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Data Visualization

Nanodegree Program

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.

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.

Beginner

5 months

Real-world Projects

Completion Certificate

Last Updated June 4, 2024

Skills you'll learn:
Animated data visualizations • Flourish • Data storytelling • Data limitations and biases
Prerequisites:
Explanatory data analysis • Basic computer literacy • Basic descriptive statistics

Courses In This Program

Course 1 1 hour

Welcome to the Nanodegree Program

Lesson 1

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.

Lesson 2

Getting Help

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

Lesson 3

Get Help with Your Account

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

Lesson 4

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.

Course 2 1 week

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.

Lesson 1

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.

Lesson 2

Design Principles

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

Lesson 3

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.

Lesson 4

Telling Stories with Tableau

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

Lesson 5 • Project

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.

Course 3 4 weeks

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.

Lesson 1

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.

Lesson 2

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.

Lesson 3

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.

Lesson 4 • Project

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.

Lesson 5

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.

Lesson 6 • Project

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.

Course 4 1 month

Data Storytelling

In this course, you will learn the end-to-end process for telling a story and providing a recommendation based on data. You’ll learn to create a “ghost deck” to define a problem statement, scope possible analyses, and outline a set of potential solutions, along with next steps. You’ll also learn to identify what type of data analysis tool is appropriate for specific types of visualizations. You will learn how to identify limitations and biases in data. Lastly, you’ll learn to create a polished deck that uncovers the story from within the data through data visualizations.

Lesson 1

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.

Lesson 2

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.

Lesson 3

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.

Lesson 4 • Project

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

Lesson 5

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.

Lesson 6

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.

Lesson 7 • Project

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.

Taught By The Best

Photo of Mat Leonard

Mat Leonard

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Photo of Robert Crocker

Robert Crocker

Data Visualization Consultant at IBM

Robert is a Data Visualization consultant with over 7 years of experience leveraging Tableau at places such as First Republic Bank, Charles Schwab, and Pinterest. He now provides solutions to clients all over the world, providing training to professionals and executing projects onsite and remotely.

Photo of Ben Jones

Ben Jones

CEO of DataLiteracy.com

Ben Jones is the founder & CEO of Data Literacy, LLC, a training company that helps people learn the language of data. Ben teaches data visualization theory at the University of Washington, and he's the author of Communicating Data With Tableau (O'Reilly 2014).

Photo of Malavica Sridhar

Malavica Sridhar

Senior Product Manager at CircleUp

Malavica is a Senior Product Manager with over five years of experience. Her work includes building Helio, an ML platform used to identify breakout brands in early-stage consumer packaged goods companies.

Photo of Josh Bernhard

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

Ratings & Reviews

Average Rating: 4.6 Stars

124 Reviews

Jose Alberto M.

July 17, 2022

It has been great, Now I am on the next project

Krina P.

June 12, 2022

Initially the deliverables were a bit unclear

YOKOYAMA H.

April 15, 2022

I felt that the deadlines were too strict. The review was very specific and detailed, which helped a lot.

Sara R.

February 1, 2022

The program are great, up to date and designed well. The videos, pro tips, quizzes ,projects made me more confident. Projects were challenging but it brings the best out of us. Mentors, Project Reviewers ,Knowledge base ,community also added up to making this learning journey successful. After completing one program successfully, I look forward to learning more with Udacity. Thank You Udacity!.

Kenji G.

January 16, 2022

So far, so goods.

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