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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-for-nfl-data/
课程评论：没有评论
《NFL 数据分析 SQL 课程》是一门实用型课程，旨在教授学员如何利用 SQL 语言分析海量的 NFL 数据。课程内容涵盖 NFL 数据源的概览、数据模式理解、数据库的安装与设置。学员将学习 SQL 的基本查询语句（SELECT, WHERE, ORDER BY, GROUP BY），以及如何使用聚合函数（SUM, AVG, MAX, MIN）和 HAVING 子句进行数据汇总。 课程还深入讲解了 JOIN 操作以合并不同数据表，以及如何使用 SELECT INTO、子查询和通用表表达式（CTE）来处理复杂的数据需求。此外，高级 SQL 技术如窗口函数（用于排名和分区）和缺失数据处理也将被教授。 最终，学员将能够运用所学知识，通过提取和组合过往赛季的球员及比赛数据，处理新秀数据，并创建自己的赛季预测模型。课程强调动手实践，鼓励学员通过可视化工具来有效传达分析结果。本课程适用于体育分析师、数据爱好者以及 NFL 粉丝，帮助他们深入挖掘 NFL 数据，获得有价值的见解。课程支持 Windows 11/10 及多个 Windows Server 版本。
Course Overview: The "SQL for NFL Data Analysis" course is tailored for individuals interested in gaining practical experience in using SQL to analyze and extract insights from National Football League (NFL) data. The NFL generates a vast amount of data related to games, players, teams, and statistics, making it an ideal dataset for honing your SQL skills. Whether you're an aspiring sports analyst, a data enthusiast, or a football fan, this course will equip you with the tools to delve into the world of NFL data and uncover valuable insights.Course Objectives:Understand the structure and sources of NFL data.Learn SQL syntax and commands for querying NFL data.Develop the ability to formulate SQL queries to answer specific NFL-related questions.Gain hands-on experience with real NFL datasets.Explore advanced SQL techniques for complex data analysis.Create data visualizations to communicate your findings effectively.Course Outline:Module 1: Introduction to NFL DataOverview of NFL data sourcesUnderstanding the NFL data schemaInstalling and setting up the databaseModule 2: Basic SQL for Data RetrievalSELECT statements for retrieving NFL dataFiltering data with WHERE clausesSorting and grouping resultsModule 3: Aggregating NFL DataGrouping Results Using Aggregate functions - SUM, AVG, MAX, MINFiltering aggregated data with HAVINGModule 4: Joins and RelationshipsUsing JOIN operations to combine dataCreating new tables with SELECT INTOUsing Sub Queries to pull additional informationCommon Table Expressions (CTE) for complex queriesModule 5: Advanced SQL TechniquesWindow functions for ranking and partitioning dataHandling missing or incomplete dataModule 6: Creating Your Own Projections for a New SeasonPulling play and player data from the previous seasonDealing with Rookie projections in your datasetCombining datasetsAdjusting and saving datasetsThe "SQL for NFL Data Analysis" course is designed to provide you with the practical skills and knowledge needed to explore and analyze NFL data using SQL. By the end of the course, you'll be equipped to extract valuable insights from the rich world of NFL statistics and contribute to the field of sports analytics.Supported operating systems for Microsoft SQL Server and SQL Server Management Studio:Windows 11 (x64)Windows 10 (x64) version 1607 (10.0.14393) and later versionsWindows Server 2022 (x64)Windows Server Core 2022 (x64)Windows Server 2019 (x64)Windows Server Core 2019 (x64)Windows Server 2016 (x64) 1
