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Become a Data Scientist

Nanodegree Program

Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career.

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04Days07Hrs49Min02Sec

  • Estimated time
    4 Months

    At 10 hrs/week

  • Enroll by
    July 6, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python, SQL & Statistics
In collaboration with
  • Bertelsmann
  • Figure Eight
  • IBM Watson
  • Insight
  • Kaggle
  • Starbucks

What you will learn

  1. Data Scientist

    Estimated 4 months to complete

    You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.

    If you already have experience with machine learning, take this program.

    Prerequisite knowledge

    We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics.

    1. Solving Data Science Problems

      Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.

    2. Software Engineering for Data Scientists

      Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.

      • Data Engineering for Data Scientists

        Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.

      • Experiment Design and Recommendations

        Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.

      • Data Science Projects

        Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.

    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 Industry
      • 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.

    • Juno Lee

      Data Science Instructor

      As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.

    • Luis Serrano

      Instructor

      Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

    • Andrew Paster

      Instructor

      Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

    • Mike Yi

      Data Analyst Instructor

      Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

    • David Drummond

      VP of Engineering at Insight

      David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.

    • Judit Lantos

      Senior Data Engineer at Netflix

      Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.

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    Become a Data Scientist

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      Best Value
    • Learn

      Work on projects designed by industry experts, build recommendation systems, and deploy solutions to the cloud.
    • Average Time

      On average, successful students take 4 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?
      The data science field is expected to continue growing rapidly over the next several years, and there’s huge demand for data scientists across industries. Data scientist is consistently rated as a top career.
      Udacity has collaborated with industry leaders to offer a world-class learning experience so you can advance your data science career. You’ll get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more. You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data science field.
      By the end of the program, you’ll have an impressive portfolio of real-world projects, and valuable hands-on experience. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful data science career, and land a job you love.
    • What jobs will this program prepare me for?
      Obtaining the skills required to be a Data Scientist will make you extremely valuable across many industries, and in many roles. Data Scientists work as Analysts, Statisticians, Engineers, and more. Some become Data and Analytics Managers, while others specialize as Database Administrators. As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.
    • How do I know if this program is right for me?
      This program offers an ideal path for experienced programmers and data analysts to advance their data science careers. If you’re interested in deepening your expertise in the fields of analytics, machine learning, data engineering, and/or data science, this is a great way to get hands on practice with a variety of techniques and learn to build end to end data science solutions.
    • What is the difference between the Data Analyst, Machine Learning Engineer, and the Data Scientist Nanodegree programs?
      The Data Analyst program is designed for people with some data analysis experience and little-to-no programming experience. Students will learn to analyze data using Python and SQL, to wrangle and clean messy data, to use applied statistics to test hypotheses, and to create data visualizations. Graduates of this program will be prepared for data analyst positions.
      The Data Scientist Nanodegree program is designed for students with strong programming and data analysis skills, as it is the next step for graduates of the Data Analyst Nanodegree program. Students will learn to build machine learning models, run data pipelines, design experiments and recommendation engines, communicate effectively, and to deploy data applications. Graduates of this program will be prepared for data scientist positions.
      The Machine Learning Engineer Nanodegree program prepares students for machine learning engineering careers. As both data scientist and machine learning jobs require machine learning knowledge, each of these two programs begins with a focus on machine learning. The curriculum diverges in later sections as you begin to focus on more job-specific tools, skills, and techniques.
    Enrollment and admission
    • Do I need to apply? What are the admission criteria?
      No. This Nanodegree program accepts all applicants regardless of experience and specific background.
    • What are the prerequisites for enrollment?
      The Data Scientist Nanodegree program is designed for students with programming and data analysis experience. Students should have a high comfort level with a variety of topics before starting the program. In order to successfully complete this program, you should meet the following prerequisites:
      • Python programming, including common data analysis libraries (NumPy, pandas, Matplotlib).
      • SQL programming
      • Statistics (Descriptive and Inferential)
      • Calculus
      • Linear Algebra
      • Experience wrangling and visualizing data
    • If I do not meet the requirements to enroll, what should I do?
      Udacity’s Data Analyst Nanodegree program is great preparation for the Data Scientist Nanodegree program. You’ll learn programming with Python and SQL, applied statistics, data wrangling, and data visualization.
      You can also prepare by taking a number of Udacity’s free courses, such as:
      • Introduction to Data Science
      • Introduction to Python
      • SQL for Data Analysis
      • Statistics
      • Data Visualization with Tableau
    Tuition and term of program
    • How is this Nanodegree program structured?
      The Data Scientist Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.
      Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
    • How long is this Nanodegree program?
      Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
    • Can I switch my start date? Can I get a refund?
      Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
    Software and hardware: What do I need for this program?
    • What software and versions will I need in this program?
      To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.

    Become a Data Scientist

    Enroll today, and start putting your skills to work!

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