[Udacity] Programming For Data Science V1.0.0 | Size: 2.21G

Programming for Data Science

Prepare for a data science career by learning the fundamental data programming tools: Python or R, SQL, command line, and git. Choose to enroll in either the Python or R track.

ESTIMATED TIME 3 Months At 10 hrs/week
ENROLL BY May 22, 2019

Get access to the classroom immediately on enrollment
PREREQUISITES None

IN COLLABORATION WITH

Choose your track

PYTHON TRACK TRACK

Python Track

PYTHON TRACK

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Learn to Code in Python and SQL

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

3 months to complete

PREREQUISITE KNOWLEDGE

There are no prerequisites for this program, aside from basic computer skills. See detailed requirements.

Introduction to SQL

Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.

INVESTIGATE A DATABASE
Introduction to Python Programming

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
Introduction to Version Control

Learn how to use version control and share your work with other people in the data science industry.

POST YOUR WORK ON GITHUB

NEED TO PREPARE?

If you are brand new to data, try out Udacity’s Business Analytics Nanodegree program.

59%

of companies plan to increase positions requiring data analysis skills.

R Track

R TRACK

Learn to Code in R and SQL

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.

SEE DETAILS

3 months to complete

All our Nanodegree programs include:

Real-world projects from industry experts

With real-world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

1-on-1 technical mentor

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.

A personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments, you can learn at your own pace and reach your personal goals.

Learn with the best

Josh Bernhard

DATA SCIENTIST AT NERD WALLET

Josh has been sharing his passion for data for nearly a decade at all levels of the university, and as Lead Data Science Instructor at Galvanize. He’s used data science for work ranging from cancer research to process automation.

Derek Steer

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.

Juno Lee

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 Kalehoff

INSTRUCTOR

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 Krueger

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.

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