SQL for NFL Data Analysis

Focused View

Judy Adabie

2:12:25

20 View

1. Introduction to SQL and NFL Data

1. Introduction.mp4

02:01

2.1 Microsoft SQL Server Express.html

2.2 Microsoft SQL Server Management Studio.html

2. SQL Server Installation.mp4

04:27

3.1 NFL DB.zip

3. NFL Database Installation.mp4

01:21

4. Understanding the NFL Data Schema.mp4

03:54

2. Basic SQL for Data Retrieval

1. SELECT statements for retrieving data.mp4

05:11

2. Filtering and Ordering data with the WHERE and ORDER BY Commands.mp4

05:26

3. Additional Example Queries.mp4

03:37

4. Writing Queries.html

3. Aggregating NFL Data

1. Grouping results with GROUP BY.mp4

04:37

2. Using aggregate functions (SUM, AVG, MAX, MIN) for statistics.mp4

12:11

3. Writing Grouping Queries.html

4. Filtering aggregated data with HAVING.mp4

04:25

Files.zip

4. Joins and Relationships and building new datasets

1. Using JOIN operations to combine data from multiple tables.mp4

08:56

2. Creating Tables - Temp Tables and SELECT INTO.mp4

04:47

3. Sub Queries to Pull in Additional Information.mp4

12:12

4. Common table expressions (CTEs) for complex queries.mp4

05:37

Files.zip

5. Advanced SQL Techniques

1. Window functions for ranking and partitioning data.mp4

04:08

2. Handling missing or incomplete data.mp4

02:41

6. Creating Your Own Projection for a New Season

1. Pulling play data from the previous season.mp4

11:02

2. Pulling Player Data from the previous season.mp4

11:09

3. Dealing with Rookies in Projections.mp4

06:54

4. Combining our Projection Datasets.mp4

14:05

5. Adjusting our projections for the season and saving projections.mp4

03:44

Files.zip

Description

Use SQL to answer your NFL play questions

What You'll 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 is this for?

Beginner SQL students

Daily Fantasy players

Fantasy Football players

Data Analysts

Anyone interested in basic data analysis

What You Need to Know?

No programming Experience needed! You just need a computer.

More details

Description
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 Data
Overview of NFL data sources
Understanding the NFL data schema
Installing and setting up the database
Module 2: Basic SQL for Data Retrieval
SELECT statements for retrieving NFL data
Filtering data with WHERE clauses
Sorting and grouping results
Module 3: Joins and Relationships
Understanding the relationships between NFL tables
Using JOIN operations to combine data from multiple tables
Handling missing or incomplete data
Module 4: Aggregating NFL Data
Using aggregate functions (SUM, AVG, MAX, MIN) for statistics
Grouping data with GROUP BY
Filtering aggregated data with HAVING
Module 5: Advanced SQL Techniques
Subqueries for nested queries and advanced filtering
Window functions for ranking and partitioning data
Common table expressions (CTEs) for complex queries
Module 6: NFL Data Analysis Projects
Working on real-world NFL data analysis projects
Formulating and executing SQL queries to answer specific questions
Data visualization with SQL or exporting data for external visualization tools
Module 7: Database Maintenance and Optimization
Indexing for improved query performance
SQL best practices for maintaining the NFL database
Backing up and restoring the database
Module 8: Presentation and Reporting
Creating data visualizations using SQL or external tools
Communicating findings effectively
Creating a final NFL data analysis project
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.

Who this course is for:
Beginner SQL students
Daily Fantasy players
Fantasy Football players
Data Analysts
Anyone interested in basic data analysis

User Reviews

Rating

average 0

Total votes0

Focused display

Judy Adabie is a dynamic and data-driven individual with a deep passion for sports and data analysis. they have always been fascinated by the world of sports and the power of data in uncovering hidden insights.Judy Adabie holds a Master of Science in Analytics from Villanova, where she honed their analytical skills and developed a strong foundation in data analysis. Her academic journey gave them the knowledge and tools to approach complex problems with a critical and data-driven mindset.Beyond their professional life, Judy Adabie is a dedicated sports enthusiast. Every day, they eagerly follow their favorite sports teams and athletes, staying up-to-date with the latest games, scores, and news. Whether it's basketball, soccer, football, or any other sport, their passion is unwavering.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.