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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


  • U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, R (Software), Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Statistical Software, Microsoft Excel, Statistics, Data Analysis

    ★ 4.6 (48) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Mathematical Modeling, Linear Algebra

    ★ 4.7 (839) · Advanced · Course · 1 - 3 Months

  • 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 (462) · Intermediate · Course · 1 - 3 Months

  • 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 (39) · Intermediate · Course · 1 - 3 Months

  • 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 (280) · Intermediate · Specialization · 3 - 6 Months

  • 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 (722) · Intermediate · Specialization · 3 - 6 Months

  • 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 (1.4K) · Beginner · Course · 1 - 3 Months

  • 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 (681) · Intermediate · Course · 1 - 4 Weeks

  • 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 (835) · Intermediate · Course · 1 - 3 Months

  • 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 (830) · Intermediate · Course · 1 - 4 Weeks

  • 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 (146) · Intermediate · Course · 1 - 3 Months

  • 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 (365) · Intermediate · Course · 1 - 3 Months

1…131415…52

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

  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Supervised Machine Learning: Classification: IBM
  • Pricing Options with Mathematical Models: Caltech
  • Sports Performance Analytics: University of Michigan
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Mindware: Critical Thinking for the Information Age : University of Michigan
  • Guided Tour of Machine Learning in Finance: New York University
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Software Testing: University of Minnesota

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