Sports Science Courses

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

What is Data Science?

77784 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
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Statistical Estimation for Data Science and AI

96 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
• Self-Paced
• Paid Course

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

Computational Bayesian Statistics for Data Science

Master Bayesian statistical methods with computational algorithms like MAP estimation, MCMC, Gibbs sampling, and Metropolis-Hastings, while gaining hands-on Stan experience for real-world data science.

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

Degree

Master of Science in Electrical Engineering

Start your education journey today by pursuing electrical engineering courses, a graduate certificate, or a master’s degree from the University of Colorado Boulder. With performance-based admission, there is no application process—simply prove you can do…

• Coursera
• Self-Paced
• $20,010.00
• 45 courses

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• Self-Paced
• Paid Course
• 17 courses

Ethical Issues in Data Science

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 52 minutes
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

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
• Self-Paced
• Paid Course

Probability Foundations for Data Science and AI

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
• Self-Paced
• Paid Course

Career Certificate

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course

Statistical Inference and Hypothesis Testing in Data Science Applications

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 40 minutes
• Self-Paced
• Paid Course

Career Certificate

Expressway to Data Science: R Programming and Tidyverse

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

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

Career Certificate

Expressway to Data Science: Python Programming

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/week
• Self-Paced
• Paid Course