Probability Theory Courses and Certifications

Mathematical understanding of uncertainty

Explore probability theory, universal principles, and Markov chains to understand and harness uncertainty in real-world applications, from statistics to deep learning algorithms.

• edX
• 12 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Statistics and Calculus Methods for Data Analysis

Master essential mathematical foundations for data science through statistics, calculus, and Python applications in expected values, derivatives, and integrals.

• Coursera
• 16 hours 5 minutes
• On-Demand
• 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 a week
• On-Demand
• Free Online Course (Audit)

Microcredential

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
• On-Demand
• $876.00
• 4 courses

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• On-Demand
• Paid Course

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 minutes
• On-Demand
• Paid Course

American Psychological Association

Intro to Null Hypothesis Significance Testing with z-test

Master statistical hypothesis testing fundamentals through z-tests, probability concepts, and sampling distributions while learning to evaluate significance, effect size, and confidence intervals.

• Coursera
• 6 hours 3 minutes
• On-Demand
• Paid Course

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• On-Demand
• Paid Course

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

• Coursera
• 16 hours 45 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze Business Data Using Statistics Foundations

Master statistical analysis for business decisions through probability models, hypothesis testing, and data interpretation to drive evidence-based strategies.

• Coursera
• 13 hours 32 minutes
• On-Demand
• Paid Course

Data Analysis for Social Scientists

Master methods for analyzing data to answer cultural, social, economic, and policy questions using R, probability, statistics, and machine learning techniques.

• MITx Online
• 14 weeks, 12-14 hours a week
• On-Demand
• Free Online Course

Probabilistic Methods in Combinatorics

Master probabilistic methods in combinatorics and theoretical computer science, exploring random constructions, extremal set theory, and advanced mathematical concepts for proving existence of combinatorial objects.

• MIT OpenCourseWare
• On-Demand
• Free Online Course