Certificate in Data Science in Team Sports

€ 625 4 installments of 156.25

€ 625

4 installments of 156.25

Start date

Apr 10, 2025

Level: Introductory
Delivery mode: Online-based
Duration: 4 Months
Average dedication: 6/8 weekly hours
Delivered in: English

Description

An introductory Data Science in team sports course serves as a crucial foundation for students looking to understand the growing role of analytics in sports. This certificate bridges the gap between traditional sports knowledge and the data-driven approach that is revolutionizing the industry. It introduces students to the basic concepts of data science and statistics, specifically tailored to sports applications, allowing them to grasp how numbers can translate into actionable insights on the field.

This certificate covers fundamental statistical concepts such as descriptive statistics, probability, and basic inferential statistics, all contextualized within sports scenarios. Students learn about how sports data is collected, data cleaning, and analysis of sports-related data using entry-level tools and software like Excel and Tableau. Students will also be introduced to the programming language Python to do more advanced analyses.

This introductory certificate lays the groundwork for more advanced studies in sports analytics while also providing valuable skills for students pursuing various careers in team sports and the sports industry. It caters to a wide audience, from current and aspiring coaches and support staff working inside the teams to future data analysts who aspire to work inside sports teams.

By the end of the program, students will have a solid understanding of how data is collected, analysed, and utilised in team sports, preparing them for a future where data literacy is increasingly important in all aspects of sports. This certificate will help facilitate the transfer of technical and physical information from the matches and training to assist the coaches and decision-makers in making informed decisions.

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Module 1: What is Data Science? – Definitions and basics
Module 2: Data science career opportunities in sport
Module 3: Statistics and the Math Behind Data Science
Module 4: Application of data science in sport

Module 1: Sports Data Types
Module 2: Data collection in sports
Module 3: Data Cleaning and Preparation
Module 4: Data Storage and Combining Data Sources

Module 1: Data Analysis Process
Module 2: Data Analysis - Tools and Technologies
Module 3: Data visualization
Module 4: Data analysis techniques

Module 1: Advanced data analysis techniques
Module 2: Advanced data analysis examples
Module 3: Communication and presentation of the analysis
Module 4: Case study and course summary

Learn to

  • Identify types of data and how to use different streams of data.
  • You will be able to perform exploratory data analysis and use the different software tools like Excel, Tableau and Python
  • You will be able to do some detailed and advanced data analysis in python and will be introduced to the basics of how to communicate findings from data analysis.

Certify your skills

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.

What does it include?

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 PERSONALIZED FEEDBACK
DISCUSSION FORUMS AND INTERACTION WITH COLLEAGUES FROM ALL OVER THE WORLD
CERTIFICATE ISSUED BY BARÇA INNOVATION HUB AND ENDORSED BY THE CORRESPONDING INSTITUTION.
SELF-ASSESSMENT TO MEASURE YOUR LEARNING PROGRESS

Education

ALL PROGRAMS

4 installments of 156.25

€ 625