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    • Probability Theory

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    867 results for "probability theory"

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      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Algorithms, Theoretical Computer Science, Data Management, Data Structures, Geometry, Mathematics

      4.4

      (18 reviews)

      Intermediate · Course · 1-4 Weeks

    • Free

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      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Algorithms, Theoretical Computer Science, Data Management, Data Structures, Strategy and Operations, Accounting, Generally Accepted Accounting Principles (GAAP)

      4.6

      (57 reviews)

      Advanced · Course · 1-3 Months

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      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Data Science, Computer Science, Probability & Statistics, Combinatorics, Mathematics, Data Analysis, Statistical Analysis, General Statistics, Bayesian Statistics, Computer Programming, Python Programming, Correlation And Dependence, Estimation, Probability Distribution, Computational Thinking, Theoretical Computer Science, Business Analysis, Computational Logic, Critical Thinking, Machine Learning, Markov Model, Mathematical Theory & Analysis, Research and Design, Statistical Programming, Strategy and Operations

      4.6

      (808 reviews)

      Beginner · Course · 1-3 Months

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      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Business Process Management, Data Management, Data Structures, Statistical Programming, Strategy and Operations, Data Analysis, Database Application, Databases, Entrepreneurship, Extract, Transform, Load, Linear Algebra, Mathematics, Probability & Statistics, Probability Distribution, Python Programming, Business Psychology, Computer Programming, Data Engineering, Data Science, General Statistics, Leadership and Management, Machine Learning, Organizational Development, Problem Solving, Research and Design

      4.3

      (146 reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Machine Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Statistical Machine Learning, Algebra, Computer Vision, Data Engineering, Data Science, Deep Learning, Econometrics, Mathematics, Python Programming, Tensorflow

      4.4

      (67 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Algorithms, Cloud Computing, Dimensionality Reduction, Machine Learning, Theoretical Computer Science, Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Feature Engineering, Probability & Statistics, Statistical Analysis, Statistical Visualization, Data Engineering, Data Science, Python Programming

      4.3

      (66 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Computer Programming, Applied Machine Learning, Data Analysis, Machine Learning, Application Development, Cloud Computing, Forecasting, General Statistics, Kubernetes, Probability & Statistics, Software Engineering, Software Testing, Artificial Neural Networks, Computer Vision, Data Engineering, Data Science, Deep Learning, Dimensionality Reduction, Docker (Software), Feature Engineering, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Python Programming

      4.5

      (41 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Data Visualization, Exploratory Data Analysis, Statistical Analysis, Data Engineering, Data Science, Machine Learning, Python Programming

      4.2

      (97 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Data Management, Machine Learning, Applied Machine Learning, Cloud API, Cloud Applications, Cloud Computing, Computer Programming, Cross Platform Development, Mobile Development, Operations Management, Python Programming, Statistical Programming, Strategy and Operations, Data Engineering, Data Science, Javascript, Journalism, Software Engineering, Web Development

      4.2

      (48 reviews)

      Advanced · Course · 1-4 Weeks

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      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Theoretical Computer Science

      4.7

      (29 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Data Analysis, Experiment, Statistical Analysis, Machine Learning, Business Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Machine Learning Algorithms, Data Management, Statistical Machine Learning, Mathematics, Data Mining, Deep Learning, Econometrics, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Computer Programming, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL

      Credit offered

      Graduate Certificate · 6-12 Months

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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

    Searches related to probability theory

    probability theory: foundation for data science
    1234…73

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

    • Geometric Algorithms: EIT Digital
    • I/O-efficient algorithms: EIT Digital
    • Combinatorics and Probability: University of California San Diego
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • AI Workflow: AI in Production: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • AI Workflow: Enterprise Model Deployment: IBM
    • Approximation Algorithms: EIT Digital

    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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