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    • Probability

    Probability Courses Online

    Master probability theory for statistical analysis. Learn about probability distributions, expected value, and stochastic processes.

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    Explore the Probability Course Catalog

    • N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Classification And Regression Tree (CART), Machine Learning, Applied Mathematics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Probability & Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      932 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      609 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Mathematics of Democracy, Politics and Manipulation

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      373 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Case Studies in Personalized Medicine

      Skills you'll gain: Precision Medicine, Medical Science and Research, Health Informatics, Biostatistics, Electronic Medical Record, Healthcare Ethics, General Medicine, Clinical Research, Probability & Statistics, Statistical Analysis, Molecular Biology, Pharmacology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      497 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Measuring Disease in Epidemiology

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      770 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Simulation Models for Decision Making

      Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Exploratory Data Analysis with MATLAB

      Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      813 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      398 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Portfolio Selection and Risk Management: Rice University
    • The Mathematics of Democracy, Politics and Manipulation: Johns Hopkins University
    • Statistics for Genomic Data Science: Johns Hopkins University
    • Simulation and modeling of natural processes: University of Geneva
    • Case Studies in Personalized Medicine: Vanderbilt University
    • Measuring Disease in Epidemiology: Imperial College London
    • Simulation Models for Decision Making: University of Minnesota
    • Exploratory Data Analysis: University of Leeds

    Frequently Asked Questions about Probability

    It's important to learn about probability if you are interested in gambling, statistics, advanced mathematics, or data science. Probability is the understanding of the likelihood of something happening, so it is part of many careers that use data analysis or planning. It is a key part of financial analysis, statistical analysis, social sciences, and medical research. Many topics that cover probability are in computer science, but not all are. Understanding probability can help you solve the data problems faced in your organization. It can also help you understand why things happen in the world.‎

    Typical careers that use probability are those that involve numbers. Probability can help a manager build a strategic plan, a scientist understand research findings, or a politician understand polling data. Some aspects of the study of probability are of use to almost anyone who has a basic understanding of math, while others are deeply theoretical. Those working in machine learning, data science, or statistical analysis will need a deep understanding of probability. When you learn probability, you will be able to understand what sets of numbers show. This is useful in analysis, exploratory data analysis, or for building probabilistic models. It is also a part of many games, so it can be useful outside of your career.‎

    Online courses on Coursera can help you learn probability no matter your current level of math skills. Some cover an intuitive approach for beginners, while others look at statistical theories. There are classes that use specific computer languages or that apply to specific industries. For example, someone working in the social sciences may want to take different courses than someone working in machine learning. Courses include lectures, readings, and projects so that you can apply what you learn. You will have the opportunity to use data sets and to apply your learning to what you see at work or at school. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

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

    When looking to enhance your workforce's skills in Probability, 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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