Soil Science Courses

Ethical Issues in Data Science

53 ratings at Coursera

Examine ethical issues in data science: apply deontology, virtue ethics and utilitarianism to privacy, security, workplace codes, algorithmic bias, facial recognition and medical AI.

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

Data Science as a Field

41 ratings at Coursera

Explore what data science is and how it is practiced: its history, uses in industry, government and academia, reproducible analysis workflows, common pitfalls, and communicating results.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Cybersecurity for Data Science

32 ratings at Coursera

Learn the cybersecurity risks facing data work: the CIA triad, cryptographic tools, authentication and access control, IoT hacking, data breaches, social engineering, and cyber ethics.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Statistical Learning for Data Science

25 ratings at Coursera

Learn advanced model selection techniques — regression, classification, trees, SVM, splines, resampling and unsupervised learning — and interpret coefficients to explain and justify model choices to clients.

• Coursera
• 16 weeks, 9 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Designing Effective Science Communication

22 ratings at Coursera

Engineer science communication activities using evidence from the learning sciences, and apply best practices across the harder side, softer side, and different modes of communicating science.

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

Career Certificate

The Science of Movement

18 ratings at Coursera

Learn how the nervous system controls muscle forces to drive movement: neural pathways for motor control, neuromuscular properties, and interventions that restore movement capabilities.

• Coursera
• 12 weeks, 20 hours a week
• Self-Paced
• Paid Course
• 3 courses

Modes of Science Communication

14 ratings at Coursera

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
• 4 weeks, 3 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

Computational Bayesian Statistics for Data Science

Approximate posteriors when algebra fails: compute MAP estimates by gradient ascent, run rejection sampling, Gibbs and Metropolis-Hastings MCMC, and fit Bayesian models with Stan in R.

• Coursera
• 5 weeks, 5 hours a week
• 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

The Softer Side of Science Communication

Build connection with audiences in science communication: use emotion, empathy, storytelling, improv and non-verbal cues, handle adversarial audiences, and communicate inclusively.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

The Harder Side of Science Communication

Design evidence-based science communication activities: apply theories of human learning, counter cognitive bias and motivated reasoning, and use motivational interviewing and learning engineering.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Introduction to Bayesian Statistics for Data Science

Learn Bayesian statistical inference, computing posterior distributions with conjugate families, improper and objective priors, Monte Carlo simulation, and Bayesian linear regression in R.

• Coursera
• 5 weeks, 7 hours a week
• Self-Paced
• Paid Course

Science & Religion 101

169 ratings at Coursera

Science and religion need not be at war: weigh models of their relationship through Galileo, Darwin, Noah's flood, intelligent design, and Genesis 1-11 interpretations.

• Coursera
• 11 weeks, 2 hours a week
• Self-Paced
• Paid Course