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    • Probability Theory

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    867 results for "probability theory"

    • Free

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      University of London

      Probability and Statistics: To p or not to p?

      Skills you'll gain: General Statistics, Probability & Statistics, Experiment, Decision Making, Entrepreneurship, Leadership and Management, Probability Distribution, Data Management, Data Structures, Machine Learning, Markov Model, Theoretical Computer Science

      4.6

      (1.4k reviews)

      Beginner · Course · 1-3 Months

    • Free

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      National Taiwan University

      頑想學概率:機率一 (Probability (1))

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

      4.8

      (334 reviews)

      Beginner · Course · 1-3 Months

    • Free

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      The Chinese University of Hong Kong

      Information Theory

      Skills you'll gain: Business Psychology, Entrepreneurship, Human Learning, Probability & Statistics, Probability Distribution

      4.7

      (124 reviews)

      Mixed · Course · 3-6 Months

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      University of Colorado System

      Cryptography and Information Theory

      Skills you'll gain: Cryptography, Security Engineering, Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution

      4.5

      (400 reviews)

      Intermediate · Course · 1-4 Weeks

    • Free

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      The University of Edinburgh

      Intellectual Humility: Theory

      Skills you'll gain: Business Analysis, Business Psychology, Critical Thinking, Research and Design, Strategy and Operations, Communication, Culture, Emotional Intelligence, Entrepreneurship, General Statistics, Human Learning, Leadership and Management, Mathematics, Probability & Statistics

      4.5

      (347 reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.6k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (240 reviews)

      Beginner · Specialization · 1-3 Months

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      Free

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      Yale University

      Financial Markets

      Skills you'll gain: Finance, Banking, Investment Management, Risk Management, Securities Trading, Financial Management, Regulations and Compliance, Securities Sales, Underwriting, Business Psychology, Behavioral Economics, Accounting, Adaptability, Budget Management, Innovation, Media Strategy & Planning, Resilience, Taxes, Business Analysis, Business Process Management, Corporate Accouting, Data Analysis, Entrepreneurship, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Probability & Statistics, Statistical Tests, Strategy and Operations

      4.8

      (24.5k reviews)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming

      4.4

      (202 reviews)

      Beginner · Course · 1-4 Weeks

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      Stanford University

      Algorithms

      Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Science, Mathematics, Data Structures, Graph Theory, Computer Programming, Data Management, Probability & Statistics, Computational Thinking, Probability Distribution, Entrepreneurship, General Statistics, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Operations Research, Problem Solving, Research and Design, Strategy and Operations

      4.8

      (5.6k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Probability & Statistics, Bayesian Statistics, General Statistics, Probability Distribution, Data Science, Statistical Programming, R Programming, Regression, Forecasting, Machine Learning, Markov Model, Statistical Machine Learning, Bayesian Network, Basic Descriptive Statistics, Estimation, Experiment, Correlation And Dependence, Data Visualization, Machine Learning Algorithms, Statistical Tests, Statistical Visualization, Advertising, Business Analysis, Communication, Data Analysis, Graph Theory, Marketing, Mathematics, Statistical Analysis

      4.6

      (3.3k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Mathematics, Probability & Statistics, Computer Programming, Strategy and Operations, Estimation, Leadership and Management, Theoretical Computer Science, Algorithms, Data Analysis, General Statistics, Operating Systems, Linear Algebra, Systems Design, Machine Learning, Research and Design, Software Engineering, Design and Product, Entrepreneurship, Material Handling, Product Lifecycle, Supply Chain and Logistics, Correlation And Dependence, Algebra, Data Analysis Software, Data Management, Data Model, Feature Engineering, Graph Theory, Operations Research, Probability Distribution, Software Testing, Problem Solving, Product Management, Applied Mathematics, Calculus, Mathematical Theory & Analysis, Account Management, Differential Equations, Markov Model, Matlab, Other Programming Languages, Sales, Statistical Machine Learning, System Programming, Marketing, Strategy

      4.7

      (2.3k reviews)

      Intermediate · Specialization · 3-6 Months

    Searches related to probability theory

    probability theory: foundation for data science
    1…456…73

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

    • Probability and Statistics: To p or not to p?: University of London
    • 頑想學概率:機率一 (Probability (1)): National Taiwan University
    • Information Theory: The Chinese University of Hong Kong
    • Cryptography and Information Theory: University of Colorado System
    • Intellectual Humility: Theory: The University of Edinburgh
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Financial Markets: Yale University
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Algorithms: Stanford University

    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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