Probability Courses and Certifications

Probability for Statistics and Data Science

1235 ratings at Udemy

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

• Udemy
• 3 hours 40 minutes
• Self-Paced
• Paid Course

Credential

Advanced Statistics for Data Science

797 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

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

Coursera

Using probability distributions for real world problems in R

37 ratings at Coursera

Learn to apply probability distributions to real-world problems using R. Gain practical skills in using Binomial, Poisson, Normal, Exponential, and Chi-square distributions, with visualization techniques for data analysis.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Calculus: Single Variable Part 4 - Applications

283 ratings at Coursera

Explore applications of calculus in geometry, physics, and probability. Learn to compute areas, volumes, and averages using integrals and differential elements.

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

London School of Economics and Political Science

Statistics 1 Part 1: Introductory statistics, probability and estimation

31 ratings at edX

The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

• edX
• 5 weeks, 12-15 hours/week
• Self-Paced
• Free Online Course (Audit)

頑想學概率：機率一 (Probability (1))

367 ratings at Coursera

這是一個機率的入門課程，著重的是教授機率基本概念。課程內容和作業都使用生活化的例子，希望讓同學們快樂學習、快速培養同學們對於機率的洞察力與應用能力。

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Probability Theory and Regression for Predictive Analytics

Master probability theory and regression techniques to build predictive models using Python, covering Bayes' Theorem, distributions, OLS, and advanced regression methods.

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

Probability for Actuaries: Continuous Distributions

Master probability distributions, multivariate analysis, and key theorems essential for actuarial work, focusing on modeling uncertain events and managing risk through statistical approaches.

• edX
• 9 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Actuarial Science: Financial Math and Probability

Master actuarial science fundamentals with courses covering financial math and probability concepts needed for SOA Exams FM and P, including time-value of money, interest rates, probability theory, and distributions.

• edX
• 33 weeks, 4-6 hours/week
• Self-Paced
• $876.00
• 4 courses

London School of Economics and Political Science

Statistics 2 Part 1: Probability and Distribution Theory

The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

• edX
• 5 weeks, 12-15 hours/week
• Self-Paced
• Free Online Course (Audit)

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

London School of Economics and Political Science

Data Analysis for Management

Master data-driven decision making with statistical analysis, Tableau visualization, and forecasting techniques to transform organizational insights into compelling business narratives.

• GetSmarter
• 8 weeks, 8 hours/week
• 27th May, 2026
• Paid Course

LANTITE Numeracy

Prepare for success with LANTITE Numeracy. This self-paced course will develop your understanding of mathematical content, enable you to apply numeracy skills, and support you with activities to enhance your problem-solving and mathematical reasoning.

• OpenLearning
• 50 hours
• Self-Paced
• Paid Course

Calculus-Based Probability & Statistics

Comprehensive review of calculus-based probability and statistics, covering descriptive statistics, probability theories, distributions, sampling, estimation, hypothesis testing, regression, and statistical software.

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

Packt

Natural Language Processing - Probability Models in Python

Master probability-based NLP techniques in Python, from spam detection and sentiment analysis to text summarization and topic modeling, with hands-on implementation of algorithms like Naive Bayes, LDA, and TextRank.

• Coursera
• 6 hours 52 minutes
• Self-Paced
• Paid Course