Sports Science Courses

Data Science: How to Plan Projects, Research and Reflect

Discover how to plan, research, and reflect on data science projects through structured methodologies, literature reviews, and effective communication strategies.

• Coursera
• 7 hours 39 minutes
• Self-Paced
• Paid Course

Introduction to Archaeology : Archaeology as Science

Explore scientific methods used in archaeology, from excavation to remote sensing, to uncover past behaviors and settlement patterns. Learn about living spaces, environments, diets, landscapes, and dating techniques.

• Coursera
• 18 hours 16 minutes
• Self-Paced
• Paid Course

Introducción a Data Science: Programación Estadística con R

8585 ratings at Coursera

Aprende a programar en R para análisis estadístico y visualización de datos. Domina la manipulación, procesamiento y representación gráfica de información cuantitativa utilizando RStudio.

• Coursera
• 1 day 22 hours 56 minutes
• Self-Paced
• Paid Course

Ken Jee

Sports Analytics

8 ratings

Explore sports analytics through diverse projects, data scraping, and statistical analyses. Learn to predict outcomes, simulate games, and gain insights into various sports using data science techniques.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Degree

Master of Data Science

The first fully online Master of Data Science from a top-10 Russian university, featuring applied projects with industry partners like Yandex.

• Coursera
• Self-Paced
• $16,000.00
• 4 courses

American Museum of Natural History

The Science of Stem Cells

3 ratings

Explore stem cell biology, research techniques, and potential medical breakthroughs. Learn from experts about current accomplishments, challenges, and ethical implications in this cutting-edge field.

• Coursera
• 10 hours 3 minutes
• Self-Paced
• Paid Course

Plant Science for Gardeners

Explore plant science fundamentals to become a better gardener, covering ecological principles, plant structures, reproduction, and propagation techniques for informed, confident gardening decisions.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Fundamental Sports related Musculoskeletal Anatomy

61 ratings at Coursera

Explore musculoskeletal anatomy for sports, covering system overview, spine, upper and lower limbs. Gain insights into structures, functions, and movements essential for athletic performance.

• Coursera
• 4 hours 3 minutes
• Self-Paced
• Paid Course

Ethics in science?

12 ratings at OpenLearn

This free course, Ethics in science? discusses how scientists have a moral and ethical responsibility to consider whether they should carry out an experiment. In this short course you will learn of...

• OpenLearn
• 3 hours
• Self-Paced
• Free Certificate

Python for Data Science, AI & Development

3 ratings

Learn Python for data science, AI, and development. Master basics, data structures, programming fundamentals, data manipulation, and APIs. Gain practical skills through hands-on labs using Jupyter Notebooks.

• Coursera
• 1 day 20 minutes
• Self-Paced
• Paid Course

Social Science Approaches to the Study of Chinese Society Part 1

Explore social science research methods, key questions, and challenges in studying Chinese society. Gain critical skills to evaluate social phenomena and research findings.

• Coursera
• 13 hours 37 minutes
• Self-Paced
• Paid Course

Social Science Approaches to the Study of Chinese Society Part 2

Explore social science research methodologies, data sources, and ethical considerations for studying Chinese society. Gain skills to design studies, analyze data, and prepare for advanced academic pursuits.

• Coursera
• 15 hours 36 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Logic & Set Theory

Master propositional and predicate logic, set theory, and formal reasoning to build mathematical foundations essential for algorithm design and program correctness.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Algorithms & Recursion

Master number theory, cryptography, and recursive algorithms while analyzing efficiency through mathematical induction and asymptotic notation.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Counting & Probability

Master combinatorial counting and probability theory to analyze algorithms, model uncertainty, and solve complex computational problems with systematic mathematical precision.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course