Data Visualization

Welcome to the Data Visualization Nanodegree 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.

Getting Help

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

Get Help with Your Account

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

Introduction to Data Visualization Nanodegree 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.

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.

Build a Data Visualization project

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

Introduction to 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.

Introduction to Story Telling

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.

Define Problem Statement

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

Issue Trees and Building a Ghost Deck

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.

Build a Data Story Midterm Project

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

Limitations and Biases

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.

Visualizations and Tying it Together

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

Build a Data Story Final Project

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.

Welcome to Advanced Data Storytelling

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.

Eight Data Story Types

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

Creating stories in Tableau

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.

Animate a Data Story Midterm Project

In this lesson, you will apply the skills you have acquired in this course to use the World Bank Indicators data file to create an interactive Tableau Story.

Animating Visualizations

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

Animation and Narration

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.

Animate a Data Story Final Project

In this lesson, students will create an animated data story and add an audio track to create a narrated Flourish story that they can add to their portfolio.

Capstone Project

In the capstone project, you will write a blog to describe how you would improve an existing visualization. You will have a choice of datasets to choose from, and you will write your recommendations.

Industry Research

You're building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.

Take 30 Min to Improve your LinkedIn

Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.

Resume Review

Improve your resume by getting personalized feedback on how you communicate your qualifications for a job.

Descriptive Statistics I

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

Descriptive Statistics II

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.

Spreadsheets 2: Manipulate Data

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

Spreadsheets 3: Analyze Data

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.

Spreadsheets 4: Visualize Data

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.