Statistics & Probability Courses and Certifications

Experimental Design Basics

313 ratings at Coursera

Explore efficient experiment design and data analysis techniques. Learn to plan, conduct, and interpret experiments effectively using statistical methods and software tools for reliable results in various industries.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course

Logistic Regression in R for Public Health

368 ratings at Coursera

Learn to apply logistic regression to public health data using R. Covers odds ratios, model fitting, and variable selection. Gain practical skills analyzing real-world messy datasets to predict health outcomes.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics, Confidence Intervals and Hypothesis Tests

Comprehensive introduction to statistical concepts, probability distributions, and methodologies like confidence intervals and hypothesis testing, with real-world applications and examples.

• edX
• 8 weeks, 6-10 hours/week
• Self-Paced
• $498.00
• 2 courses

Career Certificate

Probability/Random Variables

Explore probability concepts and random variables, enhancing modeling skills for real-world applications. Learn about discrete and continuous variables, expected values, and joint distributions using R statistical package.

• edX
• 7 weeks, 6-11 hours/week
• Self-Paced
• $498.00
• 2 courses

Probability Foundations for Data Science and AI

288 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
• Self-Paced
• Paid Course

Survival Analysis in R for Public Health

331 ratings at Coursera

Explore survival analysis in R using real-world health data. Learn Kaplan-Meier plots, Cox regression, and model assessment techniques to predict patient outcomes and analyze time-to-event data.

• Coursera
• 11 hours 29 minutes
• Self-Paced
• Paid Course

Math behind Moneyball

97 ratings at Coursera

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

• Coursera
• 65 hours
• Self-Paced
• Paid Course

Statistics: Unlocking the World of Data

2 ratings

Explore the ideas and methods behind the statistics you encounter in everyday life.

• edX
• 8 weeks, 4-6 hours/week
• Self-Paced
• Free Certificate

Factorial and Fractional Factorial Designs

82 ratings at Coursera

Learn to design and analyze multifactor experiments using factorial and fractional factorial designs, ANOVA, and blocking principles for engineering, science, and business applications.

• Coursera
• 11 hours 51 minutes
• Self-Paced
• Paid Course

Response Surfaces, Mixtures, and Model Building

67 ratings at Coursera

Explore advanced experimental design techniques for process optimization, including response surfaces, mixture experiments, and robust parameter design strategies.

• Coursera
• 13 hours 8 minutes
• Self-Paced
• Paid Course

Probabilistic Graphical Models 1: Representation

18 ratings

Explore probabilistic graphical models, including Bayesian networks and Markov networks, to encode complex probability distributions for applications like medical diagnosis and speech recognition.

• Coursera
• 67 hours
• Self-Paced
• Paid Course

Introduction to Artificial Intelligence

31 ratings

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence.

• Udacity
• 16 weeks, 6 hours a week
• Self-Paced
• Free Online Course

Random Models, Nested and Split-plot Designs

36 ratings at Coursera

Learn advanced experimental design techniques including random models, nested designs, and split-plot designs. Explore methods for estimating variability and analyzing non-normal response distributions.

• Coursera
• 9 hours 18 minutes
• Self-Paced
• Paid Course

Indian Institute of Management Ahmedabad

Pre-MBA Statistics

303 ratings at Coursera

Comprehensive introduction to descriptive and inferential statistics, covering data types, probability, sampling methods, estimation, and hypothesis testing for effective data analysis and interpretation.

• Coursera
• 1 day 18 minutes
• Self-Paced
• Paid Course

Career Certificate

Modern Statistics for Data-Driven Decision-Making

Master statistical methods for data-driven decisions across business, industrial, and social environments with probability, regression, Bayesian concepts, and classification techniques.

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