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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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04Days08Hrs49Min18Sec

  • Estimated time
    4 Months

    At 10 hrs/week

  • Enroll by
    November 30, 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

    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

    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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