Data Visualization

About Course

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.

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

Welcome to the Data Visualization program
Welcome to the Data Visualization program! In this lesson, you will learn more about the structure of the program and meet the instructor.

Data Visualization Fundamentals
In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.

Design Principles
In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.

Creating Visualizations in Tableau
This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.

Telling Stories with Tableau
In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.

Project: Build Data Visualizations
In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.

Dashboard Design
In this lesson, we introduce the topic of Dashboard design, take a look at the outline for the course, and take a sneak peek at the final project.

Planning Phase
In order to design a dashboard that meets our users needs we need to first understand what they are after and what are their pain points. Early discussions are critical in the planning phase.

Design Phase
Students will learn about the design phase of creating their dashboards. This includes considering graphicacy, chart choice, visual hierarchy. Tools like sketching and wireframing are practiced.

Design a Data Dashboard Midterm Project
In this project, you will build a dashboard prototype along with sketches and wireframes for the prototype. The dashboard will be designed based on the Superstore database from Tableau.

Polishing Dashboards for Production
In this lesson, students will learn how to design the final dashboard by attending to the text hierarchy, affordance, interactivity of the dashboard, annotations, and color scheme.

Design a Data Dashboard Final Project
In this final project, students complete the dashboard they designed in the mid-point. They will add color, annotations, interactivity and make it production ready.

About Course

What Will You Learn?

Course Content

Welcome to the Data Visualization program Welcome to the Data Visualization program! In this lesson, you will learn more about the structure of the program and meet the instructor.

Data Visualization Fundamentals In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.

Design Principles In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.

Creating Visualizations in Tableau This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.

Telling Stories with Tableau In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.

Project: Build Data Visualizations In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.

Dashboard Design In this lesson, we introduce the topic of Dashboard design, take a look at the outline for the course, and take a sneak peek at the final project.

Planning Phase In order to design a dashboard that meets our users needs we need to first understand what they are after and what are their pain points. Early discussions are critical in the planning phase.

Design Phase Students will learn about the design phase of creating their dashboards. This includes considering graphicacy, chart choice, visual hierarchy. Tools like sketching and wireframing are practiced.

Design a Data Dashboard Midterm Project In this project, you will build a dashboard prototype along with sketches and wireframes for the prototype. The dashboard will be designed based on the Superstore database from Tableau.

Polishing Dashboards for Production In this lesson, students will learn how to design the final dashboard by attending to the text hierarchy, affordance, interactivity of the dashboard, annotations, and color scheme.

Design a Data Dashboard Final Project In this final project, students complete the dashboard they designed in the mid-point. They will add color, annotations, interactivity and make it production ready.