directly addresses. The skills learned here allow a Marketing Analyst to better understand campaign effectiveness.
See salaries and explore the career path for Marketing Analyst
Data Scientist
Data Scientists solve complex problems with data, and effective communication of findings is crucial. This course helps you present your analysis clearly and persuasively to both technical and non-technical audiences. The focus on Tableau helps you create insightful visualizations that communicate complex information. The data storytelling aspect of the course prepares you to present your findings in a compelling way. While Data Scientists often require advanced statistical expertise, presenting complex insights to stakeholders is vital. This is where the course proves useful. Data Scientists also benefit from effective communication skills, which this course enhances.
See salaries and explore the career path for Data Scientist
Management Consultant
A Management Consultant analyzes data and recommends strategies to improve organizational performance. This course helps you present data clearly and persuasively to clients. You will learn to transform raw data into insightful visuals using Tableau. You will also learn to craft compelling data stories and deliver persuasive presentations. Management Consultants must often present complex information to diverse audiences, and this course equips you with the necessary communication skills. The course's focus on storytelling provides a method for delivering recommendations in a way that facilitates buy-in.
See salaries and explore the career path for Management Consultant
Financial Analyst
Financial Analysts use data to inform investment decisions. The ability to visualize financial data and present it clearly is crucial. This course helps you transform raw financial data into insightful visuals using Tableau. The focus on data storytelling equips you to present financial analysis in a manner that is persuasive. Financial Analysts often need to present data to stakeholders, and this course prepares you to create compelling presentations. The development of persuasive communication skills is what makes this course attractive to an aspirational Financial Analyst.
See salaries and explore the career path for Financial Analyst
Healthcare Analyst
Healthcare Analysts use data to improve healthcare outcomes. This course may be useful by teaching you how to visualize healthcare data and present your findings effectively. The course teaches you how to transform raw data into insightful visuals using Tableau. The curriculum also focuses on crafting compelling data stories and delivering persuasive presentations. Healthcare Analysts often need to present data to administrators and clinicians, and this course equips you with communication skills. The course's module on multidimensional visualizations may prepare you to analyze relationships between patient data and healthcare outcomes.
See salaries and explore the career path for Healthcare Analyst
Supply Chain Analyst
Supply Chain Analysts optimize the flow of goods and information. This course may be useful in visualizing supply chain data and presenting your analysis effectively. The curriculum focuses on transforming raw data into insightful visuals using Tableau, a leading tool in the industry. You will also learn to craft compelling data stories and deliver persuasive presentations. Supply Chain Analysts often need to present data to logistics teams and management, and this course may provide a foundation for effective communication. Learning basics of Tableau might allow you to find trends in the complex supply chain.
See salaries and explore the career path for Supply Chain Analyst
Human Resources Analyst
A Human Resources Analyst utilizes data to improve workforce management. This course may be helpful in visualizing HR data and presenting your analysis effectively. The course addresses how to transform raw data into insightful visuals using Tableau. You will also learn to craft compelling data stories and deliver persuasive presentations. Human Resources Analysts often need to present data to HR managers and executives. This course may give you a foundation for effective communication. Learning Tableau could provide an advantage when visualizing recruitment and retention.
See salaries and explore the career path for Human Resources Analyst
Operations Research Analyst
Operations Research Analysts use mathematical modeling to improve efficiency. This course may be useful by teaching you how to present your findings clearly and persuasively. The focus on data storytelling may prepare you to present complex models to stakeholders effectively. Operations Research Analysts typically require a strong background in mathematics and statistics, often including an advanced degree. The course may provide a foundation for effective communication to non-technical audiences. The module on data visualizations may provide a foundation to display model outputs.
See salaries and explore the career path for Operations Research Analyst
Actuary
Actuaries assess and manage risk, often using statistical models. This course may be helpful in communicating complex actuarial findings to stakeholders. Actuaries typically require advanced mathematical and statistical knowledge and often need to interpret models. The focus on data storytelling in this course may help you explain complex risk assessments to non-technical audiences. The skills developed in the course may be useful in presenting findings to clients and management. This role typically requires advanced certification.
See salaries and explore the career path for Actuary
Statistician
Statisticians collect, analyze, and interpret data to solve problems. Skills in communicating statistical findings are crucial. The focus on Tableau in this course may help you visualize data and present statistical results in an accessible manner. This course may be useful if you wish to present complicated findings to a broad audience. Statisticians typically require advanced degrees in statistics or mathematics and often develop models. The skills learned in this course may be useful when translating results into reports.
See salaries and explore the career path for Statistician
Economist
Economists study the production and distribution of resources. This course might be useful in presenting economic data and analysis to policymakers and the public. The course may help you visualize economic trends. Economists typically have advanced degrees in economics and often develop models. The focus on data storytelling may provide a foundation for explaining economic concepts to non-technical audiences. This course may provide some advantage in terms of communicating results.
See salaries and explore the career path for Economist
Survey Researcher
Survey Researchers design and conduct surveys to collect data. This course may be useful in presenting survey findings to clients and stakeholders. The course's emphasis on visualizing data using Tableau may help you effectively communicate survey results. The skills in storytelling potentially make it easier to convey key insights derived from survey data. While Survey Researchers need to have statistical knowledge, their ability to present data is of crucial importance.
See salaries and explore the career path for Survey Researcher
Technical Writer
Technical Writers create documentation for technical products. While seemingly unrelated, this course may be useful in visually representing complex technical data. Though this is not generally a data-heavy role, in some fields, a Technical Writer may need to work with data. The course may help you transform raw data into insightful visuals using Tableau. The ability to present technical information clearly is crucial. The course's module on data visualization may be useful in creating visual aids for technical documentation.
See salaries and explore the career path for Technical Writer

Reading list

We've selected two 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 Viz Using Tableau & Presenting With Storytelling.
Cover image
Storytelling with Data
Save
Provides a comprehensive guide to creating effective data visualizations and communicating insights through storytelling. It emphasizes the importance of understanding your audience, choosing the right visuals, and crafting a compelling narrative. This book is commonly used by business professionals and academics alike. It adds depth to the course by providing practical examples and actionable strategies for presenting data in a clear and engaging manner.
Storytelling with Data: A Data Visualization Guide...
Paperback
$$
Daphne Draws Data: A Storytelling with Data...
Hardcover
$$
Storytelling with Data: Let's Practice!
Paperback
$$
storytelling with data podcast
Podcast
Check Price
(Deutsch) Storytelling mit Daten: Die Grundlagen der...
Paperback
$$
(Italiano) Data storytelling: generare valore dalla...
Kindle Edition
$$
Cover image
The Visual Display of Quantitative Information...
Save
Classic in the field of data visualization, providing a deep dive into the principles of effective visual design. It emphasizes clarity, precision, and the importance of letting the data speak for itself. While more valuable as additional reading, it is commonly used by academics and industry professionals. It adds breadth to the course by providing a theoretical foundation for data visualization best practices.
The Visual Display of Quantitative Information, 2nd...
Paperback
$$

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Course image
Effort
3 weeks of study
Level
Introductory
Via
Coursera
Institution
University of Pennsylvania
Instructor
Brandon Krakowsky
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on Tableau, which is a leading data visualization tool used across various industries for creating interactive dashboards and reports
Develops skills in data storytelling and presentation, which are essential for conveying complex information to diverse audiences and stakeholders
Explores multi-dimensional visualizations and spatial analysis, enabling learners to tackle complex data challenges and uncover deeper insights
Begins with the fundamentals of data visualization and gradually progresses to more advanced techniques, making it suitable for learners with varying levels of expertise
Teaches how to transform raw data into compelling visual stories, which is a valuable skill for data-driven decision-making and communication
Requires familiarity with Tableau, and learners may need to acquire a Tableau license or use the trial version to fully participate in hands-on exercises
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