Intro to Hockey Analytics

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Course Description

This course introduces students to the field of hockey analytics, exploring the use of data and statistical techniques to assess player performance, team dynamics, and in-game strategies. Students will cover the essentials of hockey statistics, the evolution of advanced metrics in the sport, and the tools used by analysts to gain a competitive edge. The course is suitable for those new to hockey analytics, with no prior experience required.

Through comprehensive lectures, interactive projects, and real-world case studies, students will develop a solid understanding of how data is shaping the future of hockey. By the end of the course, students will be capable of analyzing player data, understanding key performance indicators, and applying analytic techniques to various aspects of the game.

What You’ll Learn?
  • Foundations of Hockey Statistics: Learn key metrics like Corsi, Fenwick, and Expected Goals (xG), along with traditional stats like goals, assists, and plus-minus.
  • Introduction to Hockey Analytics: Explore how analytics are used in scouting, player development, and in-game decision-making in hockey.
  • Data Collection and Analysis Tools: Gain hands-on experience with tools like Python, R, and Tableau to collect, clean, and analyze hockey data.
  • Player Evaluation Techniques: Understand how to assess player contributions in offense, defense, and goaltending using both traditional and advanced metrics.
  • Game Strategy Analysis: Learn how data-driven insights influence coaching decisions, line matchups, and in-game adjustments.
  • Predictive Modeling in Hockey: Get an introduction to predictive modeling techniques for forecasting player performance and game outcomes.
  • Ethical Considerations in Hockey Analytics: Discuss the ethical challenges of using data in hockey, including issues of privacy, bias, and fairness.
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Course Content

Intro to Hockey Analytics
This course introduces students to the field of hockey analytics, exploring the use of data and statistical techniques to assess player performance, team dynamics, and in-game strategies.

  • Foundations of Hockey Statistics
  • Introduction to Hockey Analytics
  • Data Collection and Analysis Tools
  • Player Evaluation Techniques
  • Game Strategy Analysis
  • Predictive Modeling in Hockey
  • Ethical Considerations in Hockey Analytics

A course by

Dave Yount
Dave Yount
Founder & President

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Course Includes:

  • Price:
    $999.99
  • Instructor:Dave Yount
  • Lessons:7
  • Students:0
  • Level:Intermediate
  • Certifications:No
$999.99
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