Study 10 hrs/week and complete in 3 mo.
In this program, you’ll learn the most valuable programming tools and languages used by data professionals today. You’ll learn how to manipulate large datasets, perform version control, and access modern databases. This program is an ideal way to launch a career in data, and for experienced analysts, it’s an excellent opportunity to augment your existing skill set with in-demand programming skills.
Learn industry-standard data programming skills and tools through our learn-by-doing approach, and build a shareable portfolio in Github that clearly and effectively demonstrates your expertise.
Advance quickly and successfully through the curriculum with the benefit of detailed and personalized feedback from our reviewer network—this will ensure you master all the right skills.
Draw inspiration and knowledge from your student community and stay on track with the support of the mentor network directly in the classroom when you need guidance on specific challenges or projects.
Establish foundational data science programming skills that will enable you to take the next important steps in your career. Receive critical guidance about different career options and gain the insights necessary to proceed with confidence.
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There are no prerequisites for this program.
Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Use SQL to answer complex business problems.Investigate a Database
Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using the most common libraries like NumPy and Pandas.Explore US Bikeshare Data
Learn how to use version control to keep track of your work, and share your projects with other people in the data science industry.Post your work on Github
Data Science Curriculum Lead
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.
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.
As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.
Richard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front-end web development, to backend programming, to database and server management.
Karl is a Course Developer at Udacity. Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.
To make it even easier to learn, you can finance your Nanodegree through Affirm.
As low as US$50 per month at 0% APR.
Pay your monthly bill using a bank transfer, check, or debit card.
Learn Python, SQL, and Git