This course introduces the essential mathematical, statistical, and data-handling concepts required to work effectively in football analytics. Learners will build a solid foundation by exploring measures of central tendency, variability, probability distributions, standard deviations, and confidence intervals, the core concepts that underpin all analytical reasoning in sport. Through football-specific examples, the course explains when to use different estimators, how to interpret uncertainty, and why choosing the right distribution is critical when modeling performance and match events.
Must-Know Concepts - Basic requirements for data analysis
您将学到什么
Apply key statistical concepts (means, distributions, variability) to football data.
Understand data types (counting, event, tracking, skeletal) and how they shape analysis.
Use Python, APIs, and visualization tools to process and communicate football insights.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
December 2025
作业
8 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Maximum Performance and Technology in Sports 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
Build a solid foundation in the mathematical concepts that are crucial for data analysis. This module breaks down various types of averages, explores common data distributions, and demystifies important measures like standard deviation and confidence intervals—empowering you to interpret data with clarity and precision.
涵盖的内容
6个视频4篇阅读材料2个作业
Explore the diversity of data in today’s analytical landscape. You’ll learn how to distinguish between basic counting and GPS data, understand the nuances of event data from different providers, and discover advanced tracking and skeleton data that add rich context to sports analysis.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
Get hands-on with the tools and techniques that bring data to life. This module introduces you to gathering data through APIs and web scraping, processing it using Python and essential data formats, and transforming raw numbers into compelling visuals with platforms like Tableau, Matplotlib, and Power BI.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
Transform complex analyses into clear, actionable messages. Learn to identify the purpose of your analysis, strike the right balance between detail and simplicity, and use thoughtful chart design to ensure your audience grasps the insights—without being misled.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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