NEW!
Nanodegree Program

Programming for Data Science

Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git.

  • Time
    1 Three-Month Term

    Study 10 hrs/week and complete in 3 mo.

  • Classroom Opens
    August 28, 2018
  • Prerequisites
    None

    See prerequisites in detail

In Collaboration With
  • Mode

Why Take This Nanodegree Program?

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.


Why Take This Nanodegree Program?

59% of companies plan to increase positions requiring data analysis skills.

Essential Tools for a Data Career
Essential Tools for a Data Career

Essential Tools for a Data Career

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.

Beneficial and Supportive Project Review

Beneficial and Supportive Project Review

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.

An Outstanding Community
An Outstanding Community

An Outstanding Community

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.

Prepare for a Career in Data Science

Prepare for a Career in Data Science

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.

What You Will Learn

Download Syllabus

Learn to use Python, SQL, and Github

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, the Terminal, and Git and Github.

Master the core tools to solve problems with data including Python, SQL, the terminal and git.

See fewer details

3 months to complete

Prerequisite Knowledge

There are no prerequisites for this program.

  • Introduction to SQL

    Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. 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 the most common libraries like NumPy and Pandas.

    Explore US Bikeshare Data
  • Introduction to Version Control

    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

Learn with the best

Josh Bernhard
Josh Bernhard

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 Steer
Derek Steer

SQL Instructor

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
Juno Lee

Python Instructor

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 Kalehoff
Richard Kalehoff

Git 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
Karl Krueger

Terminal 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.

Learn now, pay later

To make it even easier to learn, you can finance your Nanodegree through Affirm.

  • Easy monthly payments

    As low as US$50 per month at 0% APR.

    Learn more.

  • Flexible Payments

    Pay your monthly bill using a bank transfer, check, or debit card.

Programming for Data Science
$599 USD

total

Learn Python, SQL, and Git

Programming for Data Science