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Introduction to Data Science


Learn one of the most battle-tested, internationally-recognized processes for solving data-science problems. Upon completing this course, you’ll have a reliable system for tackling data challenges, as well as the skills & know-how to share your findings with the world.

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  • Estimated time
    20 hours

  • Enroll by
    October 12, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python, SQL, Statistics, Machine Learning
In collaboration with
  • Bertelsmann
  • Appen
  • IBM Watson
  • Insight
  • Kaggle
  • Starbucks

What You Will Learn

  1. Introduction to Data Science

    20 hours to complete

    Data Science as a practice spans a staggering variety of industries, each of which has its own methods for working with data. To succeed professionally as a Data Scientist, you need a consistent methodology that will translate across different fields. In this course, you’ll learn the most widely-used system for conducting data science, as well as how to publish your work online so others can learn from and build on it.

    Prerequisite knowledge

    1. The Data Science Process

      Apply the CRISP-DM process to business applications and wrangle, explore and analyze a dataset.

      • Communicating with Stakeholders

        Implement best practices in sharing your code and written summaries and learn what makes a great data science blog.

        • Course Project: Write a Data Science Blog Post

          In this project, you will choose a dataset, identify three questions and analyze the data to find answers to these questions. You will create a GitHub repository with your project and write a blog post to communicate your findings to the appropriate audience. This project will help you reinforce and extend your knowledge of machine learning, data visualization and communication.


        Introducing new Udacity Single Courses

        Our students asked and we listened. You can now get the in-demand tech skills you need faster and for less money by enrolling in one of our new, one-month Single Courses. You’ll get the specific job-ready skills you need in as little as four weeks and for a fraction of the cost.

        Of course if you are looking for a more robust, in-depth education, you can still enroll in one of our 3-6 month Nanodegree programs.

        Both programs are part-time and online, and they both offer 24/7 support, quality Udacity-produced content, courses created with the help of top tech companies, and more. You can always start with a Single Course and upgrade to a full Nanodegree program if you like.

        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.

        • Workspaces

          Validate your understanding of concepts learned by checking the output and quality of your code in real-time.

        • 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.

        Course offerings

        • Class content

          • Real-world projects
          • Project reviews
          • Project feedback from experienced reviewers
        • Student services

          • Technical mentor support
          • Student community

        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

          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.

        • Luis Serrano


          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


          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.

        Introduction to Data Science

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        Introduction to Data Science

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