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    • Probability Theory

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    869 results for "probability theory"

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      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Probability & Statistics, Experiment, General Statistics, Business Analysis, Data Analysis, Statistical Analysis, Statistical Tests, Econometrics, Regression, Calculus, Linear Algebra

      4.1

      (8 reviews)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Text Generation with Markov Chains in Python

      Skills you'll gain: Computer Programming, Machine Learning, Markov Model, Python Programming, Statistical Programming

      5.0

      (6 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Experiment, Business Analysis, Data Analysis, Statistical Analysis, Mathematics, Statistical Tests, Econometrics, Machine Learning, Machine Learning Algorithms, Calculus, Communication, Linear Algebra, Marketing, R Programming, SQL

      4.1

      (31 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of California San Diego

      Delivery Problem

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Graph Theory, Mathematics, Algorithms, Programming Principles, Theoretical Computer Science, Communication

      4.7

      (358 reviews)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

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

      4.5

      (12 reviews)

      Intermediate · Course · 1-4 Weeks

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      Sungkyunkwan University

      Machine Learning Algorithms

      Mixed · Course · 1-4 Weeks

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      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Programming, Python Programming, Algorithms, Machine Learning, Theoretical Computer Science, Applied Machine Learning, Computer Science, Data Science, General Statistics, Probability & Statistics, Probability Distribution, Artificial Neural Networks, Linear Algebra, Mathematics, Application Development, Applied Mathematics, Calculus, Computational Logic, Differential Equations, Geometry, Machine Learning Algorithms, Software Engineering, Communication, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Vision, Decision Making, Deep Learning, Entrepreneurship, Estimation, Feature Engineering, Graph Theory, Leadership and Management, Machine Learning Software, Mathematical Theory & Analysis, Network Model, Planning, Statistical Programming, Supply Chain and Logistics

      4.7

      (3.2k reviews)

      Advanced · Specialization · 3-6 Months

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      Duke University

      Bayesian Statistics

      Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Regression, Mathematics, Statistical Programming, R Programming, Probability Distribution

      3.8

      (787 reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Mathematics, Research and Design, Entrepreneurship, Leadership and Management, Marketing, Sales, Strategy, Strategy and Operations, Probability & Statistics

      4.6

      (4.4k reviews)

      Beginner · Course · 1-3 Months

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      Erasmus University Rotterdam

      Introduction to Economic Theories

      Skills you'll gain: Risk Management, Behavioral Economics, Business Psychology, Econometrics, Probability & Statistics

      4.5

      (301 reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Programming, Regression, Deep Learning, Data Analysis, Artificial Neural Networks, Applied Machine Learning, Correlation And Dependence, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algorithms, Reinforcement Learning, Theoretical Computer Science, Basic Descriptive Statistics, Data Mining, Feature Engineering, General Statistics, Natural Language Processing, Computer Programming, Data Management, Data Structures, Dimensionality Reduction

      3.0

      (30 reviews)

      Intermediate · Specialization · 3-6 Months

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      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

    Searches related to probability theory

    probability theory: foundation for data science
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    In summary, here are 10 of our most popular probability theory courses

    • ANOVA and Experimental Design: University of Colorado Boulder
    • Text Generation with Markov Chains in Python: Coursera Project Network
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Delivery Problem: University of California San Diego
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Machine Learning Algorithms: Sungkyunkwan University
    • Self-Driving Cars: University of Toronto
    • Bayesian Statistics: Duke University
    • Game Theory: Stanford University
    • Introduction to Economic Theories: Erasmus University Rotterdam

    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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