Sports Science Courses

Introduction to Computer Science and Programming (Fall 2008)

2 ratings

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.

• MIT OpenCourseWare
• 20 hours
• Self-Paced
• Free Video

Mathematics for Computer Science

2 ratings

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.

• MIT OpenCourseWare
• 33 hours
• Self-Paced
• Free Video

Career Certificate

Journey into Data Science with Python

1501 ratings at CodeSignal

Master Python-based data science essentials, from NumPy and Pandas to machine learning, through hands-on projects with real datasets like Titanic and airline data. Build practical skills in visualization, preprocessing, and predictive modeling.

• CodeSignal
• 28 hours
• Self-Paced
• Free Certificate
• 7 courses

Matthew Walker Teaches The Science Of Better Sleep

1 rating

Learn how to prevent sleep debt, navigate the effects of alcohol and caffeine, and improve your health.

• MasterClass
• 3 hours 12 minutes
• Self-Paced
• Free Trial Available

Career Certificate

Sports Performance Analytics

280 ratings at Coursera

Learn to analyze sports data, predict performance, and apply machine learning techniques using real datasets from MLB, NBA, NHL, EPL, and IPL to revolutionize athlete and team strategies.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Rocket Science 101

62 ratings at Coursera

Explore rocketry history, orbits, engines, and space missions. Analyze Hollywood's space travel depictions and discover real-world applications of rocket science.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Understanding Data: Navigating Statistics, Science, and AI

59 ratings at Coursera

Develop data literacy skills to critically evaluate statistics, scientific research, and AI claims. Enhance decision-making abilities and learn to support perspectives with quality information.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Translational Science

44 ratings at Coursera

Explore the four stages of translational research, from lab discoveries to healthcare policy implementation, and learn how to improve individual and community health outcomes.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Career Certificate

More Applied Data Science with Python

21 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Data Science for Health Research

15 ratings at Coursera

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Foundations of Sports Analytics: Data, Representation, and Models in Sports

Explore Python-based sports analytics techniques to analyze team and player performance across major leagues, focusing on regression analysis and data representation methods.

• Coursera
• 2 days 1 hour 24 minutes
• Self-Paced
• Paid Course

How Science Turns Data Into Knowledge

Evaluate scientific claims, understand research methods, and interpret statistical results critically. Gain skills to analyze science news and develop a nuanced perspective on data and information.

• Coursera
• 11 hours 2 minutes
• Self-Paced
• Paid Course

Introduction to Translational Science

Learn about translational science, turning lab and clinical observations into health interventions. Explore research stages, team roles, rigorous practices, and career opportunities in this growing field.

• Coursera
• 12 hours 35 minutes
• Self-Paced
• Paid Course

Prediction Models with Sports Data

Learn to forecast sports game outcomes using Python, focusing on logistic regression modeling with team expenditure data. Apply and evaluate models for EPL, NBA, and NHL, exploring betting odds and analytics.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course