MAXIMISING PYTHON, THE WORLD’S MOST POWERFUL AND POPULAR PROGRAMMING LANGUAGE, FOR SPORTS DATA ANALYSIS
Sports Data Campus announces the launch of the Master’s Degree in Advanced Python Applied to Football, an advanced program designed to master Python —one of the most popular and in-demand programming languages in fields such as data science, machine learning, and artificial intelligence— specifically applied to sports. Its goal is to drive and transform sports data analysis using cutting-edge techniques and tools.
This program is designed for and professionals looking to enhance their Python skills, covering data collection and analysis to visualization and machine learning, all focused on improving athletic/sports performance. Through real-world cases and practical methodology, students will be prepared to lead innovation and turn data into victories. The motto of the program is “From code to pitch: lead the game with PYTHON and DATA”
Máster´s Degree in Advanced Pyhton Applied to Football: A unique program for high-level professionals
This advanced master’s program provides students with advanced tools to manage and analyze data focused on athletic performance, allowing them to stand out in a constantly evolving market that demands highly skilled professionals in data analysis and sports technology. Graduates will be prepared to lead innovation and convert data into tangible results.
Aimed at the vanguard of sports analytics
The Máster’s Degree in Advanced Pyhton applied to football is designed for professionals and students who want to master Python in data analysis and management, focusing on programming, automation, machine learning, and visualization. This is a key training for those seeking to enhance technical skills or open new career opportunities in a growing industry
The program is ideal for:
• Analysts, data scientists, engineers, and developers.
• Recent graduates in big data, computer science, mathematics, statistics, economics, or related fields.
• Anyone interested in specializing in data analysis and automation, especially in the sports sector
Academic structure and content
The Máster´s Degree in Advanced Pyhton Applied to Football modality is 100% ONLINE. The total duration is 12 months, with the first 8 months covering all theoretical and practical content, and the remaining months dedicated to the Final Course Project (FCP).
The modules cover key skills, from AI-assisted programming to complex web application deployment:
1. AI-Assisted Development Tools for Sports Data Analysis: Focuses on using tools like GitHub Copilot and ChatGPT to accelerate coding and optimize data analysis processes.
2. Use of the Pandas Library Applied to Sports: Mastery of Series and DataFrames, data cleaning, grouping, aggregation, visualization, and exception handling.
3. Reading Sports Datasets in CSV, Excel, XML, HTML, and JSON: Covers reading and writing data in various formats and unifying multiple files.
4. Data Capturing Techniques from Sports Sources: Professional immersion in web scraping (BeautifulSoup and Selenium) for static and dynamic pages, including advanced automation and “humanization” techniques to prevent blocks.
5. APIs for Sports Analytics: Interacting with APIs in Python, obtaining, processing, and integrating data from different sources to enrich analysis.
6. Management of Sports Databases and Cloud Services: Fundamentals of databases and SQL, using MySQL and cloud management with Amazon RDS, and connecting Python to databases.
7. Libraries for Sports Data Visualization (Plotly and Mplsoccer): Mastering Plotly for interactive charts and using mplsoccer to create football-specific visualizations like heatmaps, pass maps, and radar charts.
8. Creation and Deployment of Applications in Streamlit: Developing user interfaces, integrating analysis code, and deploying applications on platforms like Heroku and AWS.
9. Dash with Plotly for Creating Sports Data Centralization Applications: Designing layouts, adding interactivity, implementing login systems, and deploying flexible sports dashboards on cloud services.
10. Machine Learning and AI Applied to Sports: Implementing regression and classification algorithms using Scikit-learn in Python to evaluate player and team performance.
11. Final Course Project (FCP): Application of all learned concepts, from initial concept to presentation, with guidance and feedback from mentors.
Recognition and Sports Data Campus ecosystem
Students obtain the Official University Certification from UCAM, recognized as the most prestigious sports university worldwide. UCAM is also ranked among the top 10 universities in Europe in teaching quality, according to the Times Higher Education (THE) ranking.
The master’s program offers four extra certifications to complement professional training:
• CATAPULT Performance Certification.
• SPORTS DATA CAMPUS Soft Skills Certification.
• LONGOMATCH Video Analysis Certification.
• SPORT COACH NORTE Game Fundamentals Certification.
Professional extension department: Your gateway to real opportunities
The Professional Extension Department connects students with the job market, offering access to job opportunities and REAL practical projects in elite teams. Sports Data Campus collaborates with over 100 clubsand elite teams worldwide, and with more than 120 leading companies in their sector.
Students also benefit from 24/7 SUPPORT, a unique learning experience with high-quality and exclusive content, and access to the largest Spanish-speaking community on Big Data and Sports for networking.
The academic direction is led by David R. Sáez (CEO at Sports Data Campus) and Lucas Bracamonte (Director of the Professional Extension Department at Sports Data Campus), supported by top faculty and world-class instructors.
Fill in the following form to receive more information about the Máster’s Degree in Advanced Python Applied to Football and about our international scholarship programme here:
