There is a great need for expertise in sports analytics in professional sports.
Organisations are now embracing analytics and technology more than ever.
Athletes are now more aware of the impact of tracking their health and performance data.
Sports Analytics is a growing field, where sports scientists with the skills provided in this course are strongly desired.
This course is designed to provide a basic understanding of sports analytics.
It will provide you with the skills to work in a professional sports organisation.
This course begins with an introduction to the science of movement in sports and different types of key performance indicators that have been evidenced to affect performance.
You will learn which are the most relevant key performance indicators, and how to collect and examine them effectively.
Throughout this process of collecting key performance indicators, you will gain experience in how to leverage wearable technology to capture data such as internal and external load.
Then a foundation in R and Rstudio, statistical software will be provided where you will gain practical experience with basic statistical concepts and predictive analytics.
Then, you will learn how to interpret your findings and translate them into relevant information that players, coaches, and staff can implement to enhance performance.
Fees
COURSE OUTLINES
- Key Performance Indicators
- Module 1: Science of Movement, Anatomy, and Physiology
- Module 2: Physical and Physiological Key Performance Indicators
- Module 3: Psychological and Environment Key Performance Indicators
- Module 4: Comprehensive internal and external load quantification for Load Management
- Wearable Technology
- Module 1: Introduction to Wearable Technology –Non-Feedback and Feedback
- Module 2: Evaluating the performance of Technology: Using Sleep Technology as an example
- Module 3: How to choose a device
- Module 4: Interpreting Data
- Theoretical Statistical Knowledge of Sports Analytics
- Module 1: Foundational Concepts of Statistics and Rstudio
- Module 2: Exploratory and Descriptive Analytics in R
- Module 3: Statistical Modelling in R
- Module 4: Analytics in R
- The Art of Communicating the Data
- Module 1: Communicating Data
- Module 2: Relaying information to Performance Staff. What to do and what not to do
- Module 3: Relaying information to Front Office. What to do and what not to do
- Module 4: Relaying Information to Coaches & Players. What To Do and What Not To Do
- Understand the fundamental principles of measurement and assessments in sports
- Develop statistically sound and robust analytic solutions
- Transform data into actionable insights
- Examine various sports case studies using programming, analytics, and data visualization
COURSE DETAILS
Duration: 4 months.
Average dedication: 6/8 weekly hours .
Delivered in: English.
Aimed at:
• Sports Scientists currently working in collegiate and professional sports seeking to gain new knowledge and provide their team and athletes with an advantage through the implementation of the applied knowledge from this certificate program. It is also designed for those seeking the technical and applied sports analytics skills needed to obtain a position in a collegiate and professional sports organisation as a sports scientist and or sports performance staff.
Thanks to our integration with remote supervision technologies, the Verified Certificate of Approval:
- Guarantee transparency of the certification process.
- Validates the identity of the certificate holder.
- Accredits the acquisition of specific competencies and skills.
- 24-hour access to study material, from anywhere on any device.
- Accompaniment, monitoring, and virtual support from an expert in the field.
- Activities and assessments with personalised feedback.
- Discussion forums and interaction with colleagues from all over the world.
- Certificate issued by Barca Innovation Hub and endorsed by the corresponding institution.
- Self-assessment to measure your learning progress.
PREREQUISITES
A general understanding of analytics would be beneficial