Sports Science Courses

Constructivism and Mathematics, Science, and Technology Education

Explore constructivism's impact on STEM education, examining student ideas, instructional approaches, and implementation challenges to enhance teaching and learning practices.

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

Sports Turf Management: Best Practices

Explore athletic field construction, maintenance, traffic management, and artificial turf. Learn best practices for creating safe, durable playing surfaces through expert techniques and innovative solutions.

• Coursera
• 7 hours 54 minutes
• Self-Paced
• Paid Course

Data Analytics in Sports Law and Team Management

Explore data analytics in sports industry, covering team management, player representation, and facility operations. Learn to leverage data for effective decision-making and resource allocation.

• Coursera
• 9 hours 50 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analytics in Sports Law and Management

Explore the intersection of data analytics, law, and sports management with insights from industry experts on player evaluation, team performance, and regulatory frameworks.

• Coursera
• 13 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 2 courses

Essential Linear Algebra for Data Science

2 ratings

Learn essential linear algebra concepts for data science, focusing on practical applications without unnecessary proofs. Covers matrices, linear systems, and key properties, preparing you for advanced statistical modeling.

• Coursera
• 7 hours 49 minutes
• Self-Paced
• Paid Course

Deep Teaching Solutions

Rethinking Logic: Surprising Science of Critical Thinking

5 ratings

Uncover hidden forces shaping thoughts, explore reasoning complexities, and gain practical strategies to enhance critical thinking skills for navigating complex decisions in today's challenging world.

• Coursera
• 4 hours 6 minutes
• Self-Paced
• Paid Course

Data Science in Stratified Healthcare and Precision Medicine

Explore data science in biomedicine, from genomics to wearables. Learn computational methods for precision medicine, including sequence processing, image analysis, and machine learning. Gain hands-on experience with real-world data and case studies.

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

Degree

Graduate Certificate in Computer Science

Choose from one of eight computer science paths and tailor your learning experience to align with your education and career goals.

• Coursera
• Self-Paced
• Paid Course

Degree

Graduate Diploma in Computer Science

Choose from one of eight computer science paths and tailor your learning experience to align with your education and career goals.

• Coursera
• Self-Paced
• Paid Course

Data Science Project Capstone: Predicting Bicycle Rental

Dive into predictive modeling with linear regression to forecast bicycle rental demand, analyzing weather patterns and temporal factors while mastering data acquisition and correlation techniques.

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

The Data Science Profession – Student View

Discover the real-world applications of data science through student perspectives, exploring key concepts like machine learning, K-means clustering, and different data types.

• Coursera
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Essential Mathematics for Computer Science

Master discrete mathematics, logic, algebra, calculus, and algorithmic reasoning to build the rigorous mathematical foundation essential for computing, data science, and software engineering.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Data Science Foundations

Master essential data science skills through IBM tools and academic foundations, from Python programming to machine learning, preparing for high-demand roles with hands-on projects and industry insights.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses

Career Certificate

Materials Science for Advanced Technological Applications

Explore advanced materials science concepts including metal strengthening, polymers, ceramics, and composites. Ideal for engineers and those interested in cutting-edge technological applications.

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

Career Certificate

Materials Science for Technological Application

Explore key materials science concepts, from atomic bonding to phase diagrams, and their impact on technological advancements. Gain practical knowledge applicable to various engineering fields.

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