/ Sports Analytics & AI Course

Learn How to Become an Elite Data and AI Analyst That Every Team Wants to Hire

In just eight weeks, you’ll develop the skills necessary to excel as a data analyst in sports, straight from a pioneer in sports analytics.

To work in sports analytics and AI requires knowledge of the tools teams use to collect player data, parse with SQL, unify with Databricks, apply data science with Python and R, evaluate results with GenAI, and story tell with visualizations. These skills are the foundations of AI analytics for all sports and the focus of our 8-week online course led by sports analytics pioneer Ari Kaplan. Sports analytics roles require the skills taught here!

NEXT START DATE: January 12
Weekly Live Interactive Zoom Chats with Ari Kaplan

NEXT START DATE:
January 12

Weekly Live Interactive Zoom Chats with Ari Kaplan

MONDAYS 6:30 pm PT 9:30 pm ET TUESDAYS 2:30 am GMT
8-week online course
Access to SMWW network
Resume enhancement
Ongoing career advice
Class size limited to 15 students

Mentors

Chania

TAKE THE FIRST STEP

Learn More About Becoming a Sports Analytics and AI Student

We want to help you find the right course for your career. Fill out the form below and an SMWW Career Counselor will follow up directly with you.

Text me with news and offers

CONNECT WITH A CAREER COUNSELOR

The SMWW Team will contact you
within two business days.

What You Can Expect from our Sports Analytics & AI Course

Sports teams are rapidly hiring people with skills in analytics, artificial intelligence, and machine learning because data now drives every major decision in modern sports.

Knowing SQL, Python, and R is the baseline. To stand out, you need additional skills in AI, GenAI, predictive modeling, visualization, and the data platforms teams use every day. This course teaches all of these using real sports data from MLB, F1, soccer, and more.

You’ll learn how teams turn raw data into AI-powered insights that influence scouting, roster moves, player evaluation, performance analysis, and business strategy.

Our 8-week Sports Analytics & AI course pairs perfectly with sport-specific analytics programs because it focuses on the technical side of analytics — the methods and workflows used across:

  • On-field performance and scouting
  • Front-office decision making and roster construction
  • Business analytics, ticketing, marketing, and fan engagement

 

Teams consistently look for analysts with skills in SQL, Python, R, Databricks, machine learning, visualization, and GenAI, and this course is built to help you master them.

Sports analytics and AI are now core requirements for landing data roles in professional sports — not optional extras.

Week-by-Week Course Overview

Week 1: Value of analytics and AI across sports
How teams in MLB, NBA, NFL, F1, soccer, and more are using data, analytics, and AI today – and where the industry is heading.

Week 2: AI end-to-end walkthrough from data to insights
Follow a full workflow: raw data → machine learning → visualization → decision support.

Week 3: Fundamentals of AI, Machine Learning, and Data Intelligence Platforms
Core ML concepts used in sports: regression, classification, clustering, model evaluation, and how they’re applied to player evaluation and performance prediction.

Week 4: Sports data and technology deep dives
How teams track players, capture biomechanics and movement, and turn tracking, sensor, and video data into competitive advantages.

Week 5: Data Management with SQL
Cleaning, joining, filtering, and preparing real sports datasets to make them usable for analysis and modeling.

Week 6: Programming with Python
Building models, automating workflows, engineering features, and answering real sports questions with Python.

Week 7: Analysis with R and visualizations
Using R for statistical modeling and building clear, compelling visualizations for coaches, scouts, and executives.

Week 8: GenAI for sports, automating and operationalizing AI with MLOps
How GenAI is being used in sports today — from summarizing scouting reports to querying 3D motion-capture data in plain English — plus how teams operationalize AI models over time.

This curriculum mirrors how elite teams actually work: from data engineering and coding to AI-powered insights that non-technical decision-makers can use.

 

Jobs You’ll Be Qualified For After Completing the Sports Analytics & AI Course

Completing this course equips you with the most in-demand technical skills in modern sports—SQL, Python, R, machine learning, AI/GenAI, and advanced data visualization—making you a strong candidate for roles across on-field analytics, front-office decision support, sports science, business intelligence, and sports technology companies.

Below are the most common and realistic job titles students pursue after the program:

On-Field & Performance Analytics Roles

  • Sports Data Analyst – Analyzes player performance, game data, and opponent tendencies to support coaching and scouting decisions.
  • Player Evaluation Analyst – Uses metrics, models, and projections to assess player value and contribute to roster decisions.
  • Scouting Analyst / Recruitment Analyst – Supports scouting departments by identifying and evaluating talent using statistical and machine learning methods.
  • Performance Science Analyst – Works with sports science staff to monitor workload, biomechanics, wearables, and injury-risk modeling.
  • Game Strategy & Tactics Analyst – Builds matchup analyses, lineup optimization models, and game-planning tools.
  • Video Data Analyst – Integrates video, tracking data, and event data using Python, R, or AI-driven tools.

Front Office & Operation Roles

  • Operations Analyst – Provides analytical support to front offices across sport-specific decision-making.
  • Salary Cap & Contract Analyst – Models contract structures, draft pick value, roster scenarios, and long-term cap impacts.
  • Research & Development Analyst (R&D) – Works on long-term analytics projects, new metrics, and predictive models for team decision-makers.

Business & Revenue Analytics Roles

  • Business Intelligence Analyst (Sports BI) – Analyzes CRM, ticketing, sponsorship, and sales data to drive organizational revenue.
  • Marketing & Fan Insights Analyst – Uses data to understand fan behavior, digital engagement, and segmentation.
  • Ticketing & Pricing Analyst – Supports dynamic pricing models and demand forecasting for ticket sales.
  • Sponsorship Analytics Manager – Measures sponsorship value, partnership ROI, and brand performance.

Sports Technology & Data Vendor Roles

  • Sports Data Scientist / Junior Data Scientist – Builds models and analytics tools for sports technology companies.
  • Data Engineer (Sports Tech) – Manages ETL pipelines, databases, and real-time data feeds used by teams.
  • AI/GenAI Sports Analyst – Applies AI and GenAI tools to automate scouting, analysis, and content creation.
  • Sports Product Analyst – Supports analytics products used by teams via companies like Hudl, Catapult, TrackMan, Hawk-Eye, Second Spectrum, StatsBomb, and TruMedia.

Sports Media, Betting & Fan Engagement Roles

  • Sports Betting Analyst / Quantitative Analyst – Builds predictive models for sportsbooks, fantasy platforms, or integrity monitoring.
  • Sports Research Analyst (Media/Broadcast) – Supports broadcasters and digital platforms with data insights and storytelling.
  • Predictive Modeling Specialist – Creates forecasting models for betting, fantasy, and fan engagement products.

Skills You Will Learn in Sports Analytics & AI

Sports Analytics and AI are among the most in-demand job skills across modern sports organizations. According to feedback from teams Ari works with, pro clubs consistently require four core skills:

  • SQL
  • Python
  • R
  • AI / Machine Learning

 

These are the main focus of the course — but we don’t stop there.

You’ll also learn the foundations of:

  • Data management & cleaning
  • Data lakehouses & data intelligence platforms
  • Feature engineering & model building
  • Visualization & communication of insights
  • GenAI applications for scouting, video, text, and performance analysis

 

We walk through real examples of how sports organizations turn data into action in MLB, NBA, NFL, F1, NASCAR, EPL, MLS, and NHL.

Imagine your resume showcasing an endorsement from Ari Kaplan plus hands-on experience with these skills:

  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • SQL
  • R
  • Python
  • Databricks
  • GenAI
  • Data Intelligence Platforms
  • Data Lakehouses
  • Orange.ai
  • Visualizations (Tableau and Python/R tools)
  • Linear Regression
  • Predictive Modeling
  • Classification Modeling
  • Text Analysis
  • Image / Video Analysis
  • Sports Motion Capture Solutions
  • Scouting Analytics


By the end of the course, you’ll have practical familiarity with exactly the tools and methods that sports teams use in their analytics and AI departments.

Teams want analysts who can code, build models, and communicate insights — this course is built to teach all three.

A More Personal, Interactive Learning Experience

Unlike most online classes, this program is built around live, interactive Zoom video chats directly with your course mentor, Ari Kaplan.

In these weekly sessions, you’ll:

  • Follow along as Ari code live in SQL, Python, and R
  • See real sports datasets and workflows
  • Ask questions in real time
  • Get feedback on your ideas and projects


You don’t have to be an experienced programmer — Ari often shares his screen, explains each step, and then gives you the code so you can review and learn at your own pace.

Direct mentorship from a top analytics mind makes it much easier to go from theory to real-world application.

Sports Analytics & AI vs. Other Analytics Courses offered by SMWW

At Sports Management Worldwide, we offer five sport-specific analytics courses in:

  • Hockey
  • Soccer
  • Baseball
  • Football
  • Basketball


Those courses focus on:

  • How analytics is used across roles (GM, scouts, coaches, performance staff)
  • Sport-specific metrics, models, and decision processes
  • How organizations collect, manage, and use data and vendor tools


The Sports Analytics & AI course is the technical companion to those programs. It provides a deeper, more hands-on look at:

  • R, SQL, Python
  • Data science workflows
  • AI and GenAI in sports
  • Visualizations and reporting
  • Modern sports data platforms (Databricks, DataRobot, Orange.ai)


Sport-specific courses teach the game and context; this course teaches the coding, modeling, and AI that power full-time analytics roles.

Students who complete both types of courses are uniquely positioned to succeed in front offices and sports analytics departments.

Meet Your Course Mentor

Ari Kaplan

Ari Kaplan is one of the most influential figures in sports analytics, with more than 30 seasons in MLB and a global reputation across sports and Fortune 500 companies.

Ari’s combination of elite sports experience and Fortune 500-level analytics leadership is unmatched in the industry.

 

  • Built the Chicago Cubs, Los Angeles Dodgers, and Baltimore Orioles’ analytics department
  • Worked with over half of all MLB organizations
  • Consults with McLaren F1, IndyCar, IMSA, and USTA
  • Advises EPL and international soccer clubs
  • Keynote AI speaker at Databricks global summits
  • 2025 Data and AI Leader of the Year (Influencer) award
  • Caltech’s “Alumni of the Decade” for pioneering sabermetrics
  • Named “Top 10 GM Candidate” by Sports Illustrated
  • Featured on CNN, Chris Matthews, Today Show, and History Channel
  • Best-selling author of five books on sports analytics, sports databases, and baseball

 

Taking this course is like getting a personal weekly meeting with one of the smartest and most respected minds in sports analytics.

Our ability to generate stats has gotten way ahead of our ability to make any sense of it… It's going to take a lot of work by people like Ari Kaplan before we understand what all this means.
- Bill James, father of Sabermetrics 

Resume Redesign Service

Acquiring the technical skills necessary for your dream sports career is only one step. You still need to present your skills in a way that stands out in a crowded applicant pool.

At SMWW, we will:

  • Help you rewrite your resume around your new analytics & AI abilities
  • Make sure your experience and projects speak directly to front office and analytics hiring managers
  • Include that you have been mentored and trained by Ari Kaplan
  • Optimize your resume and online profiles for recruiters searching for sports analytics talent


Our goal is not just to teach you — it’s to help you get noticed and hired.

Course Certificate & Resume Reference:

Successful graduates of the Sports Management Worldwide courses will be sent an SMWW Certificate of Accomplishment. This certificate represents not only your achievements in the course but also demonstrates your personal commitment to self-improvement and the ability to "self-train" yourself for higher positions within the sports business industry.

Course Details

Weekly Interactive Zoom Video Chats: A unique aspect of each 8-week course is the opportunity for students to participate in weekly, interactive zoom video chats with Ari Kaplan, Dr. Lynn Lashbrook, fellow students, and renowned guest speakers. This is a tremendous opportunity to network within the sports industry by getting to know Ari Kaplan and fellow students personally. This allows ample opportunity to network, ask questions, and discuss aspects of the course openly with instructors and fellow classmates. The interactive zoom video chats are available via any online computer with a microphone. If you are unable to attend the chats, they are archived and you can listen at a more convenient time. These chats are so popular that graduates continue to come back and participate to enhance their opportunities. 

Online Education: This innovative academic course is facilitated through a Web-based educational delivery system. You will enjoy the online discussion boards, weekly readings, weekly quizzes, course projects, and interaction amongst fellow sports business-minded students and faculty. The course content is the foundation for a successful career as a sports agent.

Global Participation: SMWW students participate from over 162 countries. Courses have an international influence and instructors will cater assignments to specific countries or leagues. Countries with economic challenges are eligible for economic discounts.

University Credit Available: For additional fees to Fort Hays State University in Kansas, you may receive graduate or undergraduate university credit for Sports Management Worldwide's courses. Click here for more information.

Sports Career Conferences: Throughout the year, Sports Management Worldwide hosts Sports Career Conferences at a variety of sporting events. These are fabulous networking events that put SMWW alumni in the heart of the action. Opportunities to meet head coaches, gm's, player personnel, scouts, and fellow sports agents are facilitated. Visit SMWW Sports Career Conferences to learn more. SMWW alumni receive discounts.

Advanced Certificates: Want to take your career to the next level? Our Advanced Certificates have been hand-selected by our team of sports industry experts to put you on a path to success. These bundles allow you to take advantage of our biggest discount available, by bundling multiple courses and becoming an expert in that field. Learn more about our Advanced Certificates here.

Military Discount: For those individuals who represent their country in military service, (active, reserve, or retired) we offer a discount. Thank you for serving your country! For more information on the Military Discount please Click Here.

Tax Write Off (For USA Citizens): SMWW course tuition, books, and supplies can be used for education tax credits. Save your receipts and consult with your tax advisor on how this applies to you.

THREE MONTHLY PAYMENTS OF $550

Or a single payment of $1,650

Includes all course textbooks and access to a web-based classroom. Shipping is additional.

PRICE IN  
APPROXIMATELY $1650

If we offer an economic discount in your country, it is included in the estimate above. Exact pricing including the discount is shown before you complete checkout. Payment plan options are provided during checkout.

PAYMENT METHODS:
Prerequisites: Must be 18 or older to participate and have a passion for sports.
CALL TODAY: 1-877-SMWW-NOW
(In the UK: 087 12884799)

SMWW’s Industry Leading Courses Featured In: