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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

    • Status: Free
      Free
      T

      The Museum of Modern Art

      In the Studio: Postwar Abstract Painting

      Skills you'll gain: Art History, Creativity, Design Elements And Principles, Aesthetics, Color Theory

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

      Skills you'll gain: Strategic Decision-Making, Business Valuation, Private Equity, Mergers & Acquisitions, Game Theory, Strategic Thinking, Financial Analysis, Business Strategy, Return On Investment, Investment Banking, Cash Flows, Corporate Finance, Competitive Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Fundamentos Estratégicos Empresariales

      Skills you'll gain: Business Planning, Strategic Marketing, ISO 9000 Series, Marketing, Quality Management, Organizational Strategy, Business Strategies, Governance, Financial Analysis, Marketing Planning, Corporate Strategy, Financial Statements, Quality Management Systems, Operations Management, Organizational Structure, Working Capital, Market Analysis, Financial Controls, Market Research, Product Quality (QA/QC)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Computer Programming, Software Testing, Computer Science, Graph Theory, File Management, Artificial Intelligence, Integration Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Everyday Chinese Medicine

      Skills you'll gain: Patient Evaluation, General Medicine, Health Care, Health Assessment, Patient Education and Support, Physical Therapy, Preventative Care, Mindfulness, Nutrition and Diet, Pharmacology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 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
      ·
      781 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Control Systems, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Verification And Validation, Mathematical Modeling, Engineering Analysis, Computer Hardware, Risk Management Framework, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Deep Teaching Solutions

      Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn)

      Skills you'll gain: Learning Strategies, Critical Thinking and Problem Solving, Learning Theory, Time Management, Prioritization, Cognitive flexibility, Productivity, Growth Mindedness, Stress Management, Planning, Self-Awareness, Persistence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Algorithms on Graphs

      Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Pseudocode, Network Model

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

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

    • In the Studio: Postwar Abstract Painting: The Museum of Modern Art
    • Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital: Erasmus University Rotterdam
    • Fundamentos Estratégicos Empresariales: Universidad Nacional Autónoma de México
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • C++ For C Programmers, Part A: University of California, Santa Cruz
    • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
    • Everyday Chinese Medicine: The Chinese University of Hong Kong
    • Introduction to Software Testing: University of Minnesota
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Introduction to Self-Driving Cars: University of Toronto

    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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