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.

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

Get introduced to the core ideas behind effective data visualization, including design principles, common chart types, and how visuals support storytelling with data.

Learn how to choose the right visualizations for exploring data or communicating insights, from histograms to time series to side-by-side bar charts.

Apply design principles to make your data visualizations clear, effective, and trustworthy.

Use color, shape, and size to highlight patterns, emphasize insights, and support accessible data communication.

Review the key ideas behind effective data visualizations and reflect on how principles like chart selection and clarity support strong data storytelling.

Get started with Tableau by installing the software, connecting to datasets, and preparing your workspace for analysis.

Learn how to build and save your first Tableau visualizations using dimensions, measures, and calculated fields.

Recap how Tableau organizes data and visualizations, including key components like rows, columns, and calculated fields, as you reflect on your first experience using the tool.

Get a preview of essential Tableau features—like marks, filters, and chart types—that will support deeper exploration and more advanced visualizations.

Learn how to control aggregation and granularity in Tableau to create more insightful visualizations.

Build interactive visualizations by drilling into custom and automatic hierarchies in Tableau.

Use marks and filters in Tableau to focus your visuals and highlight insights.

Build a range of effective chart types in Tableau and customize them for clarity and impact.

Create custom metrics and dynamic data groupings in Tableau using calculated fields, table calculations, groups, and sets.

Recap the essential Tableau concepts introduced in this lesson, including marks, filters, chart types, hierarchies, and grouping—reinforcing your understanding before diving deeper in future modules.

Explore how dashboards and stories can bring multiple views of your data together, setting the stage for interactivity, deeper analysis, and compelling communication in Tableau.

Build and customize dashboards in Tableau to bring together key charts, metrics, and layout elements for data storytelling.

Build engaging dashboards with filters, highlights, mobile layouts, and intentional design that guides decision-making.

Learn how to guide an audience through your insights with explanatory dashboards and Tableau Stories that communicate data clearly and persuasively.

Reflect on how interactive dashboards and stories can enhance your data communication and prepare you to apply your Tableau skills with purpose and clarity.

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 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 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.

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.

In this welcome lesson, you will meet your instructor and learn about the pre-requisite skills of this course. You will also have an overview of the topics covered in this course.

You learn about sequential data stories, and how eight different story types can be used to find and tell interesting data stories.

You will learn how to tell interactive stories by creating stories in Tableau. You will learn how to add a Hans Rosling bubble chart to Tableau and how to create a Tableau Storypoint Workbook.

You will use datasets for animating data and build out animations with Tableau pages and get introduced to Flourish.

You will learn how to add audio and narration to your data stories using Flourish, including setting up the files, charts, animation, and audio files to create interactive stories.

Congratulations on your graduation from this program! Please join us in celebrating your accomplishments.

In this lesson, you will learn about data types, measures of center, and the basics of statistical and mathematical notation.

In this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at descriptive and inferential statistics.

In this lesson, you will learn basic spreadsheet function: sort and filter data, use text and math functions, split columns and remove duplicates.

In this lesson, you will learn how to summarize data with aggregation and conditional functions. You will learn how to use pivot tables and lookup functions.

In this lesson you will build data visualizations for quantitative and categorical data; create pie, bar, line, scatter, histogram, and boxplot charts, and build professional presentations.