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    • Probability Theory

    Probability Theory Courses Online

    Explore probability theory for mathematical modeling. Understand concepts like random variables, independence, and conditional probability.

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    Explore the Probability Theory Course Catalog

    • U

      University of Illinois Urbana-Champaign

      Digital Marketing Analytics in Theory

      Skills you'll gain: Marketing Analytics, Web Analytics, Marketing Effectiveness, Digital Marketing, Marketing Strategies, Analytics, Marketing, Consumer Behaviour, Data Analysis, Data Visualization Software, Data Collection, Regulatory Compliance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Università Bocconi

      Arts and Heritage Management

      Skills you'll gain: Leadership and Management, Business Management, Team Management, Brand Management, Leadership Studies, Brand Strategy, Art History, Data-Driven Decision-Making, Customer Relationship Management, Consumer Behaviour, Customer experience improvement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Lean Manufacturing, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Quality Improvement, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Team Leadership

      4.6
      Rating, 4.6 out of 5 stars
      ·
      711 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Graphic Design

      Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Typography, Adobe InDesign, Design Reviews, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Editing, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Mastering Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Probability Distribution, Business Risk Management, Predictive Modeling, Regression Analysis, Risk Modeling, Business Analytics, Statistical Methods, Forecasting, Data Analysis, Probability, Financial Modeling, Classification And Regression Tree (CART)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Internet of Things and AI Cloud

      Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), Computer Vision, System Design and Implementation, Android Development, Android Studio, Telecommunications, Internet Of Things, Wireless Networks, Mobile Development, Digital Communications

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Maryland, College Park

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Introduction to Software Testing

      Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      778 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      User Interface Design

      Skills you'll gain: UI/UX Research, User Research, Design Research, User Interface (UI) Design, Usability Testing, Prototyping, User Interface (UI), User Interface and User Experience (UI/UX) Design, Usability, User Experience, User Centered Design, Graphic and Visual Design, Ideation, Web Content Accessibility Guidelines, Design, Human Computer Interaction, User Experience Design, Interaction Design, Qualitative Research, Design Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Performance Analysis, Big Data, Real Time Data, Data Science, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    Probability Theory learners also search

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    1…212223…157

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

    • Digital Marketing Analytics in Theory: University of Illinois Urbana-Champaign
    • Graph Search, Shortest Paths, and Data Structures: Stanford University
    • Arts and Heritage Management: Università Bocconi
    • Six Sigma Black Belt: Kennesaw State University
    • Graphic Design: University of Colorado Boulder
    • Mastering Data Analysis in Excel: Duke University
    • Internet of Things and AI Cloud: University of California San Diego
    • Survey Data Collection and Analytics: University of Maryland, College Park
    • Introduction to Software Testing: University of Minnesota
    • User Interface Design: University of Minnesota

    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.‎

    Online Probability Theory courses offer a convenient and flexible way to enhance your knowledge or learn new Probability Theory skills. Choose from a wide range of Probability Theory courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Probability Theory, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

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