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Data has taken sport by storm.
Data analysis has revolutionised sport, transforming how teams strategise, train, and perform. By leveraging advanced statistics and machine learning, coaches and analysts can now make data-driven decisions that optimise player performance, reduce injury risk, and enhance game tactics.
From tracking player movements in real-time to analysing opponents’ weaknesses, data has become a crucial tool for gaining a competitive edge. Athletes benefit from personalised training programmes based on precise metrics, while teams use predictive analytics to scout talent and devise winning strategies. The rise of sports data analysis marks a new era in athletic performance and sports management.


Certified sports data analyst

What is this Certification?
The Certified Sports Data Analyst certification is an in-depth online course designed to teach coaches and sports professionals how to effectively analyse, visualise, and finally, interpret data to enhance sports performance. This certification covers essential topics like data collection, understanding and cleaning data, analysis methods, performance metrics, visualisation, and applying data-driven insights to enhance player performance and team tactics.
Key Benefits
For coaches, this certification offers valuable benefits by enabling them to make decisions grounded in solid data rather than relying solely on instinct or experience.
Learn from industry experts who are redefining sports performance
Excel your career by levelling up your knowledge and skills
Flexible & on-demand certification that fits around your busy life
Cutting-edge content that translates directly into your practice
Globally-recognised certification that boosts your resume
Mastering sports data analysis allows coaches to fine-tune training programs, minimise injury risks, and craft more effective game strategies. This not only boosts individual athlete performance but also improves overall team success. In a sports world increasingly driven by data, this certification helps coaches stay competitive and advance their careers.
Who is it for?
This certification is perfect for a range of different practitioners and professionals:








All-in-all, this certification suits people who want to leverage data in sports decision-making and performance enhancement.
What you’ll learn
Gain essential knowledge in data analysis, performance metrics, predictive analytics, and sports strategy. Learn from top experts at your own pace and revolutionise your approach to coaching and sports performance.
When you take this innovative new data analysis certification, you’ll learn all about:
Module overview
01:32
The importance of understanding a data set
04:35
Types of data
06:27
Methods for collecting data
10:16
Descriptive statistics and data quality
08:14
Introduction to R & RStudio
06:49
Basic R Syntax & Operations
11:02
Data Structures in R
07:19
Importing & Exporting Data
07:03
Basic Data Exploration & Visualisation
04:44
Applied Practice: Introduction to R & RStudio
02:39
Applied Practice: Basic R Syntax & Operations
03:13
Applied Practice: Data Structures in R
06:00
Applied Practice: Importing & Exporting Data
03:54
Applied Practice: Basic Data Exploration & Visualisation
04:12
Module overview
01:38
Introduction to Data Cleaning
02:47
Why Cleaning Data is Crucial to Data Analysis
06:30
How to Handle Missing Data
05:04
Dealing with Outliers
06:43
Inconsistent and Duplicate Data
08:33
Automation and Understanding Data Types
10:09
Why Analyse Data?
07:46
Organising Data
08:46
Exploring Data Trends
07:13
Drawing Conclusions From Data
09:08
Spotting Relationships In Data
08:26
Hypothesis Testing Basics
06:34
Introduction to Visualising Data
03:35
Choosing your Visualisation Software
21:55
Key Principles & Best Practice
16:28
Types of Charts & Graphs
18:07
Common Mistakes
17:15
Introduction to PowerBi
06:05
Objectives
02:42
The Set Up
21:26
Calculated Columns
08:44
Visualisation And Designing
19:17
Creating Measures
03:45
Conditional Formatting
04:43
Creating Tables & Compare To % Of Game
14:14
Advanced Tips & Tricks: Images and Formatting
08:45
Advanced Tips & Tricks: AC Ratio
08:32
Advanced Tips & Tricks: Weekly Variance
08:55
Advanced Tips & Tricks: Z Scores
07:10
Exporting Your Report & Conclusion
04:48
Introduction To Tableau
04:29
The Set Up
08:34
Designing The Report
12:52
Enhancing Interactivity
08:54
Creating Calculations – Part 1
17:54
Creating Calculations – Part 2
21:49
Longitudinal Analysis – Part 1
15:59
Longitudinal Analysis – Part 2
16:37
$299.00
or $449.00
with SFS Academy
This course includes
8 hours of on-demand video
21 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
What is a Sports Data Analyst?
A Sports Data Analyst uses data analysis, statistics, and machine learning to improve team performance, strategy, and decision-making in sports. Their key roles include:
Player Performance
Analysing player statistics, movements, and health data to optimise training and prevent injuries.
Team Strategy
Using data to refine game tactics and identify opponent weaknesses.
Recruitment
Evaluating player performance and potential using predictive models for scouting and contracts.
Fan Engagement
Enhancing fan experience and business decisions through data-driven insights.
Predictive Analytics
Forecasting game outcomes and future player performance.
Tech Integration
Using wearables and tracking devices to collect real-time performance data.
Become your team’s secret weapon.
Becoming a sports data analyst is a rewarding career for those passionate about sports and data. This role allows you to influence team performance by providing insights that shape tactics, training, and player recruitment. Analysts help managers make informed decisions, improving results on the field.
Additionally, sports data analysts contribute to fan engagement and commercial success by optimising ticket sales, marketing, and enhancing the overall fan experience. Their work directly impacts revenue and helps teams connect with their audience.
With the rise of wearable technology and tracking systems, data analysts are crucial for interpreting data related to player performance, injury prevention, and development. This is an evolving field with growing demand, offering the chance to work at the cutting edge of sports innovation.

Meet the Tutors
This is the line-up of industry experts who will be delivering the Certified Sports Data Analyst certification

Dr. Arian Forouhandeh | MSc BASES
Arian currently works in the English Premier League as the First Team Sports Scientist and Data Analyst for Wolverhampton Wanderers Football Club. His previous roles include Performance Analysis Intern at Nottingham Forest FC, Sport Science Data Analysis for the USA Hockey team, and Loughborough Hockey. Before working with the First Team at Wolves, Arian was a Sports Science and Data Analyst for the U18s.
In addition to all of his practical experience, Arian also holds a Professional Doctorate (DProf) in Strength & Conditioning, a Master’s degree in Exercise Physiology, a Bachelor of Science in Sport and Exercise Science, and a Professional Certificate in Data Science from HarvardX.
He is a bilingual practitioner (English & Spanish) specialising in Sports Performance Data with extensive experience using analytics tools such as Power BI, Tableau, and SQL in elite sport.

Ryan White | PhD Candidate CPT
Ryan White is an accomplished Sports Data Analyst who currently works in the English Premier League for Crystal Palace Football Club. He has also worked at Ajax Cape Town as a S&C coach and Sports Scientist for the academy teams. In addition to his working experience, he is also a PhD candidate at Leeds Beckett University and holds an MSc in Sports Science and a BSc (Hons) in Sport Science & High Performance from Stellenbosch University.
Ryan is a wizard at using advanced data tools to provide critical insights that elevate team and player performance. And if all this was not enough, Ryan is also a dedicated educator, focusing on real-world applications of sports data analytics to empower the next generation of analysts. His technical expertise and experience with elite sports teams make him a respected authority in the field.

Benjamin Klein | MSc CSCS CPSS
Benjamin Klein is a leading sports data analyst with extensive experience working for top organisations such as John Carroll University, Ohio State Wrestling and Lacrosse, FC Cincinnati, UFC, Chicago Bulls, and Michigan State Basketball.
He specialises in data modelling, statistical analysis, and applying sports science to improve team performance. Benjamin’s ability to analyse complex datasets and provide actionable insights has made him a key asset for teams looking to optimize their strategic approaches.
As a tutor, Benjamin excels at breaking down sophisticated concepts into clear, practical lessons for aspiring analysts. His blend of technical skills and deep sports knowledge has earned him a strong reputation in the sports analytics community.
Trusted by the best







Plans & Pricing
No contracts. Cancel any time. 30-day money-back guarantee.
Certification
One-time payment
- Full access to the Sports Data Analyst certification
- 24/7 access
- Learn anywhere at any time
- Certification upon completion
- 24/7 customer support
- 30-day money-back guarantee
Certification + SFS Academy
Certification + 1-year subscription to SFS Academy
- Full access to the Sports Data Analyst certification
- 24/7 access
- Learn anywhere at any time
- Certification upon completion
- 1-year access to SFS Academy
- Access to 130+ online courses
- 24/7 customer support
- 30-day money-back guarantee
Got a question about this certification?
Take a look at our frequently asked questions and see if you get your question answered. If not, please get in touch.
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