Programming for Data Science
Enrollment Closing In
Study 10 hrs/week and complete in 3 mo.
Classroom opens 7 days after enrollment closes
In this program, you’ll learn the most valuable programming tools and languages used by data scientists today. You’ll learn how to manipulate large datasets, perform version control, and access modern databases. You’ll select the track in either Python or R, two of the most popular programming languages used by Data Scientists today. 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. 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.
There are no prerequisites for this program, aside from basic computer skills.See detailed requirements.
Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to 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 libraries like NumPy and Pandas.Explore US Bikeshare Data
Learn how to use version control and share your work with other people in the data science industry.Post your work on Github
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.
CEO at Mode
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.
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze 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.
Command Line Instructor
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.
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 or R, 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 or R, SQL, Terminal, and Git.
If you are interested in taking the first step into the field of Data Science this course is for you. This course will quickly teach you the foundational data science programming tools (Python or R, SQL, Git). This course requires no pre-requisite knowledge so you can get started now. Having mastered these in demand tools you will be able to tackle real world data analysis problems.
Learning to program Python or R and SQL, the main programing languages used by data scientists and analysts, is the core of this program. If you decide to take the Programming for Data Science with Python, 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.
We offer two tracks to this program, one teaching Python and one teaching R. These are both popular among data scientists. You can enroll in one or the other, not both.
Both tracks cover the same fundamental concepts but use a different programming language. The SQL, command line, and Git curriculum is the same in both tracks. This includes the first and third projects, which are the same between the two tracks.
The programming course and project are different between the two tracks. One course relies on Python while the other relies on R. The projects for the two courses rely on the same dataset and skills but they differ in the approach and final deliverable. See the syllabus above for more details.
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 career roles like Business Analyst, Data Analyst, Data Scientist, and Data Engineer.
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.
Check out our Data Analyst Nanodegree program to take the programming skills you have learned and apply them to real world Data Analyst business problems. Working on these more complex projects will deepen your knowledge of coding and make you a more attractive candidate to be hired as an data analyst.
You could also consider the Data Engineer Nanodegree program, which focuses on data models, data warehouses, and data pipelines.
For this Nanodegree program you will need a 64-bit computer and access to the Internet.