Mat Leonard
Content Developer
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Data Visualization
Nanodegree Program
This Data Visualization Nanodegree program covers four courses on data visualization and storytelling. Students will learn to select appropriate visualizations, design effective dashboards, and tell data stories that uncover insights and make recommendations. They will use Tableau to build interactive dashboards and create polished presentations with data visualizations. Through a series of projects, students will learn to discover user needs, identify key metrics, prototype, and design dashboards, analyze data to find insights and communicate recommendations effectively.
This Data Visualization Nanodegree program covers four courses on data visualization and storytelling. Students will learn to select appropriate visualizations, design effective dashboards, and tell data stories that uncover insights and make recommendations. They will use Tableau to build interactive dashboards and create polished presentations with data visualizations. Through a series of projects, students will learn to discover user needs, identify key metrics, prototype, and design dashboards, analyze data to find insights and communicate recommendations effectively.
Beginner
5 months
Real-world Projects
Completion Certificate
Last Updated November 27, 2023
Animated data visualizations • Flourish • Data storytelling • Data limitations and biases
Basic spreadsheet use • Basic descriptive statistics • Propositional logic
Courses In This Program
Course 1 • 1 hour
Welcome to the Nanodegree Program
Course 2 • 1 week
Data Visualization in Tableau
Learn how to select the most appropriate data visualization for an analysis. Learn how to evaluate the effectiveness of a data visualization and build interactive and engaging Tableau dashboards.
Course 3 • 4 weeks
Dashboard Design
In this course, you’ll learn the process of designing and creating dashboards within an enterprise environment. You’ll learn to discover user needs, identify key metrics, and tailor your dashboard to a particular audience. You’ll learn to use design elements to maximize the effectiveness of the dashboard and how to iterate based on user feedback.
Course 4 • 1 month
Data Storytelling
In this course, you will learn the end-to-end process for telling a story and providing a recommendation based on data. You’ll learn to create a “ghost deck” to define a problem statement, scope possible analyses, and outline a set of potential solutions, along with next steps. You’ll also learn to identify what type of data analysis tool is appropriate for specific types of visualizations. You will learn how to identify limitations and biases in data. Lastly, you’ll learn to create a polished deck that uncovers the story from within the data through data visualizations.
Taught By The Best
Robert Crocker
Data Visualization Consultant at IBM
Robert is a Data Visualization consultant with over 7 years of experience leveraging Tableau at places such as First Republic Bank, Charles Schwab, and Pinterest. He now provides solutions to clients all over the world, providing training to professionals and executing projects onsite and remotely.
Ben Jones
CEO of DataLiteracy.com
Ben Jones is the founder & CEO of Data Literacy, LLC, a training company that helps people learn the language of data. Ben teaches data visualization theory at the University of Washington, and he's the author of Communicating Data With Tableau (O'Reilly 2014).
Malavica Sridhar
Senior Product Manager at CircleUp
Malavica is a Senior Product Manager with over five years of experience. Her work includes building Helio, an ML platform used to identify breakout brands in early-stage consumer packaged goods companies.
Josh Bernhard
Staff Data Scientist
Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.
Ratings & Reviews
Average Rating: 4.6 Stars
(124 Reviews)
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