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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 Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Collection, Performance Measurement, Regression Analysis, Probability, Statistics, Process Improvement, Quality Improvement, Business Process, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    828 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Computer Communications

    Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Planning And Design, Network Security, Network Architecture, Computer Networking, Network Infrastructure, Network Performance Management, Wireless Networks, Graph Theory, Telecommunications, Software-Defined Networking, Algorithms, System Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • N

    New York Institute of Finance

    Operational Risk Management: Frameworks & Strategies

    Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Risk Modeling, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Regulatory Requirements, Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    430 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, System Testing, Test Case, Test Automation, Development Testing, Test Planning, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Data

    4.3
    Rating, 4.3 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • 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, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

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

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    63 reviews

    Beginner · Course · 1 - 4 Weeks

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1…121314…52

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

  • Self-Driving Cars: University of Toronto
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • Supervised Machine Learning: Regression: IBM
  • Supervised Machine Learning: Classification: IBM
  • Computer Communications: University of Colorado System
  • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance
  • Introduction to Software Testing: University of Minnesota
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Computer Vision Basics: University at Buffalo

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