Sports Science Courses

Packt

Julia Programming for Data Science and Machine Learning

Master Julia v1.8 for data science and machine learning, covering type systems, metaprogramming, interoperability, visualization, and scientific computing with hands-on, real-world applications.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

The future of sports from organisations to competitions

Explore how sport is being reshaped by new competition formats, private ownership, technology, and data-driven models transforming performance, talent development, and fan engagement worldwide.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

Principles of Data Science

Master the full data science lifecycle, from data preparation to advanced ML techniques, while exploring ethical AI considerations and hands-on case studies for real-world decision-making.

• Coursera
• 1 day 7 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Data Science with Python

Master essential Python libraries—NumPy, Pandas, Matplotlib, Plotly, and PyTorch—to manipulate data, create visualizations, process images, and build machine learning models for real-world data science projects.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Foundations of Data Science and Statistical Methods

Explore the foundations of data science, covering statistical methods, data collection, EDA, and mathematical concepts—ideal for beginners with no prior experience required.

• Coursera
• 8 hours
• Self-Paced
• Paid Course

Career Certificate

Future of Sports

Explore how global sport is being reshaped by technology, capital, and media, gaining strategic insights into new business models, private equity, data-driven performance, and the future sports economy.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

EDUCBA Career Certificate

Financial Analytics & Decision Science

Master financial analytics, statistics, and decision science to analyze data, optimize decisions, and evaluate performance using spreadsheet tools, probability, and operational research techniques.

• Coursera
• Self-Paced
• Paid Course
• 4 courses

LearnKartS

Python for Data Science with AI

Master Python for Data Science using Google Colab, covering Pandas, Matplotlib, and Seaborn through hands-on case studies to analyze, clean, and visualize real-world data.

• Coursera
• 25 hours
• Self-Paced
• Paid Course

Career Certificate

Sustainable Sports: Values and Practices of a Club

Explore how sport drives sustainable development through environmental responsibility, social inclusion, governance, and strategic decision-making across four applied, industry-focused courses.

• Coursera
• Self-Paced
• Paid Course
• 4 courses

New ways of investments : Private equity reshaping sports

Explore how private equity, multi-club ownership, and tech partnerships are reshaping sports. Understand financialisation, athlete-driven commerce, and new monetisation strategies transforming the global sports industry.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Edureka Career Certificate

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 2 courses

Career Certificate

Using Data Science Tools in Python

Master Python's essential data science libraries to extract insights from data and drive business decisions through hands-on analysis, visualization, and programming techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

R Programming for Data Science

Master R programming fundamentals for data analysis, statistical modeling, and visualization to extract valuable insights and create predictive models in 4 weeks.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

EDUCBA

Analyze Data Science Concepts Using R

Master statistical analysis, machine learning, and data visualization using R through hands-on projects with real datasets and industry-relevant workflows.

• Coursera
• 14 hours 4 minutes
• Self-Paced
• Paid Course

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• Self-Paced
• Paid Course