Prediction Models with Sports Data
$49
ENROLL NOWCourse Overview
What You'll Learn
- In this course the learner will be shown how to generate forecasts of game results in professional sports using Python.
- The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played.
- The course will show the learner how to evaluate the reliability of a model using data on betting odds.
In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course will show the learner how to evaluate the reliability of a model using data on betting odds. The analysis is applied first to the English Premier League, then the NBA and NHL. The course also provides an overview of the relationship between data analytics and gambling, its history and the social issues that arise in relation to sports betting, including the personal risks.
Course FAQs
Is this an accredited online course?
Accreditation for 'Prediction Models with Sports Data' is determined by the provider, University of Michigan. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Prediction Models with Sports Data' on the University of Michigan online class platform, where you can complete your registration.
