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Probability Courses

Probability courses can help you learn statistical reasoning, risk assessment, hypothesis testing, and the fundamentals of random variables. You can build skills in interpreting data distributions, calculating expected values, and applying Bayes' theorem in various contexts. Many courses introduce tools like R, Python, and Excel for data analysis, along with methods for simulating probabilistic models and visualizing outcomes.


Popular Probability Courses and Certifications


  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Mindware: Critical Thinking for the Information Age

    Skills you'll gain: Logical Reasoning, Data Analysis, Deductive Reasoning, Analytical Skills, Analysis, Experimentation, Critical Thinking, Data Literacy, Critical Thinking and Problem Solving, Statistical Methods, Bayesian Statistics, Science and Research, Research Design, Behavioral Economics, Decision Making, Cognitive flexibility, Regression Analysis, Statistical Inference, Forecasting, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Text Mining, Machine Learning, Big Data, Model Evaluation, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    365 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Caltech

    Pricing Options with Mathematical Models

    Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
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    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Test Tools, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Script Development, Systems Development Life Cycle, Test Data, Technical Communication

    4.3
    Rating, 4.3 out of 5 stars
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    830 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics for International Business

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Statistical Methods, Estimation, Probability, Data-Driven Decision-Making, Data Collection, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Decision Making, Data Analysis, Statistical Visualization, Graphing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    316 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
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    834 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Data Presentation, Statistical Hypothesis Testing, Statistical Visualization, Regression Analysis, Forecasting, Probability Distribution, Data Visualization Software, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Probability & Statistics, Microsoft Excel, Descriptive Analytics, Statistics, Spreadsheet Software, Predictive Analytics, Predictive Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    146 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    462 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Mindware: Critical Thinking for the Information Age : University of Michigan
  • Unsupervised Machine Learning: IBM
  • Pricing Options with Mathematical Models: Caltech
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Guided Tour of Machine Learning in Finance: New York University
  • Introduction to Software Testing: University of Minnesota
  • Statistics for International Business: University of London
  • Supervised Machine Learning: Regression: IBM
  • Statistical Analysis Fundamentals using Excel: IBM

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