Coursera
Online DegreesFind your New CareerFor EnterpriseFor Universities
  • Browse
  • Top Courses
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Probability Theory
    Related topics:probabilitybinomial distributiondiscrete mathematicsgraphprobabilistic graphical modelsanalytics

    Filter by

    777 results for "probability theory"

    • University of Colorado Boulder

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: General Statistics, Probability Distribution, Probability & Statistics

      4.3

      (55 reviews)

      Intermediate · Course · 1-3 Months

    • Stanford University

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Advertising, Algebra, Algorithms, Bayesian Network, Bayesian Statistics, Behavioral Economics, Business Psychology, Communication, Computer Architecture, Computer Programming, Data Analysis, Decision Making, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, General Statistics, Graph Theory, Leadership and Management, Machine Learning, Marketing, Mathematics, Modeling, Other Programming Languages, Probability, Probability & Statistics, Probability Distribution, Theoretical Computer Science

      4.6

      (1.5k reviews)

      Advanced · Specialization · 3+ Months

    • University of Colorado Boulder

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Business Analysis, Calculus, Estimation, General Statistics, Probability & Statistics, Probability Distribution, Spreadsheet Software

      4.3

      (67 reviews)

      Intermediate · Specialization · 3+ Months

    • Free

      Duke University

      Duke University

      Data Science Math Skills

      Skills you'll gain: Bayesian Statistics, Theoretical Computer Science, Mathematical Theory & Analysis, Probability, Factorial, Computational Logic, Graph Theory, Probability Distribution, Probability & Statistics, Mathematics, General Statistics, Algebra

      4.5

      (10.2k reviews)

      Beginner · Course · 1-3 Months

    • Duke University

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Statistical Programming, Bayesian Statistics, Probability, R Programming, Data Analysis, Experiment, Probability & Statistics, General Statistics, Analysis, Probability Distribution

      4.7

      (5.1k reviews)

      Beginner · Course · 1-3 Months

    • Stanford University

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Behavioral Economics, Entrepreneurship, Bayesian, Modeling, Computer Programming, Leadership and Management, Other Programming Languages, Business Psychology, Data Analysis, General Statistics, Probability, Advertising, Marketing, Decision Making, Feature Engineering, Mathematics, Machine Learning, Probability & Statistics, Graph Theory, Probability Distribution, Communication

      4.6

      (1.4k reviews)

      Advanced · Course · 1-3 Months

    • Placeholder

      Free

      University of Zurich

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Bayesian Statistics, Data Analysis, Chi-Squared Distribution, Probability, Machine Learning, General Statistics, Probability & Statistics, Probability Distribution, Studentized Residual, Basic Descriptive Statistics, Bayesian Network

      4.8

      (1.3k reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      New York University

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Statistical Programming, Reinforcement Learning, Computer Programming, Theoretical Computer Science, Tensorflow, Finance, Probability & Statistics, Machine Learning

      3.8

      (624 reviews)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Stanford University

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Computer Architecture, Inference, Distributed Computing Architecture, Machine Learning, Mathematics, Probability & Statistics, General Statistics

      4.6

      (469 reviews)

      Advanced · Course · 1-3 Months

    • Placeholder
      Stanford University

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: General Statistics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Bayesian Network, Probability & Statistics, Algebra, Machine Learning, Mathematics

      4.6

      (292 reviews)

      Advanced · Course · 1-3 Months

    • Placeholder
      Johns Hopkins University

      Johns Hopkins University

      Uncertainty and Research

      Skills you'll gain: General Statistics, Research and Design, Experiment, Probability & Statistics

      Beginner · Course · 1-3 Months

    • Placeholder
      EIT Digital

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Data Management, Analysis, Algorithms, Data Structures, Theoretical Computer Science, Geometry, Mathematics

      4.5

      (17 reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to probability theory

    probability theory: foundation for data science
    1234…65

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

    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Probabilistic Graphical Models: Stanford University
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Data Science Math Skills: Duke University
    • Introduction to Probability and Data with R: Duke University
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • An Intuitive Introduction to Probability: University of Zurich
    • Guided Tour of Machine Learning in Finance: New York University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Probabilistic Graphical Models 3: Learning: Stanford University

    Frequently Asked Questions about Probability Theory

    • Probability theory is a division of the mathematics field that's focused on analyzing random or uncertain distributions and phenomena. It doesn't predict a specific outcome from the data that's offered, but it tells analysts several different potential outcomes. It does this by applying mathematical equations to predict the things that may happen as a result of the information. Probability theory offers a scientific process that can be used to make an educated guess as to the most likely outcome, or event.‎

    • It's important to learn about probability theory because it can help improve your critical thinking skills. It can also help you make better decisions and help you with taking control of potential outcomes and risks. This can be beneficial in both your professional career and in your everyday life. If you're interested in a career in science, probability theory is a vital part of scientific reasoning that you'll use frequently in your career. It's also an interesting topic to learn about and to discuss with peers.‎

    • Taking online courses on Coursera can help you learn probability theory by presenting each step of the learning process in a logical order that you can pass through from beginner-level courses through intermediate and advanced courses. If you already have an understanding of data science and advanced math skills, you move right to the courses you need to upgrade or refresh your skills. You also can take the courses at your own pace, so you're never rushed, and you can make sure you have a solid understanding of each concept before progressing to the next.‎

    • If you're a highly analytical person who enjoys mathematics, probability theory may be right for you. It's also right for you if your goal is to work in the field of data science, statistical analysis, or data manipulation. Additionally, it's a useful study area if you want to work in finance or at a high-level accounting job.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
    Other topics to explore
    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Start or advance your career

    • Google Data Analyst
    • Google Project Management
    • Google UX Design
    • Google IT Support
    • IBM Data Science
    • IBM Data Analyst
    • IBM Data Analytics with Excel and R
    • IBM Cybersecurity Analyst
    • IBM Data Engineering
    • IBM Full Stack Cloud Developer
    • Facebook Social Media Marketing
    • Facebook Marketing Analytics
    • Salesforce Sales Development Representative
    • Salesforce Sales Operations
    • Intuit Bookkeeping
    • Preparing for Google Cloud Certification: Cloud Architect
    • Preparing for Google Cloud Certification: Cloud Data Engineer
    • Launch your career
    • Prepare for a certification
    • Advance your career

    Browse popular topics

    • Free Courses
    • Learn a Language
    • Python
    • Java
    • Web Design
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • Project Management
    • Cybersecurity
    • Human Resources
    • Data Science Free Courses
    • Speaking English
    • Content Writing
    • Full Stack Web Development
    • Artificial Intelligence
    • C Programming
    • Communication Skills
    • Blockchain
    • See all courses

    Popular courses and articles

    • Skills for Data Science Teams
    • Data Driven Decision Making
    • Software Engineering Skills
    • Soft Skills for Engineering Teams
    • Management Skills
    • Marketing Skills
    • Skills for Sales Teams
    • Product Manager Skills
    • Skills for Finance
    • Popular Data Science Courses in the UK
    • Beliebte Technologiekurse in Deutschland
    • Popular Cybersecurity Certifications
    • Popular IT Certifications
    • Popular SQL Certifications
    • Marketing Manager Career Guide
    • Project Manager Career Guide
    • Python Programming Skills
    • Web Developer Career Guide
    • Data Analyst Skills
    • Skills for UX Designers

    Earn a degree or certificate online

    • MasterTrack® Certificates
    • Professional Certificates
    • University Certificates
    • MBA & Business Degrees
    • Data Science Degrees
    • Computer Science Degrees
    • Data Analytics Degrees
    • Public Health Degrees
    • Social Sciences Degrees
    • Management Degrees
    • Degrees from Top European Universities
    • Master's Degrees
    • Bachelor's Degrees
    • Degrees with a Performance Pathway
    • Bsc Courses
    • What is a Bachelor's Degree?
    • How Long Does a Master's Degree Take?
    • Is an Online MBA Worth It?
    • 7 Ways to Pay for Graduate School
    • See all certificates

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Coronavirus Response

    Community

    • Learners
    • Partners
    • Developers
    • Beta Testers
    • Translators
    • Blog
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    Learn Anywhere
    Download on the App StoreGet it on Google Play
    Placeholder
    © 2022 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder