Probability Theory Courses
Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.
Popular Probability Theory Courses and Certifications
Eindhoven University of Technology
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing
Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science
Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Columbia University
Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design
Johns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Johns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
École Polytechnique
Skills you'll gain: Differential Equations, Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Derivatives
Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
In summary, here are 10 of our most popular probability theory courses
- Improving your statistical inferences:Â Eindhoven University of Technology
- Discrete Mathematics:Â Shanghai Jiao Tong University
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University
- Statistical Learning for Engineering Part 1:Â Northeastern University
- Using probability distributions for real world problems in R:Â Coursera
- Causal Inference 2:Â Columbia University
- What are the Chances? Probability and Uncertainty in Statistics:Â Johns Hopkins University
- Introduction to Computational Statistics for Data Scientists:Â Databricks
- Data Science Decisions in Time: Information Theory & Games:Â Johns Hopkins University
- Initiation à la théorie des distributions: École Polytechnique
