Mastering: Data Driven Storytelling

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About Course

Tell compelling stories with data by learning to define problem statements, identify biases, build ghost decks, and design visualizations that transform raw analysis into polished recommendations for stakeholders.

What Will You Learn?

  • Data Visualization in Tableau
  • Univariate and Bivariate Chart Selection
  • Tableau Aggregations
  • Tableau visualizations
  • Tableau proficiency
  • Tableau Marks and Filters
  • Data Visualization Design Integrity
  • Interactive and Responsive Tableau Dashboard Design
  • Tableau hierarchies
  • Tableau Dashboard Creation
  • Connecting to Data and Setting Up Tableau
  • Tableau interactive dashboards
  • Tableau Chart Types
  • Tableau storypoint
  • Color and Visual Encodings
  • Tableau groups
  • Building and Saving Worksheets in Tableau
  • Tableau calculated fields
  • Dashboard Design
  • Data visualization design
  • Usability testing
  • Wireframes
  • Feedback loops
  • Business KPIs
  • Stakeholder analysis
  • Chart types
  • Data Storytelling
  • Data storytelling
  • Data limitations and biases
  • Problem statements
  • Professional presentations
  • Ghost decks
  • Roadmaps
  • Issue trees
  • Advanced Data Storytelling
  • Animated data visualizations
  • Flourish
  • Tableau pages
  • Data storytelling
  • Tableau storypoint
  • Tableau interactive dashboards

Course Content

Introduction to Story Telling
In this lesson, we will introduce the topic of Story Telling and also go over the course outline, including a sneak peek at the 2 projects that are part of the course.

Define Problem Statement
In this lesson students will understand how to clearly articulate the problem statement that is driving the analysis, and why it matters.

Issue Trees and Building a Ghost Deck
In this lesson students will learn to build an analysis roadmap to stay efficient with your analysis time. An analysis roadmap consists of two key elements: (1) an issue tree and (2) a ghost deck.

Build a Data Story Midterm Project
In this mid-term project, apply the skills in structuring a data story on a Movies Metadata and practice defining your own problem statement and the analyses you plan to do.

Limitations and Biases
The data you work with is flawed and in this lesson students will learn where bias can be introduced in the collection, processing, and analysis process and call these caveats out.

Visualizations and Tying it Together
This lesson ties everything together. It covers effective visualizations depending on the problem you are solving, and reviewing a data presentation end to end.

Build a Data Story Final Project
Building on the ghost deck, you will perform various analyses to identify the limitations and biases in data that affect the recommendations, and you will now create a final presentation.

Advanced Data Storytelling
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.

Eight Data Story Types
You learn about sequential data stories, and how eight different story types can be used to find and tell interesting data stories.

Creating stories in Tableau
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.

Animate a Data Story Midterm Project
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.

Animating Visualizations
You will use datasets for animating data and build out animations with Tableau pages and get introduced to Flourish.

Animation and Narration
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.

Animate a Data Story Final Project
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.