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  • Probability Theory

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


  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    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

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Cryptography and Information Theory

    Skills you'll gain: Cryptography, Brute-force attacks, Encryption, Information Systems Security, Cybersecurity, Theoretical Computer Science, Computational Logic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, R (Software), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    商管統計資料分析三 (Analytics for Business and Management (III))

    Skills you'll gain: Logistic Regression, R Programming, Statistical Analysis, Case Studies, Model Evaluation, Statistical Modeling, Regression Analysis, Advanced Analytics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Business Analytics

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • N

    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • É

    École Polytechnique

    Initiation à la théorie des distributions

    Skills you'll gain: Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Integral Calculus, Calculus, Engineering Analysis, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    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, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    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

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

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1…8910…249

In summary, here are 10 of our most popular probability theory courses

  • Statistical Learning for Engineering Part 1: Northeastern University
  • Cryptography and Information Theory: University of Colorado System
  • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
  • Bayesian Computational Statistics: Illinois Tech
  • 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
  • Using probability distributions for real world problems in R: Coursera
  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Initiation à la théorie des distributions: École Polytechnique
  • Statistical Learning for Engineering Part 2: Northeastern University

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