Sports Science Courses

理论计算机科学基础 | Introduction to Theoretical Computer Science

本课程内容涵盖了形式语言与自动机理论、可计算性理论、计算复杂性理论等最基本的那部分内容。 This course covers the most basic parts of formal language and automata theory, computability theory and computational complexity theory.

• edX
• 6 hours
• Self-Paced
• Free Online 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

Question Reality! Science, philosophy, and the search for meaning

3 ratings

What is reality? Explore how physics and philosophy have changed our perspective on the nature of the universe, matter, and mind over time.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online 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

Social Science Approaches to the Study of Chinese Society Part 1

52 ratings at Coursera

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

20 ratings at Coursera

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 - 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

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

Credential

Discrete Mathematical Tools for Computer Science

Master discrete mathematics fundamentals for computer science: logic, counting, algorithms, recursion, and probability through rigorous problem-solving and proofs.

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

AP Computer Science A: Java Programming Classes and Objects

Learn Java programming fundamentals including classes, objects, interfaces, and inheritance. Develop skills for AP Computer Science A exam through hands-on coding and object-oriented design principles.

• edX
• 6 weeks, 8-12 hours/week
• Self-Paced
• Free Online Course

AP Computer Science A: Java Programming Loops and Data Structures

Learn Java programming fundamentals including loops, arrays, and recursion. Master essential concepts for AP Computer Science A exam preparation and build a strong foundation in coding.

• edX
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course

AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures

Explore advanced Java programming concepts including polymorphism, exceptions, and dynamic data structures. Master OOP strategies and algorithms for efficient coding.

• edX
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course