At 10 hours/week
Get access to classroom immediately on enrollment
To be successful in this program, you should have basic statistics and data analysis skills.See detailed requirements.
Learn how to select the most appropriate data visualization for an analysis, evaluate the effectiveness of a data visualization, and build interactive and engaging Tableau dashboards.Build Data Dashboards
Design and create a dashboard in an enterprise environment. Discover user needs, identify key metrics, and tailor your dashboard to a particular audience.Design a Data Dashboard
Learn the end to end process for telling a story and providing a recommendation based on data. You'll define an effective problem statement, structure a data presentation, scope analyses, identify biases and limitations within your dataset, and pull together an end-to-end analysis.Build a Data Story
Learn advanced data visualization and storytelling techniques. Learn to use Tableau Storypoint to add interactivity and other visual elements to a story, and add animation and narration with Tableau Pages and Flourish.Animate a Data Story
from industry experts
Personal career coach and
Instructional Designer at Kaggle
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Data Scientist at Nerd Wallet
Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.
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.
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.
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).
Numbers don't lie. See what difference it makes in career searches.*
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
Average salary increase for graduates who found a new, better job within six months of graduation.
Data analysis and communication are highly sought after skills. Recent LinkedIn research even pointed to data presentation as one of the top 10 most in-demand skills.
Udacity has collaborated with Tableau and highly skilled industry leaders to build this program. You’ll get hands-on practice visualizing data and using them to clearly communicate data-driven recommendations.
By taking this course, you will combine hard skills in data analysis and visualization with soft skills in presentation, storytelling, and communication to create effective presentations.
This program is intended to supplement existing skills and is not meant to prepare you for a specific role. However, the skills you gain are appropriate for many fields including business, marketing, data analytics, executive leadership, and more.
This program is intended for two types of students: business leaders and data professionals.
If you are a business leader looking to leverage data to communicate more effectively, this program is for you. You’ll be able to make your case for a business goal using data to tell a story.
If you are a data analyst, data scientist, machine learning engineer, or other data professional, this program will help you communicate your findings more effectively. You’ll be able to influence your business by showcasing and communicating the most important pieces of data.
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
This program is appropriate for students with some experience with data analysis. You should understand descriptive statistics, such as calculating measures of center (mean, median, mode), measures of spread (variance, standard deviation), and distributions (normal distribution, skewness). You should also be familiar with analyzing data in spreadsheets (Excel, Google Sheets, etc.). If you do not have this background, there are courses included in the extracurricular section of the program to help you.
If you need to sharpen your pre-requisite skills, try the Intro to Descriptive Statistics course.
The Data Visualization Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Please see the Udacity Nanodegree program FAQs for policies on enrollment in our programs.
There are no specific hardware or software requirements for this program, other than access to the internet and a 64-bit computer.