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.
Overview
Syllabus
- Welcome to the Nanodegree Program
- 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.
- 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.
- Data Storytelling
- 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.
- Advanced Data Storytelling
- Build engaging, animated data stories. Practice using Tableau Storypoint, Tableau Pages, and Flourish to design interactive visuals, apply narration, and showcase insights in compelling, professional ways.
- Data Visualization Capstone
- Congratulations!
- Congratulations on finishing your program!
- [Supplemental] Introduction to Data
- The course "[Supplemental] Introduction to Data" offers a comprehensive exploration of essential data concepts and tools. It begins with two foundational lessons on Descriptive Statistics, equipping learners with the skills to summarize and interpret data effectively. The course further delves into practical applications using spreadsheets, where students will learn to manipulate, analyze, and visualize data. Each lesson builds progressively, enabling participants to develop robust data management capabilities. By the course's conclusion, students will be well-prepared to engage with data analytically and extract meaningful insights, laying the groundwork for more advanced studies.
Taught by
Mat Leonard, Josh Bernhard , Robert Crocker, Malavica Sridhar and Ben Jones