How long does Prediction Models with Sports Data take to complete?

This course takes approximately 33 hours to complete.

What level is Prediction Models with Sports Data?

Prediction Models with Sports Data is a Intermediate level data science and AI course offered by Coursera.

What career roles is Prediction Models with Sports Data relevant for?

The skills and techniques in Prediction Models with Sports Data are most relevant for Data Scientist positions and other data science career paths.

Prediction Models with Sports Data - Intermediate | Coursera | Data Science & AI Course

Description

Youngho Park

Stefan Szymanski

In this course the learner will be shown how to generate forecasts of game results in professional sports using Python.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Prediction Models with Sports Data are most similar to the requirements found in Data Scientist data science job advertisements.

Similarity Scores (Out of 100)

Learning Sequence

Prediction Models with Sports Data is a part of one structured learning path.

Coursera

University of Michigan

5 Courses 7 Months

Sports Performance Analytics

All Learning Paths

Prediction Models with Sports Data - Intermediate Data Science Course

Description

Career Relevance by Data Role

Learning Sequence

Sports Performance Analytics

Fast Facts

Structure

Data Science Tools and Techniques Covered

Similar Opportunities

Forecasting: Principles and Practice

Designing Forecasting Pipelines for Production

Master Time Series Forecasting with R: Analyze & Predict

Judgmental Business Forecasting in Excel

Excel Time Series Models for Business Forecasting

GARCH Models in R

Forecasting Product Demand in R

Forecasting in R

Data-Driven Forecasting for Sustainability

Select Learning Source