Statistics & Probability Courses and Certifications

Causal Inference

104 ratings at Coursera

Rigorous mathematical exploration of causal inference methods, including randomization, regression, propensity scores, and matching. Ideal for understanding and applying causal relationships in various fields.

• Coursera
• 12 hours 26 minutes
• On-Demand
• Paid Course

Inferential Statistics

608 ratings at Coursera

Explore inferential statistics, from hypothesis testing to advanced techniques like regression and ANOVA. Learn to analyze data, make inferences, and interpret results using various statistical tests.

• Coursera
• 14 hours 41 minutes
• On-Demand
• Paid Course

Causal Inference 2

15 ratings at Coursera

Explore advanced causal inference topics like mediation, principal stratification, and longitudinal analysis. Gain rigorous mathematical insights for applications in science, medicine, policy, and business.

• Coursera
• 5 hours 49 minutes
• On-Demand
• Paid Course

Statistics and Hypothesis Testing for Data science

642 ratings at Udemy

"Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science".

• Udemy
• 4 hours 16 minutes
• On-Demand
• Paid Course

Experimental Design Basics

312 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
• On-Demand
• Paid Course

Statistics: A Step-by-step Introduction

579 ratings at Udemy

Lessons and examples from a former Google data scientist to master hypothesis tests, confidence intervals, and more

• Udemy
• 10 hours 4 minutes
• On-Demand
• Paid Course

Statistics Foundations: The Basics

9192 ratings at LinkedIn Learning

Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

• LinkedIn Learning
• 33 minutes
• On-Demand
• Free Trial Available

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
• On-Demand
• Paid Course

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• On-Demand
• Free Video

Microcredential

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 a week
• On-Demand
• $498.00
• 2 courses

Microcredential

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 a week
• On-Demand
• $498.00
• 2 courses

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

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
• On-Demand
• Paid Course

Make Data-Driven Decisions in Customer Success (2nd Ed.)

455 ratings at Udemy

Master practical statistical tools for analyzing customer success metrics, tracking churn, building predictive health scores, and making data-driven decisions that improve operational performance and business outcomes.

• Udemy
• 3 hours 18 minutes
• On-Demand
• Paid Course

Design and Analysis of Experiments (DoE) (Accredited)

452 ratings at Udemy

Design of Experiments using Minitab: Basics, Fractional Factorial, Response Surface (CCD) - Get 5 PMI PDUs/PDCs/CPDs

• Udemy
• 5 hours 8 minutes
• On-Demand
• Paid Course