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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


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    Yale University

    Introduction to Classical Music

    Skills you'll gain: Music History, Classical Music, Music, Music Theory, Musical Composition, Instrumental Music, Performing Arts, Art History, Aesthetics, Storytelling, Liberal Arts

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.1K reviews

    Mixed · Course · 1 - 3 Months

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    University of Rochester

    Introduction to Self-Determination Theory: An approach to motivation, development and wellness

    Skills you'll gain: Self-Motivation, Self-Awareness, Motivational Skills, Social Sciences, Mindfulness, Health And Wellness Coaching, Personal Development, Learning Theory, Economics, Policy, and Social Studies, Human Development, Psychology, Employee Engagement, Cultural Diversity, School Psychology, Goal Setting, Goal-Oriented, Coaching, Psychotherapy, Child Development, Relationship Building

    4.8
    Rating, 4.8 out of 5 stars
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    529 reviews

    Beginner · Course · 1 - 3 Months

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    National Taiwan University

    賽局與產業競爭策略 (Game Theory and Business Strategy)

    Skills you'll gain: Game Theory, Strategic Thinking, Business Strategy, Business Strategies, Business, Strategic Decision-Making, Decision Making, Case Studies, Negotiation

    5
    Rating, 5 out of 5 stars
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    37 reviews

    Beginner · Course · 1 - 3 Months

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    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Theoretical Computer Science, Classification Algorithms, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Statistical Machine Learning, Computer Science, Decision Tree Learning, Generative Adversarial Networks (GANs), Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    62 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Probability Distribution, R (Software), Statistics, Statistical Methods, Data Science, Database Management, Relational Databases, R Programming, Python Programming, NumPy, Data Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    75K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Google Sheets, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    180K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Learning Theory, Productivity, Quick Learning, Growth Mindedness, Mental Concentration, Creativity, Cognitive flexibility, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Advanced Mathematics, Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Mathematics Education, Deductive Reasoning, General Mathematics, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to Classical Music: Yale University
  • Introduction to Self-Determination Theory: An approach to motivation, development and wellness: University of Rochester
  • 賽局與產業競爭策略 (Game Theory and Business Strategy): National Taiwan University
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Data Science Fundamentals with Python and SQL: IBM
  • Google Data Analytics: Google
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Introduction to Mathematical Thinking: Stanford University

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