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Programming for Data Science with Python

Nanodegree Program

Prepare for a data science career by learning the fundamental data programming tools: Python, SQL, command line, and git.

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04Days06Hrs56Min23Sec

  • Estimated time
    3 Months

    At 10 hrs/week

  • Enroll by
    September 28, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    None
In collaboration with
  • Mode

What you will learn

  1. Learn to Code in Python and SQL

    3 months to complete

    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.

    Prerequisite knowledge

    1. Introduction to SQL

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

    2. 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.

    3. Introduction to Version Control

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

All our 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.

  • Technical mentor support

    Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Class content

    • Content co-created with Mode
    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers
  • Student services

    • Technical mentor support
    • Student community
  • Career services

    • Github review
    • Linkedin profile optimization

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Mentors available to answer your questions.

  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors
  • 1,400+

    technical mentors

  • 0.85 hours

    median response time

Learn with the best.

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 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

    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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Programming for Data Science with Python

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    Best Value
  • Learn

    You'll complete three projects, with a focus on the Python Language.
  • Average Time

    On average, successful students take 3 months to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

Program details

Program overview: Why should I take this program?
  • Why should I enroll?
  • What jobs will this program prepare me for?
  • How do I know if this program is right for me?
  • What is the difference between the Python track and the R track?
  • What is the School of Data Science, and how do I know which program to choose?
Enrollment and admission
  • Do I need to apply? What are the admission criteria?
  • What are the prerequisites for enrollment?
Tuition and term of program
  • How is this Nanodegree program structured?
  • How long is this Nanodegree program?
  • Can I switch my start date? Can I get a refund?
  • I have graduated from the Programming for Data Science with R Nanodegree program and I want to keep learning. Where should I go from here?
Software and hardware: What do I need for this program?
  • What software and versions will I need in this program?

Programming for Data Science with Python

Enroll today, and start putting your skills to work!

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