Sports Science Courses

Fundamentals of Welding Science and Technology

1 review

Comprehensive exploration of welding science, covering classifications, power sources, physics, metal transfer, and various welding techniques. Ideal for aspiring welders and engineers.

• YouTube
• 22 hours
• On-Demand
• Free Video

Product Management: Data Science and Agile Systems

Master data-driven product management using Agile, DevOps, and Data Science principles. Learn to optimize operations, streamline workflows, and leverage analytics for competitive advantage in modern business environments.

• Coursera
• 12 hours 37 minutes
• On-Demand
• Free Online Course (Audit)

Probability Theory: Foundation for Data Science

233 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 16 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Algebra and Differential Calculus for Data Science

226 ratings at Coursera

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

• Coursera
• 8 hours
• On-Demand
• Free Online Course (Audit)

The Harder Side of Science Communication

Explore evidence-based science communication methods, learning theories, cognitive biases, and learning engineering to design effective educational activities and mitigate misinformation spread.

• Coursera
• 6 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

Designing Effective Science Communication

105 ratings at Coursera

Equips scientists and educators with skills to effectively communicate science to diverse audiences, focusing on learning principles, presentation techniques, writing strategies, technology use, and artistic approaches.

• Coursera
• 10 hours 51 minutes
• On-Demand
• Free Online Course (Audit)

Integral Calculus and Numerical Analysis for Data Science

91 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Inference for Estimation in Data Science

81 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 4 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Modes of Science Communication

In this course, you will explore different modalities of science communication, including oral presentations, written forms of communication, technology, and artistic media, including best practices for each.

• Coursera
• 10 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

Python Packages for Data Science

52 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

• Coursera
• 19 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

The Softer Side of Science Communication

Explore evidence-based methods for effective science communication, focusing on emotions, connection, conflict management, and inclusivity to enhance your skills and impact.

• Coursera
• 9 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Inference and Hypothesis Testing in Data Science Applications

47 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Ethical Issues in Data Science

37 ratings at Coursera

Explore ethical challenges in data science, including privacy, security, bias, and medical applications. Gain insights to navigate ethical considerations in your data science career.

• Coursera
• 23 hours 51 minutes
• On-Demand
• Free Online Course (Audit)

Data Science as a Field

34 ratings at Coursera

Explore data science's evolution, applications, and methodologies. Learn about the data analysis process, pitfalls, and effective communication of results in various professional settings.

• Coursera
• 10 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Cybersecurity for Data Science

24 ratings at Coursera

Learn essential cybersecurity concepts, tools, and techniques for data science, including risk mitigation, authentication, access control, and ethical considerations to ensure data security and privacy.

• Coursera
• 19 hours 10 minutes
• On-Demand
• Free Online Course (Audit)