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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 University of Edinburgh

      Philosophy, Science and Religion: Science and Philosophy

      Skills you'll gain: Research, Scientific Methods, Science and Research, General Science and Research, Biology, Systems Thinking, Anthropology, Cultural Responsiveness, Psychology, Sociology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Colorado Boulder

      Anti-Racism

      Skills you'll gain: Community Outreach, Social Justice, Discussion Facilitation, Diversity Awareness, Advocacy, Diversity Equity and Inclusion Initiatives, Community Development, Diversity Training, Interviewing Skills, Cultural Sensitivity, Cultural Diversity, Interpersonal Communications, Sociology, Intercultural Competence, Multimedia

      4.7
      Rating, 4.7 out of 5 stars
      ·
      298 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California, Davis

      Managing as a Coach

      Skills you'll gain: Coaching, Employee Coaching, People Management, Leadership and Management, Leadership Development, Leadership, Mentorship, Critical Thinking, Emotional Intelligence, Decision Making, Self-Awareness, Adaptability, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Interprofessional Healthcare Informatics

      Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Electronic Medical Record, Health Care, Health Information Management, Community Health, Health Systems, Public Health, Data Ethics, Nursing, Information Privacy, Medical Terminology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      313 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      Chicken Behaviour and Welfare

      Skills you'll gain: Ethical Standards And Conduct, Behavior Management, Behavioral Health, Learning Theory, Human Learning, Health Assessment, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      C++ For C Programmers, Part B

      Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), Computer Programming, C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      327 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IE Business School

      Brand Identity and Strategy

      Skills you'll gain: Brand Strategy, Branding, Logo Design, Brand Management, Target Audience, Consumer Behaviour, Value Propositions, Marketing, Marketing Psychology, Marketing Strategies, Competitive Analysis, Color Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      844 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Epidemiology for Public Health

      Skills you'll gain: Epidemiology, Clinical Trials, Research Design, Clinical Research, Public Health, Preventative Care, Data Collection, Biostatistics, Research Methodologies, Program Evaluation, Research, General Medical Tests and Procedures, Probability & Statistics, Risk Analysis, Quantitative Research, Health Policy, Correlation Analysis, Science and Research, Statistical Methods, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Graph Analytics for Big Data

      Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Data Structures, Query Languages, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    Probability Theory learners also search

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    1…303132…157

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

    • Philosophy, Science and Religion: Science and Philosophy: The University of Edinburgh
    • Algorithms, Part I: Princeton University
    • Anti-Racism: University of Colorado Boulder
    • Managing as a Coach: University of California, Davis
    • Interprofessional Healthcare Informatics : University of Minnesota
    • Chicken Behaviour and Welfare: The University of Edinburgh
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Statistical Methods for Computer Science: Johns Hopkins University
    • C++ For C Programmers, Part B: University of California, Santa Cruz
    • Brand Identity and Strategy: IE Business School

    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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