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Mat Leonard, Robert Crocker, Ben Jones, Malavica Sridhar, and Josh Bernhard

Elevate your data storytelling skills with our advanced immersive online training course. Learn the art of data-driven narratives with Udacity. Enroll Today!

Prerequisite details

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Elevate your data storytelling skills with our advanced immersive online training course. Learn the art of data-driven narratives with Udacity. Enroll Today!

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Tableau visualizations
  • Basic data visualizations
  • Basic descriptive statistics
  • Explanatory data analysis
  • Tableau proficiency

You will also need to be able to communicate fluently and professionally in written and spoken English.

What's inside

Syllabus

In this welcome lesson, you will meet your instructor and learn about the pre-requisite skills of this course. You will also have an overview of the topics covered in this course.
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You learn about sequential data stories, and how eight different story types can be used to find and tell interesting data stories.
You will learn how to tell interactive stories by creating stories in Tableau. You will learn how to add a Hans Rosling bubble chart to Tableau and how to create a Tableau Storypoint Workbook.
In this lesson, you will apply the skills you have acquired in this course to use the World Bank Indicators data file to create an interactive Tableau Story.
You will use datasets for animating data and build out animations with Tableau pages and get introduced to Flourish.
You will learn how to add audio and narration to your data stories using Flourish, including setting up the files, charts, animation, and audio files to create interactive stories.
In this lesson, students will create an animated data story and add an audio track to create a narrated Flourish story that they can add to their portfolio.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Intends to deepen experience with Tableau visualizations and storytelling
Provides comprehensive guidance on creating engaging data stories
Empowers learners to harness the power of Tableau and Flourish for interactive storytelling
Requires proficiency in Tableau and basic data analysis concepts
Prioritizes written and spoken English fluency for effective participation

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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 Advanced Data Storytelling with these activities:
Tableau Visualization Practice
Reinforce your understanding of Tableau's visualization techniques through regular practice exercises.
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Show steps
  • Find online visualization exercises
  • Create visualizations based on provided datasets
  • Share your visualizations and get feedback
Tableau Dashboard Design Workshop
Enroll in an online workshop to master the art of creating interactive and visually stunning dashboards in Tableau.
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Show steps
  • Register for the workshop
  • Attend the live sessions
  • Complete the practice exercises
Data Storytelling Critique Group
Join a peer group to critique each other's data stories, providing constructive feedback to improve effectiveness.
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Show steps
  • Form a peer group
  • Share your data stories for review
  • Provide constructive feedback to your peers
Three other activities
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Show all six activities
Create a Data Story Narrative
Craft a compelling narrative that guides your audience through the data, highlighting key insights and trends.
Show steps
  • Gather and explore the data
  • Identify the story you want to tell
  • Structure your narrative
Create an Interactive Flourish Story
Embark on a hands-on project to build an interactive and engaging data story using the Flourish platform.
Show steps
  • Choose a dataset and story angle
  • Design your story structure and visuals
  • Develop the Flourish story
  • Publish and share your story
Contribute to Data Visualization Open-Source Projects
Immerse yourself in the open-source community by contributing code, reporting bugs, and providing suggestions for data visualization projects.
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Show steps
  • Identify open-source data visualization projects
  • Choose an area to contribute to
  • Submit your contribution

Career center

Learners who complete Advanced Data Storytelling will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to gain insights and make informed decisions. They collect, clean, analyze, and interpret data to identify trends, patterns, and anomalies. The Advanced Data Storytelling course will provide you with the skills and knowledge you need to excel as a Data Analyst as it covers topics such as data visualization, data analysis, and data storytelling. By completing this course, you will be well-equipped to effectively communicate data-driven insights to stakeholders.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract insights from data to solve challenges. They leverage tools and techniques from computer science, statistics, and mathematics to create analytical models and solutions. As a graduate of the Advanced Data Storytelling course, you will have a strong foundation in analyzing data, creating visualizations, and presenting insights. These skills are highly valuable to Data Scientists as they help them communicate complex findings effectively to stakeholders.
Business Analyst
A Business Analyst uses data to improve business processes and make better decisions. They work with stakeholders to gather requirements, analyze data, and make recommendations. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Business Analyst. You will learn how to collect, analyze, and interpret data, and how to communicate insights in a clear and concise way.
Data Journalist
A Data Journalist uses data to tell stories and inform the public. They gather, analyze, and interpret data to create compelling narratives. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Data Journalist. You will learn how to find and tell interesting data stories, and how to use data visualization to communicate insights.
Market Researcher
A Market Researcher conducts research to understand market trends and customer behavior. They collect, analyze, and interpret data to identify opportunities and make recommendations. The Advanced Data Storytelling course will provide you with the skills you need to succeed as a Market Researcher. You will learn how to design research studies, collect and analyze data, and present findings.
Product Manager
A Product Manager is responsible for the development and launch of new products and features. They work with stakeholders to define product requirements, and they track progress and make decisions throughout the development process. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Product Manager. You will learn how to understand user needs, analyze data, and make data-driven decisions.
User Experience (UX) Researcher
A UX Researcher studies user behavior to improve the user experience of products and services. They conduct research to understand user needs, pain points, and motivations. The Advanced Data Storytelling course will provide you with the skills you need to be an effective UX Researcher. You will learn how to design research studies, collect and analyze data, and present findings.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns to promote products and services. They work with stakeholders to define marketing goals, and they track progress and make decisions throughout the campaign. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Marketing Manager. You will learn how to understand customer behavior, analyze data, and make data-driven decisions.
Consultant
A Consultant provides advice and guidance to businesses and organizations. They work with clients to identify problems, develop solutions, and implement change. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Consultant. You will learn how to analyze data, identify trends, and make recommendations.
Financial Analyst
A Financial Analyst uses data to make investment decisions. They analyze financial data to identify trends and make recommendations. The Advanced Data Storytelling course will provide you with the skills you need to be an effective Financial Analyst. You will learn how to analyze financial data, identify trends, and make data-driven decisions.
Operations Manager
An Operations Manager is responsible for planning, organizing, and controlling the operations of a business. They work with stakeholders to define goals, and they track progress and make decisions throughout the operations process. The Advanced Data Storytelling course may be useful to you as an Operations Manager, as it will provide you with the skills you need to analyze data, identify trends, and make data-driven decisions.
Human Resources Manager
A Human Resources Manager is responsible for managing the human resources of an organization. They work with stakeholders to define goals, and they track progress and make decisions throughout the human resources process. The Advanced Data Storytelling course may be useful to you as a Human Resources Manager, as it will provide you with the skills you need to analyze data, identify trends, and make data-driven decisions.
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. They work with stakeholders to define goals, and they track progress and make decisions throughout the sales process. The Advanced Data Storytelling course may be useful to you as a Sales Manager, as it will provide you with the skills you need to analyze data, identify trends, and make data-driven decisions.
Project Manager
A Project Manager is responsible for planning, organizing, and controlling projects. They work with stakeholders to define goals, and they track progress and make decisions throughout the project. The Advanced Data Storytelling course may be useful to you as a Project Manager, as it will provide you with the skills you need to analyze data, identify trends, and make data-driven decisions.
Teacher
A Teacher educates students in a variety of subjects. They work with students to develop knowledge and skills, and they track progress and make decisions throughout the educational process. The Advanced Data Storytelling course may be useful to you as a Teacher, as it will provide you with the skills you need to analyze data, identify trends, and make data-driven decisions.

Reading list

We've selected ten 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 Advanced Data Storytelling.
Comprehensive guide to data storytelling, providing a framework for developing and communicating compelling data-driven narratives. It covers key principles, techniques, and examples to help readers effectively engage their audience with data.
This classic work on data visualization provides a theoretical foundation and practical guidelines for creating effective visual representations of data. It covers principles of design, perception, and cognition to help readers understand and interpret data visualizations.
Explores the art and science of data storytelling, providing insights into how to create engaging and informative data-driven narratives. It covers topics such as storytelling techniques, visual design, and ethical considerations.
Offers a concise and accessible introduction to data visualization principles and techniques. It covers a wide range of topics, including chart types, visual encodings, and best practices for effective data visualization.
Provides a comprehensive guide to selecting and using the appropriate chart type for different types of data and analysis goals. It offers practical advice and examples to help readers create effective data visualizations.
While this book focuses on using Python and JavaScript for data visualization, it provides valuable insights into the principles and techniques of data visualization that can be applied to other tools and technologies.
Provides a comprehensive overview of dashboard design and development, covering topics such as data visualization, user experience, and best practices. It offers practical guidance and examples to help readers create effective and informative dashboards.
Provides practical guidelines and examples for creating effective data visualizations for business and journalism. It covers topics such as chart selection, data presentation, and visual aesthetics.

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