Nanodegree Program

Machine Learning Foundation

Make Predictive Models

Udacity's Machine Learning Foundation Nanodegree is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more! This Nanodegree helps you learn Python and Statistics. It consists of 4 projects and is perfect for beginners in the field of data.


7 days refund, no questions asked

  • Time
    3 months

    Study 10 hrs/week and complete in 3 mo.

  • Prerequisites
    No coding experience needed
  • Get Certified Now

    View the Nanodegree

  • Classroom Opens
In Collaboration with
  • kaggle

Why Take This Nanodegree Program?

Machine learning is taking over the world - it is benefiting companies across industries. It is helping organisations create systems that can understand, learn, predict, adapt and operate on their own. Thus, understanding how machine learning works is one of the most valuable and useful things you can do.

Whether you’re launching a career, advancing a career, or just excited to learn a new skill, there is no time like the present to start learning, and this program offers everything you need to get up to speed—with no prior programming skills required.

Why Take This Nanodegree Program?

USD 2 Tn: Global Machine Learning Opportunity

1000+ jobopportunities created
80+ Hiring partnersonboard
40 lac+ Highestannual CTC offered
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

Draw inspiration and knowledge from dedicated slack forums. Stay on track with mentors who will help in case of any doubts or when you are stuck with 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—you’ll get credit for it when you enroll!

Learn with the best

Arpan Chakraborty
Arpan Chakraborty

Course Developer

Arpan likes to find computing solutions to everyday problems. He is interested in human-computer interaction, robotics and cognitive science. He obtained his PhD from North Carolina State University, focusing on biologically-inspired computer vision. At Udacity, he spends a good chunk of time designing interactive exercises for his courses, besides working on pet projects to improve or automate workflow.

David Joyner
David Joyner

Course Developer

David Joyner completed his Ph.D. in Human-Centered Computing at Georgia Tech specializing in delivering automated feedback and assessment to students in exploratory learning environments. He joined Udacity to develop exercises, projects, and (one day!) entire courses that adapt to the learner's ability and progress.

Luis Serrano
Luis Serrano

Course Developer

With a PhD in Mathematics from the University of Michigan, Luis has worked as a mathematical researcher and university professor and as a Machine Learning engineer at Google, where he applied predictive algorithms to generate recommendations for YouTube

Sebastian Thrun
Sebastian Thrun


Scientist, educator, inventor, and entrepreneur, Sebastian led the self driving car project @ Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.

Vincent Vanhoucke
Vincent Vanhoucke


Vincent Vanhoucke is a Principal Research Scientist at Google, working with the Google Brain team on deep learning research and infrastructure. He completed his Ph.D. at Stanford University on speech recognition, and now focusses his research on image and video understanding as well as mobile and robotic perception.

Katie Malone
Katie Malone


An experimental physicist by training, Katie first got interested in machine learning by using it to search for new particles like the Higgs boson. Since nobody should need a PhD in physics to play around with machine learning, though, she leapt at the chance to teach others about using data analysis to solve interesting problems. When not discovering new particles or teaching, she’s usually trail running or bribing her deskmate’s dog with treats.

What You Will Learn

Skills Covered
  • Introduction to Programming
  • Descriptive Statistics
  • Linear Algebra
  • Inferential Statistics
  • Evaluation and Verification
Show More

In order to succeed, we recommend having experience using the web, being able to perform a search on Google, and (most importantly) the determination to keep pushing forward!

Need to Prepare?

Prior programming experience is not required.

  • Lesson 1

    Introduction to programming

    Concepts of Python programming. Configuration of development environment. Standard library functions. Variables and strings. Functions, control flows and loops. Structured data: list and for loops; how to fix the problem

  • Lesson 2

    Descriptive Statistics

    Research methods and visualization of data. Concentration trends. Variability and standardization. Normal distribution and sampling distribution. Statistical tests: hypothesis test, T test, ANOVA, chi-square test. Regression and correlation

  • Lesson 3

    Inferential Statistics

    Data analysis process: Learn how to use data to answer questions. NumPy and Pandas operations for one-dimensional data. NumPy and Pandas operations for two-dimensional data. Data modelling: Understand the basic types of data and learn how to handle data sets

  • Lesson 4

    Evaluation and verification

    Learn how to use the accuracy rate or recall rate and other indicators to test and measure to improve performance.

Projects that you will build

Explore Bikeshare Data
Project 1

Explore Bikeshare Data

You will perform data wrangling to unify the format of data from the three systems and write code to compute descriptive statistics

Analyze a Perceptual Phenomenon
Project 2

Analyze a Perceptual Phenomenon

Compute descriptive statistics and perform a statistical test on a data set based on a psychological phenomenon, the Stroop Effect.

Explore the dataset
Project 3

Explore the dataset

Select a data set and use Pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.

Forecast Prices
Project 4

Forecast Prices

In this project you will build a model that can predict Boston housing prices.

Start Learning

Start Learning

7 days refund; no questions asked
Admission Closes: 22nd Feb
Total Seats: 100
Time to Complete: 3 months
Prerequisite: Prior programming experience is not required.
Offer: Get ₹4000 credit on completion of the Machine Learning Foundation Nanodegree. Use the credit for a new enrollment in any other Nanodegree

Login to Enroll

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 enroll into Machine Learning Foundations Nanodegree?
    Udacity's Machine Learning Foundation Nanodegree is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more! This Nanodegree helps you learn Python and Statistics. It consists of 4 projects and is perfect for beginners in the field of data.
  • What are the prerequisites required for this Nanodegree?
    In order to succeed, we recommend having experience using the web, being able to perform a search on Google, and (most importantly) the determination to keep pushing forward!
  • How long do I have to complete this Nanodegree?
    The Nanodegree is designed for a period of 3 months. You are required to complete the Nanodegree within the stipulated period.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of the Machine Learning Foundations Nanodegree, 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?
    Successful completion of this Nanodegree requires that you submit all projects by the last day of the Nanodegree, and that you successfully pass all projects, as determined by a Udacity Reviewer. (Note: the review may take place after the last day of the Nanodegree, but you must make your final submission no later than the last day of the Nanodegree). Passing a project means a Udacity Reviewer has marked a project as "Meets Specifications."
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10-12 hours per week throughout the entire Nanodegree, to complete this Nanodegree on time. This is an average so that some students may require more than the allotted time frame, or less.
  • 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 this Nanodegree if you are able to 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 jobs will it prepare me for?
    Machine Learning Foundation is a Foundation level Nanodegree. This will prepare you to take Machine Learning Basic and Machine Learning Advance Nanodegree which aim to make you job ready.
    Student Support
  • What is the kind of student support I will get during this program?
    Students were having queries regarding course material or the projects can be solved by various support services provided by Udacity such as:
    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.
  • 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

Machine Learning Foundation

Make Predictive Models

Need help with Nanodegree Enrollment?1800-121-6240
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