Turn Data into Insights
Classes start in
Study 10 hrs/week and complete in 3 mo.
No experience required
This program is perfect for beginners. You’ll learn data analysis skills and tools that will help you throughout your career, whether you’re in engineering, sales, marketing, operations, etc. You’ll learn to use Excel, SQL, and Tableau to manipulate, analyze, and visualize data with the end goal of making better, data-informed decisions.
Learn foundational data skills (Excel, SQL, Tableau) with personalized feedback from experts. Graduate in 3 months ready to apply your new skills!
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This is an introductory program and has no prerequisites. In order to succeed, we recommend having experience using a computer and being able to download and install applications. See detailed requirements.See detailed requirements.
In this part, you’ll get an orientation into using our classroom and services. You’ll also get advice for making the best use of your time while enrolled in this program.Interpret a Data Visualization
Learn how to calculate statistics and build visuals used in industry to best display and communicate data insights. Develop proficiency in Microsoft Excel and master the skills necessary to inform decision makers and make an impact using data.Analyze Survey Data
Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.Query a Digital Music Store Database
Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.Build Data Dashboards
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.
Dana is an electrical engineer and computer scientist. She has many years of experience in industry working in software development and data analysis, and is excited to share her love of learning with Udacity students.
Mat, the Curriculum Lead, is a former physicist, neuroscientist, and data scientist with a passion for education. Recently, he led the Deep Learning Nanodegree Foundation program covering state-of-the-art machine learning models.
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.
Jared is the Product Lead for Udacity’s Artificial Intelligence and Machine Learning programs. He is passionate about democratizing education and spreading opportunity. Prior to Udacity, Jared worked at a data science bootcamp.
While both programs are full-featured Nanodegree programs offering the same suite of benefits and services—such as real-world projects, expert project review, mentorship, career guidance, and more—the two programs are designed to support students with differing degrees of experience and skill.
Our Data Foundations Nanodegree program is for those new to data. It has no prerequisites, and beginners are welcome. In this program, you'll learn to use statistics, Excel, SQL, and Tableau to describe and analyze data. No previous programming experience is required. Graduates of this program will be prepared to put their data skills to work right away, and will also be qualified to enroll in either our Data Analyst or Business Analyst Nanodegree programs.
Our Data Analyst Nanodegree program is for learners with intermediate data experience, who are ready to master the skills necessary to pursue full-time data science careers. Programming skills are taught in this program, and so it is ideal for those learners who wish to add programming to their data skillset. (We recommend our Business Analyst Nanodegree program if you wish to learn job-ready data skills without adding a programming component).