
Learning Data Science
Whether you are a student, a parent, or anyone interested in building your data science skills, the resources below can help you better engage in our increasingly data-driven world or build valuable professional skills.
To start your data science education journey, consider first building an understanding for what data science is, then identify your goals for applying data science in your studies, work or daily life, and pick the tools you need to learn.
Find the learning resources that are right for you below.
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25 resources found
Coursera
Coursera offers full courses taught by leading professors and experts in the field. Courses include lectures and graded assignments, and topics include data science basics, introductions to different programming languages, data visualization, and practical applications. Students can earn academic credits or professional certifications for completing courses.
Grade:
College, Professional
Category:
Full Course, Software Training
DataCamp
DataCamp has a deep catalog of courses focused on everything data-related: an introduction to data literacy, visualization methods, spreadsheet skills, and machine learning. DataCamp also offers courses to learn coding and practice in platforms including Tableau, R, and Python. All coding is done within the DataCamp browser so there is no need to install any external platforms.
Grade:
9-12, College, Professional
Category:
Mini Course, Full Course, Software Training
HAI LABS
HAI LABS is a practical self learning web application for students to explore and gain access to data science activities and projects. Students will have an increased understanding of data science and data literacy by applying the math and science that they learn in class to HAI LABS activities.
Grade:
6-8
Category:
Mini Course, Software Training
Crash Course Data Literacy Study Hall
Crash Course Data Literacy is a 15-video series that explores data literacy fundamentals. By the end of the course, students will be able to define foundational statistical concepts, explain methods for visualizing data, locate datasets, analyze data, and recognize ethical issues connected to data interpretation.
Grade:
6-8, 9-12, College, Professional
Category:
Mini Course
Calling Bullshit: Data Reasoning in a Digital World
Calling Bullshit is a syllabus offered by the University of Washington. The syllabus includes a 12 week long reading list that is dedicated to helping learners develop the skills needed to identify bullshit through the use of data interpretation, visualizations, and more.
Grade:
College
Category:
Full Course
Google Machine Learning Crash Course
Google's Machine Learning Crash Course is a self-study resource for students to learn and apply fundamental machine learning concepts and get real-world experience with an associated Kaggle competition. It features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Grade:
Professional
Category:
Full Course
Khan Academy
Khan Academy offers free online courses featuring videos and interactive practice questions on a wide range of data literacy topics. The options include introductory data fundamentals for early learners, 2nd, and 3rd grade; statistics, probability, and modeling courses for middle school learners; and full statistics and computer science courses for high school and college students.
Grade:
K-5, 6-8, 9-12, College
Category:
Mini Course, Full Course