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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-for-sports/
课程评论：没有评论
Coursera 课程：体育数据科学 - 运动分析与可视化 这门课程由 The Click Reader 创建，旨在带领学员深入了解体育分析的世界。通过 Python，学员将学习如何对体育数据进行分析并进行可视化。 **课程内容概述：** * **2018 NFL 赛季回顾：** 从 2018 年 NFL 赛季的比赛入手。 * **球员统计分析：** 深入了解该赛季的球员数据，理解球员表现。 * **NFL 赛季比赛分析：** 分析 NFL 赛季中的具体比赛。 * **数据可视化项目：** 课程的最后将通过一个项目，可视化美式橄榄球赛场和球员。 **学习目标：** * 能够利用各种可用数据集进行操作。 * 能够以不同方式可视化数据。 * 掌握将学到的知识扩展到其他体育领域。 **课程亮点：** * **更新的课程内容 (2022)：** 内容采用最新的技术和工具。 * **实践操作知识：** 注重一步一步的实现指南，而非单纯的理论。 * **指导支持：** 提供问答支持，解答学员的疑问。 该课程包含每节课后的动手练习，旨在为学员提供扎实的实践技能。
Are you a fan of sport but also interested in the numbers? Deep dive into the world of sports analytics with this course on 'Data Science for Sports - Sports Analytics and Visualization', created by The Click Reader. This course provides insights and knowledge into how you can perform analysis on sports data and then, visualize it using Python. We will start the course by looking at the games in the 2018 NFL season. Then, we will move on to look at the player statistics in order to understand the players in the season. We will also look at the plays of the NFL season and finally, end the course by building a data visualization project where we will be visualizing the American Football Field and players on top of it.After completing this course, you will be able to play around with the various available datasets and visualize them in different ways. This course contains hands-on exercises at the end of each lecture and the knowledge you gain through this course can be extended to any other domain of sports. Why you should take this course?Updated 2022 course content: All our course content is updated as per the latest technologies and tools available in the marketPractical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.
