Statistics & Probability Courses and Certifications

Probability and Statistics in Data Science using Python

32 ratings

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

• edX
• 10 weeks, 10-12 hours a week
• Self-Paced
• Free Certificate

Intro to Statistics

39 ratings

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

Probability and Statistics: To p or not to p?

1504 ratings at Coursera

Turn uncertainty into informed decisions: quantify chance with probability, summarise data, estimate means and proportions, and test hypotheses with p-values.

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

Become a Probability & Statistics Master

14742 ratings at Udemy

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

• Udemy
• 15 hours 12 minutes
• Self-Paced
• Paid Course

Introduction to Probability and Statistics for Machine Learning

Build foundational probability and statistics skills for machine learning through distributions, hypothesis tests, and linear regression.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Probability & Statistics for Machine Learning & Data Science

700 ratings at Coursera

Quantify uncertainty in machine learning predictions using probability distributions, maximum likelihood and MAP estimation, confidence intervals, and hypothesis tests such as t-tests and A/B testing.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Career Certificate

Foundations of Probability and Statistics

369 ratings at Coursera

Build a mathematical foundation for data science and AI: quantify uncertainty with random variables, model systems with discrete-time Markov chains, and construct maximum likelihood estimators.

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

Basic Statistics

13 ratings

Learn to compute and interpret means, standard deviations, Pearson's r and OLS regression, then work through probability distributions, sampling distributions, confidence intervals and significance tests.

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

Probability and Statistics for Business and Data Science

8003 ratings at Udemy

Learn how to apply probability and statistics to real data science and business applications!

• Udemy
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Workshop in Probability and Statistics

4863 ratings at Udemy

This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.

• Udemy
• 22 hours 13 minutes
• Self-Paced
• Paid Course

Introduction to Probability and Statistics

1905 ratings at Udemy

Learn college-level statistics: data types, descriptive measures, probability, discrete and continuous random variables, the central limit theorem, confidence intervals, and one-sample hypothesis tests.

• Udemy
• 8 hours 30 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Probability and Statistics

12 ratings at Coursera

Learn descriptive statistics, probability axioms and Bayes' formula, random variables, binomial, Poisson and normal distributions, sampling and estimation, hypothesis testing, and linear and polynomial regression.

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

Calculus-Based Probability & Statistics

Review calculus-based probability and statistics through lessons and practice quizzes covering distributions, inference, regression, and ANOVA.

• Study.com
• 9 hours 44 minutes
• Self-Paced
• Paid Course

EDUCBA

Probability and Statistics for Decision Making

Quantify uncertainty with probability and statistics: random variables, mutually exclusive and independent events, contingency tables, mean, variance, correlation, covariance, skewness, and BLUE estimation.

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