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    • Probability Theory

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    874 results for "probability theory"

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      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

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

      4.4

      (105 reviews)

      Intermediate · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Probability & Statistics, Machine Learning, Bayesian Network, General Statistics, Markov Model, Bayesian Statistics, Probability Distribution, Computer Architecture, Distributed Computing Architecture, Leadership and Management, Other Programming Languages, Computer Programming, Machine Learning Algorithms, Statistical Machine Learning, Applied Machine Learning, Correlation And Dependence, Behavioral Economics, Business Psychology, Data Analysis, Graph Theory, Mathematics, Algebra, Geovisualization

      4.6

      (1.5k reviews)

      Advanced · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Calculus, Estimation, Mathematics, Business Analysis, Differential Equations, Econometrics, Spreadsheet Software

      4.4

      (139 reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      Duke University

      Data Science Math Skills

      Skills you'll gain: Mathematics, Probability & Statistics, General Statistics, Algebra, Bayesian Statistics, Computational Logic, Data Visualization, Graph Theory, Mathematical Theory & Analysis, Plot (Graphics), Probability Distribution, Theoretical Computer Science

      4.5

      (11k reviews)

      Beginner · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Probability & Statistics, General Statistics, Machine Learning, Bayesian Network, Markov Model, Leadership and Management, Probability Distribution, Bayesian Statistics, Computer Programming, Behavioral Economics, Business Psychology, Data Analysis, Graph Theory, Machine Learning Algorithms, Mathematics, Other Programming Languages, Statistical Machine Learning

      4.6

      (1.4k reviews)

      Advanced · Course · 1-3 Months

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      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Data Analysis, Statistical Analysis, Correlation And Dependence, Experiment, R Programming, Basic Descriptive Statistics, Bayesian Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization, Exploratory Data Analysis, Statistical Programming

      4.7

      (5.4k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of Zurich

      An Intuitive Introduction to Probability

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

      4.8

      (1.5k reviews)

      Beginner · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Probability & Statistics, Bayesian Network, Machine Learning, Markov Model, Computer Architecture, Distributed Computing Architecture, Applied Machine Learning, Bayesian Statistics, Correlation And Dependence, General Statistics, Other Programming Languages, Probability Distribution, Geovisualization, Machine Learning Algorithms, Statistical Machine Learning

      4.6

      (478 reviews)

      Advanced · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Machine Learning, Bayesian Network, Probability & Statistics, General Statistics, Bayesian Statistics, Machine Learning Algorithms, Statistical Machine Learning, Algebra, Markov Model

      4.6

      (297 reviews)

      Advanced · Course · 1-3 Months

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      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Machine Learning, Algorithms, Finance, Theoretical Computer Science, Machine Learning Algorithms, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Data Analysis, Deep Learning, Financial Analysis, Machine Learning Software, Tensorflow, Statistical Machine Learning

      3.8

      (649 reviews)

      Intermediate · Course · 1-4 Weeks

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      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Machine Learning, Markov Model

      3.8

      (321 reviews)

      Intermediate · Course · 1-4 Weeks

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      Johns Hopkins University

      Uncertainty and Research

      Skills you'll gain: Entrepreneurship, Probability & Statistics, Research and Design, General Statistics, Strategy and Operations, Business Analysis, Critical Thinking, Design and Product, Experiment, Product Management, Marketing, Sales

      4.8

      (6 reviews)

      Beginner · Course · 1-3 Months

    Searches related to probability theory

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


      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.
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