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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 January 8, 2024

Skills you'll learn:
Animated data visualizations • Flourish • Data storytelling • Data limitations and biases
Prerequisites:
Explanatory data analysis • Basic computer literacy • Basic descriptive statistics

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

Photo of Mat Leonard

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.

Photo of Robert Crocker

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.

Photo of Ben Jones

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).

Photo of Malavica Sridhar

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.

Photo of Josh Bernhard

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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