SQL for NFL Data Analysis
SQL for NFL Data Analysis, available at $44.99, with 21 lectures, 2 quizzes, and has 3 subscribers.
You will learn about How to use basic SQL to answer NFL data questions SQL commands and statement structure How to filter data with SQL How to join tables for more information Updating a table with your own fantasy scoring system How to group data This course is ideal for individuals who are Beginner SQL students or Daily Fantasy players or Fantasy Football players or Data Analysts or Anyone interested in basic data analysis It is particularly useful for Beginner SQL students or Daily Fantasy players or Fantasy Football players or Data Analysts or Anyone interested in basic data analysis.
Enroll now: SQL for NFL Data Analysis
Summary
Title: SQL for NFL Data Analysis
Price: $44.99
Number of Lectures: 21
Number of Quizzes: 2
Number of Published Lectures: 21
Number of Published Quizzes: 2
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Original Price: $119.99
Quality Status: approved
Status: Live
What You Will Learn
- How to use basic SQL to answer NFL data questions
- SQL commands and statement structure
- How to filter data with SQL
- How to join tables for more information
- Updating a table with your own fantasy scoring system
- How to group data
Who Should Attend
- Beginner SQL students
- Daily Fantasy players
- Fantasy Football players
- Data Analysts
- Anyone interested in basic data analysis
Target Audiences
- Beginner SQL students
- Daily Fantasy players
- Fantasy Football players
- Data Analysts
- Anyone interested in basic data analysis
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:
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Understand the structure and sources of NFL data.
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Learn SQL syntax and commands for querying NFL data.
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Develop the ability to formulate SQL queries to answer specific NFL-related questions.
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Gain hands-on experience with real NFL datasets.
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Explore advanced SQL techniques for complex data analysis.
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Create data visualizations to communicate your findings effectively.
Course Outline:
Module 1: Introduction to NFL Data
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Overview of NFL data sources
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Understanding the NFL data schema
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Installing and setting up the database
Module 2: Basic SQL for Data Retrieval
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SELECT statements for retrieving NFL data
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Filtering data with WHERE clauses
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Sorting and grouping results
Module 3: Aggregating NFL Data
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Grouping Results
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Using Aggregate functions – SUM, AVG, MAX, MIN
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Filtering aggregated data with HAVING
Module 4: Joins and Relationships
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Using JOIN operations to combine data
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Creating new tables with SELECT INTO
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Using Sub Queries to pull additional information
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Common Table Expressions (CTE) for complex queries
Module 5: Advanced SQL Techniques
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Window functions for ranking and partitioning data
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Handling missing or incomplete data
Module 6: Creating Your Own Projections for a New Season
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Pulling play and player data from the previous season
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Dealing with Rookie projections in your dataset
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Combining datasets
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Adjusting and saving datasets
The “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:
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Windows 11 (x64)
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Windows 10 (x64) version 1607 (10.0.14393) and later versions
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Windows Server 2022 (x64)
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Windows Server Core 2022 (x64)
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Windows Server 2019 (x64)
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Windows Server Core 2019 (x64)
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Windows Server 2016 (x64) 1
Course Curriculum
Chapter 1: Introduction to SQL and NFL Data
Lecture 1: Introduction
Lecture 2: SQL Server Installation
Lecture 3: NFL Database Installation
Lecture 4: Understanding the NFL Data Schema
Chapter 2: Basic SQL for Data Retrieval
Lecture 1: SELECT statements for retrieving data
Lecture 2: Filtering and Ordering data with the WHERE and ORDER BY Commands
Lecture 3: Additional Example Queries
Chapter 3: Aggregating NFL Data
Lecture 1: Grouping results with GROUP BY
Lecture 2: Using aggregate functions (SUM, AVG, MAX, MIN) for statistics
Lecture 3: Filtering aggregated data with HAVING
Chapter 4: Joins and Relationships and building new datasets
Lecture 1: Using JOIN operations to combine data from multiple tables
Lecture 2: Creating Tables – Temp Tables and SELECT INTO
Lecture 3: Sub Queries to Pull in Additional Information
Lecture 4: Common table expressions (CTEs) for complex queries
Chapter 5: Advanced SQL Techniques
Lecture 1: Window functions for ranking and partitioning data
Lecture 2: Handling missing or incomplete data
Chapter 6: Creating Your Own Projection for a New Season
Lecture 1: Pulling play data from the previous season
Lecture 2: Pulling Player Data from the previous season
Lecture 3: Dealing with Rookies in Projections
Lecture 4: Combining our Projection Datasets
Lecture 5: Adjusting our projections for the season and saving projections
Instructors
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Judy Adabie
Data Engineer
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Frequently Asked Questions
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