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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


  • Status: Free Trial
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    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, Real Time Data, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Pennsylvania

    Business Foundations

    Skills you'll gain: Financial Statements, Operations Management, Operational Efficiency, Financial Statement Analysis, Return On Investment, Accrual Accounting, Human Capital, Process Analysis, Branding, Financial Accounting, Marketing, Process Management, People Management, Strategic Marketing, Capital Budgeting, Financial Reporting, Finance, Peer Review, Project Design, Corporate Finance

    4.7
    Rating, 4.7 out of 5 stars
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    26K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    759 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Survey Samples: Size and Methods

    Skills you'll gain: Sample Size Determination, Sampling (Statistics), Survey Creation, Quantitative Research, Research Design, Business Research, Data Collection, Statistical Methods, Statistics, Decision Making, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    California Institute of the Arts

    Fundamentals of Graphic Design

    Skills you'll gain: Visual Design, Creative Design, Color Theory, Conceptual Design, Image Analysis, Creativity, Creative Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Course · 1 - 3 Months

  • 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, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability Distribution, Data Science, Statistical Inference, Probability, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    876 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    Create High-Fidelity Designs and Prototypes in Figma

    Skills you'll gain: Figma (Design Software), User Experience Design, Mockups, User Centered Design, Usability Testing, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Prototyping, Technical Communication, Typography, Layout Design, Color Theory

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    461 reviews

    Mixed · Course · 1 - 3 Months

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

  • Algorithms: Stanford University
  • Process Data from Dirty to Clean: Google
  • Generative AI Fundamentals: IBM
  • Business Foundations: University of Pennsylvania
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Survey Samples: Size and Methods: Coursera
  • Fundamentals of Graphic Design: California Institute of the Arts
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • The Power of Statistics: Google
  • Create High-Fidelity Designs and Prototypes in Figma: Google

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