Nanodegree Program

Python Foundation

Learn how to program in Python and get ready for a career in data science, machine learning, deep learning, and artificial intelligence


7 days refund, no questions asked

  • Time
    2 months

    Time - 8 weeks (6-8 hrs per week)

  • Prerequisites
    No Prior Programming experience required
  • Classroom Opens
1000+ jobopportunities created
80+ Hiring partnersonboard
40 lac+ Highestannual CTC offered

Why learn Python to analyze data?


Python is easy and versatile. With its quick and fast approach it makes life easy for those who work with data. It is also the first step in many new age technologies like Machine Learning, Data Science, and Artificial Intelligence


It is the 5th most popular programming language in the world, and the 1st in data science and machine learning market. It is also used by industry giants like Google, Spotify, Netflix to generate insights, and build products.

Effective & Engaging Content
Effective & Engaging Content

Effective & Engaging Content

Get started with programming through interactive content like quizzes, videos, and hands-on projects. Our learn-by-doing approach is the most effective way to learn to code.

Beneficial and Supportive Project Review

Beneficial and Supportive Project Review

Advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.

An Outstanding Community
An Outstanding Community

An Outstanding Community

Stay on track with mentors who will help in case of any doubts or when you are stuck on projects.

Get Ahead on a Career-Track Program

Get Ahead on a Career-Track Program

Learn the skills needed to enroll in a career-track Nanodegree program, then try them out on a real project from one of those programs!

Learn with the best

Caroline Buckey
Caroline Buckey


Before joining Udacity, Caroline worked as a Software Engineer at Quixey, a startup building a search engine for apps. While receiving her undergraduate degree from Carnegie Mellon, she was a TA for six different courses, and that same love for teaching later led her to join Udacity. Outside of work, she likes reading fiction, playing board games, and drinking bubble tea.

Philip Mallory
Philip Mallory

Content Developer

Philip has had the privilege to teach in several formats. He’s taught Game Boy Advance programming in person, coached data science and introductory computer science courses at Udacity, and now he’s developing courses too. He’s applied computer science to music composition, aerial dolphin photography, and oncology. When he’s away from his keyboard Philip rides bikes, cooks, and plays ultimate. Philip attended Georgia Tech where he earned a B.S. in Computer Science. He’s currently enrolled in Georgia Tech’s online M.S. in CS, a program offered in collaboration with Udacity.

Charlie Turner
Charlie Turner

Content Developer

Charlie has worked in the UK's National Bureau of Statistics and has more than a decade of experience in data analysis and manipulation. Today, it is Course Developer and Course Manager at Udacity. He holds a PhD in Mathematics from the University of Warwick.

What You Will Learn

Python Foundation

What are you going to learn

Learn Python programming fundamentals such as data types and structures, variables, loops, and functions. You will work on NumPy and Pandas to handle and manipulate data.

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2 months to complete

Prerequisite Knowledge

No Prior Programming experience required See detailed requirements.

  • Variables, conditionals, loops, and data

    Get to know the basic Python frameworks and commands that will allow you to build your first program to analyze data in a simplified way.

  • Files and Modules

    Learn how to use Python libraries. Build programs that process different databases, interpret the information found, and generate a new file for you. Test your learning by tracking information on Wikipedia.

  • Data handling and manipulation

    Gain familiarity with NumPy (Numerical Python) and Pandas, two of the best-known libraries for handling and manipulating data.

  • Final project and next steps

    This module is entirely dedicated to your final project. You will clean and manipulate a database, consolidating all your learning. It will be your first work with iPython Notebook and with our team of reviewers, who will give you tips and feedback on your Python development.

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Start Learning
Python Foundation

Start Learning

7 days refund; no questions asked

Admission Closes: 26th Feb
Total Seats: 250
Time to Complete: 2 months
Full Fee: ₹7,100*

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Payment Options

We support multiple payment options for your convenience. Choose an option that suits you the most

Credit/Debit Card

Accepting payments through Credit/Debit cards from all major banks.

EMI on Credit Card

Split the payment of the course fee across 3 or more months. Option is available for all plans. Instalment information available on the payment page.

Internet Banking
Internet Banking

Seamless payment though Internet banking accepting payments from over 59 banks.


    About the course
  • Why do I take up this Nanodegree?
    This program is developed to learn programming in Python, focused especially for the data analysis. If you are interested in taking your first steps in the world of data science, machine learning and artificial intelligence, this is the perfect way to get started!
  • What are prerequisites for this Nanodegree?
    There are no prerequisites for this Nanodegree. Anyone and Everyone can take this up, which is the best part!
  • How is the Nanodegree Program Structured?
    This Nanodegree is of 2 months, which needs to be completed in the given time period. Your 2 months will start from the date you get access to your classroom.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of this Nanodegree program, and the need for maintaining a consistent and stable student body throughout, doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of this Nanodegree is fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during the Nanodegree, and individual project deadlines are recommendations, not requirements. So within the Nanodegree, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • What are my options if I don't complete this Nanodegree by the deadline?
    You will have 4 week’s extension to submit any outstanding project. Note that there won’t be any further extension provided.
  • What kind of weekly time commitment should I expect?
    No, deferments are not an option. We ask that you please make sure to only enroll for this Nanodegree if you are able to commit to the entire time frame.
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you, please make sure to only enroll for the Nanodegree if you can commit to the entire time frame.
  • What happens to my access to the content if I am unable to graduate within the term duration?
    Access to the content is locked if the student is unable to complete all their projects and graduate within the given term duration. This motivates the students to stay on track and finish the Nanodegree on time.
  • Do I lose access to this Nanodegree once I graduate?
    No, you will not lose access to the content of this Nanodegree once you graduate. Your access will be there for the lifetime.
  • Does this Nanodegree provide Mentorship?
    Yes, you will be provided mentors to guide you throughout the Nanodegree.
  • Does this Nanodegree offer any trial period?
    No, this Nanodegree does not contain any free day trial period. We do have seven days no questions asked refund policy. You can pay for your Nanodegree and ask for a refund within seven days from the date you get access to your classroom.
  • Do you provide Scholarship for this Nanodegree?
    No, Currently there is no scholarship available for this Nanodegree. We will let you know when we come up with a scholarship for this Nanodegree. For more information on scholarships, please write to
    Career Services
  • What career services we provide?
    This is a basic level course which does not make you Job-Ready.
    Student Support
  • What is the kind of student support I will get during this program?
    Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project.
    Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.
  • How can I get in touch with Udacity for any support?
    Please write to for faster response
    Payments & Refunds
  • Do we get 50% refund for this Nanodegree?
    No, We do not offer 50% refund on completing of this Nanodegree.
  • Does this Nanodegree follow seven days No Questions Asked refund policy?
    Yes, this Nanodegree follows seven days no questions asked refund policy. Seven days are counted from the date you get access to your classroom.
  • If the refund is provided for this Nanodegree, How much time does the refund process take?
    The refund process takes up to 2-3 weeks of time. The amount will be refunded back to the original model of payment. If you would like to get the refund in a different bank account, please mention the same to while requesting for a refund.
  • How do I get my invoice?
    Please write to, It can take maximum upto 7 days for us to issue your invoice.
  • What if I do not receive my refund in 15-20 days?
    If you do not receive your refund within 15-20 days, please reach out to

Python Foundation

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