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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


  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

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    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, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
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    605 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Eindhoven University of Technology

    Improving Your Statistical Questions

    Skills you'll gain: Scientific Methods, Research Design, Research, Quantitative Research, Experimentation, Data Literacy, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    112 reviews

    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
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    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    649 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.4
    Rating, 4.4 out of 5 stars
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    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
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    109 reviews

    Advanced · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Managing, Describing, and Analyzing Data

    Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, R (Software), Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to probability theory

probability theory and regression for predictive analytics
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In summary, here are 10 of our most popular probability theory courses

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Inferential Statistics: University of Amsterdam
  • Improving Your Statistical Questions: Eindhoven University of Technology
  • Using probability distributions for real world problems in R: Coursera
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Statistical Learning for Engineering Part 2: Northeastern University

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