Descripció
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.
