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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


  • D

    Duke University

    Think Again III: How to Reason Inductively

    Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    464 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Semiconductor Physics

    Skills you'll gain: Semiconductors, Electrical Engineering, Materials science, Electronic Components, Physics, Electronics, Applied Mathematics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    300 reviews

    Advanced · Course · 1 - 4 Weeks

  • N

    Northwestern University

    High Performance Collaboration: Leadership, Teamwork, and Negotiation

    Skills you'll gain: Leadership, Negotiation, Organizational Leadership, Teamwork, Leadership Development, Leadership and Management, Team Management, Team Building, People Development, Collaboration, Professional Development, Employee Coaching, Personal Development, Emotional Intelligence, Decision Making, Goal Setting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    Scrimba

    Frontend Development

    Skills you'll gain: Responsive Web Design, JSON, User Interface (UI) Design, Color Theory, Cascading Style Sheets (CSS), HTML and CSS, Restful API, Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Event-Driven Programming, User Interface (UI), Web Design, Typography, Web Applications, Application Programming Interface (API), React.js, Web Design and Development, Web Development Tools, Javascript, Web Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    572 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), C++ (Programming Language), Algorithms, File I/O, C (Programming Language), Computational Thinking, Graph Theory, Computer Architecture, Program Development, Programming Principles, Theoretical Computer Science, Computer Programming, Data Storage, Computer Science, Database Systems, Performance Tuning, File Systems, Information Management, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    292 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to Microsoft Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Data Manipulation, Expense Management, Budgeting, Inventory Management System, Data Management, Data Visualization, Data Analysis, Business Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    86 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of California San Diego

    Comparing Genes, Proteins, and Genomes (Bioinformatics III)

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Computer Programming Tools, Graph Theory, Mathematical Modeling, Python Programming, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Deep Teaching Solutions

    Uncommon Sense Teaching

    Skills you'll gain: Instructional Strategies, Teaching, Education and Training, Learning Strategies, Pedagogy, Classroom Management, Lecturing, Learning Theory, Differentiated Instruction, Student Engagement, Human Learning, Stress First Aid, Time Management, Mental Concentration, Student-Centred Learning, Adaptability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    673 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    312 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    228 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Think Again III: How to Reason Inductively: Duke University
  • Semiconductor Physics: University of Colorado Boulder
  • High Performance Collaboration: Leadership, Teamwork, and Negotiation: Northwestern University
  • Frontend Development: Scrimba
  • 程序设计与算法: Peking University
  • Deep Learning and Reinforcement Learning: IBM
  • Introduction to Microsoft Excel: Coursera
  • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
  • Uncommon Sense Teaching: Deep Teaching Solutions
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University

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