Data Visualization

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

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

What to do if you have questions about your account or general questions about the program.

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

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

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

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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

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.

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.a

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.

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

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.