Probability Courses and Certifications

Jeremy Klassen

International Baccalaureate Mathematics - Statistics, Probability, and 3D Geometry

Master advanced IB mathematics covering statistics, 3D geometry, probability, and proof techniques through comprehensive lessons on distributions, coordinate geometry, and reasoning.

• YouTube
• 10 hours 26 minutes
• Self-Paced
• Free Video

For the Love of Physics

Expectation Values and Operators in Quantum Mechanics - Basics of Probability Theory

Explore quantum mechanics operators, expectation values for position, momentum, and energy. Learn probability theory basics and their application in particle behavior analysis.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Honors Algebra 2: Series, Trigonometry, and Probability

Master sequences, series, trigonometry, and probability through real-world applications, from modeling population growth to analyzing periodic patterns and quantifying uncertainty.

• Coursera
• 18 hours 24 minutes
• Self-Paced
• Paid Course

Probability & Statistics for Machine Learning & Data Science

689 ratings at Coursera

Explore probability, statistics, and data analysis for machine learning. Apply concepts using Python in hands-on exercises. Gain skills in estimation, hypothesis testing, and exploratory data analysis.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analytics Foundations

112 ratings at Noble Desktop

Master statistical concepts, data visualization, and predictive analytics while learning to use powerful tools for forecasting, regression analysis, probability modeling, and prescriptive analytics.

• Noble Desktop
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Probabilistic Graphical Models

1552 ratings at Coursera

Explore probabilistic graphical models, a powerful framework for encoding complex probability distributions, with applications in machine learning, medical diagnosis, and more.

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

Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Introduction to Statistics

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistics Fundamentals in Python

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Statistical Simulation in Python

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Applied Statistics in Python

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available