Sports Science Courses

What is Data Science?

77537 ratings at Coursera

Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.

• Coursera
• 11 hours 29 minutes
• On-Demand
• Paid Course

Microcredential

Expressway to Data Science: Essential Math

477 ratings at Coursera

Concise overview of foundational mathematics critical for Data Science careers, covering algebra, calculus, linear algebra, and numerical analysis. Prepares learners for advanced studies and applications in the field.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Sports Marketing and Today's College Athlete

Explore NIL rights, athlete journeys, and monetization strategies for college sports marketing while building your personal brand and understanding publicity laws.

• Coursera
• 11 hours 19 minutes
• On-Demand
• Paid Course

Microcredential

Data Science Foundations: Statistical Inference

355 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Expressway to Data Science: Python Programming

313 ratings at Coursera

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Probability Foundations for Data Science and AI

284 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 18 hours 21 minutes
• On-Demand
• Paid Course

Algebra and Differential Calculus for Data Science

264 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 1 minute
• On-Demand
• Paid Course

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 27 minutes
• On-Demand
• Paid Course

Designing Effective Science Communication

136 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 52 minutes
• On-Demand
• Paid Course

Microcredential

Vital Skills for Data Science

126 ratings at Coursera

Explore key areas in data science, including ethics, cybersecurity, and visualization. Gain practical skills and insights to determine your interests and future specialization in this diverse field.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Integral Calculus and Numerical Analysis for Data Science

109 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 32 minutes
• On-Demand
• Paid Course

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 23 minutes
• On-Demand
• Paid Course

Statistical Estimation for Data Science and AI

90 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 5 hours 23 minutes
• On-Demand
• Paid Course

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 48 minutes
• On-Demand
• Paid Course

Python Packages for Data Science

78 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
• 20 hours
• On-Demand
• Paid Course