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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


  • U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Job Skills
    Job Skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    178K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Popular This Week
    Popular This Week
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Data Analysis Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • S

    Stanford University

    Introduction to Mathematical Thinking

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra

    Beginner · Course · 1 - 4 Weeks

  • Y

    Yale University

    Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator

    Skills you'll gain: Negotiation, Contract Negotiation, Conflict Management, Mediation, Leadership, Communication, Persuasive Communication, Influencing, Relationship Building, Collaboration, Game Theory, Strategic Decision-Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Mixed · Course · 1 - 3 Months

  • S

    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
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, Stakeholder Communications, LLM Application, Systems Architecture, Solution Architecture, Real Time Data, AI Workflows, AI Personalization, Software Architecture, Stakeholder Analysis, Systems Thinking, Responsible AI, Business Communication, Machine Learning, Project Documentation, Context Management, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Principles of Data Science

    Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity

    Beginner · Course · 3 - 6 Months

  • T

    The Hong Kong University of Science and Technology

    Discrete Mathematical Tools for Computer Science

    Skills you'll gain: Probability, Computational Logic, Combinatorics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Mathematical Software, Mathematical Theory & Analysis, Cryptography, Logical Reasoning, Deductive Reasoning, Computational Thinking, Computer Science, Encryption, Data Structures, Arithmetic, General Mathematics, Public Key Cryptography Standards (PKCS), Problem Solving, Cybersecurity

    Beginner · Specialization · 3 - 6 Months

1…151617…255

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

  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Google Data Analytics: Google
  • Data Science Fundamentals with Python and SQL: IBM
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Mathematical Thinking: Stanford University
  • Business Statistics and Analysis: Rice University
  • Applied Mathematical Methods for Computing: University of London
  • Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator: Yale University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Generative AI for IT Systems Analysts and Architects: IBM

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