Programming for Data Science
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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
The Programming for Data Science Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. Get your start into the fascinating field of data science and learn Python, SQL, terminal, and git with the help of experienced instructors.
This is an introductory program that is not designed to prepare you for a specific job. However, as a graduate of this program, you will be proficient in the programming skills used in many data analysis and data science roles, including Python, SQL, Terminal, and Git.
Learning to program Python and SQL, the main programing languages used by data scientists and analysts, is the core of this program. You’ll also learn specialized data libraries for Python including Pandas and Numpy, and use Git and the Terminal to share your work and learn about version control. By learning these foundational programming skills, you will be ready to advance your career in data.
Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around three main career roles: Business Analyst, Data Analyst, and Data Scientist.
The School of Data currently offers two clearly-defined career paths. These paths are differentiated by whether they focus on developing programming skills or not. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
There are no prerequisites for enrolling aside from basic computer skills and English proficiency. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying and pasting.
The program is comprised of 1 (one) 3 (three)-month term with fixed start and end dates. Students must successfully complete all assigned projects by the end date of the term to graduate. The projects give you an opportunity to apply the skills you've learned in the lessons.
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 found here for policies on enrollment in our programs.
The full program consists of 1 (one) 3 (three)-month long term at a cost of USD $599.
Payment is due before the term begins.
We recommend enrolling in our Data Analyst Nanodegree program. This will afford you the opportunity to take the programming skills you’ve already learned, and start applying them to real-world problems similar to those faced by working Data Analysts every day. You’ll deepen your knowledge of coding, and build both confidence and experience. This will enable you to significantly bolster your chances of being hired for a Data Analyst role.
For this Nanodegree program you will need a 64-bit computer and access to the Internet. Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be used, but the program will guide students on how to download once the course has begun.