Sports Science Courses

Microcredential

Statistical Modeling for Data Science Applications

60 ratings at Coursera

Develop advanced statistical modeling skills for data science, including linear regression, ANOVA, and generalized linear models, with practical applications using R programming.

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

Microcredential

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

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 a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Data Science Methods for Quality Improvement

53 ratings at Coursera

Gain data analysis skills for quality improvement in business and industry. Learn RStudio, RMarkdown, and techniques to enhance performance, quality, and reliability across various sectors.

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

Statistical Inference and Hypothesis Testing in Data Science Applications

51 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 40 minutes
• On-Demand
• Paid Course

Ethical Issues in Data Science

49 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 52 minutes
• On-Demand
• Paid Course

Data Science as a Field

39 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 56 minutes
• On-Demand
• Paid Course

Cybersecurity for Data Science

30 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 11 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

The Science of Movement

16 ratings at Coursera

Explore the nervous system's role in controlling muscle forces for movement, learning to distinguish neural components and develop interventions to enhance movement capabilities.

• Coursera
• 12 weeks, 20 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Designing Effective Science Communication

13 ratings at Coursera

Learn evidence-based methods for effective science communication, covering both technical and interpersonal aspects, and explore various modalities to enhance your skills in conveying scientific information.

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

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
• On-Demand
• $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
• On-Demand
• Paid Course
• 17 courses

Microcredential

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
• On-Demand
• 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
• On-Demand
• Paid Course

Science & Religion 101

168 ratings at Coursera

Explore the complex relationship between science and religion, dispelling myths of conflict and examining key historical events, debates, and interpretations to develop your personal views.

• Coursera
• 18 hours 31 minutes
• On-Demand
• Paid Course