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    • Probability

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    1407 results for "probability"

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      IBM Skills Network

      IBM Data Analyst

      Skills you'll gain: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.2k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (9.3k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      Introduction to Data Science

      Skills you'll gain: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Application, Big Data, Computer Programming, Database Administration, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing

      4.6

      (78.3k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      Skills you'll gain: Data Science, Cloud Computing, Applied Machine Learning, Cloud Engineering, Cloud Infrastructure, Data Mining, Regression, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, DevOps, IBM Cloud, Network Security, Software As A Service, Software Engineering, Basic Descriptive Statistics, Data Analysis, Big Data, BlockChain, Computer Architecture, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Operating Systems, Probability & Statistics, Security Engineering, Software Architecture, Software Framework, Storytelling, System Programming, Theoretical Computer Science, Writing

      4.7

      (74.6k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM AI Foundations for Business

      Skills you'll gain: Data Science, Applied Machine Learning, Data Management, Leadership and Management, Data Architecture, Data Mining, Machine Learning, Regression, Artificial Neural Networks, Basic Descriptive Statistics, Cloud Computing, Cloud Platforms, Data Analysis, Database Administration, Databases, Deep Learning, Big Data, Computer Vision, General Statistics, Innovation, Machine Learning Algorithms, Probability & Statistics, Storytelling, Writing

      4.7

      (71.7k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM & Darden Digital Strategy

      Skills you'll gain: Entrepreneurship, Strategy and Operations, Business Analysis, Business Transformation, Leadership and Management, Marketing, Sales, Strategy, Data Science, Cloud Computing, Data Analysis, Data Management, Research and Design, Applied Machine Learning, Business Design, Big Data, Market Analysis, Cloud Engineering, Cloud Infrastructure, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Innovation, Basic Descriptive Statistics, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, Data Mining, Data Structures, Data Visualization, Data Warehousing, DevOps, General Statistics, IBM Cloud, Machine Learning, Mathematics, Network Security, Probability & Statistics, Software As A Service, Software Engineering, Apache, BlockChain, Business Psychology, Change Management, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Visualization Software, Deep Learning, Design and Product, Digital Marketing, Extract, Transform, Load, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning Algorithms, Microsoft Excel, Operating Systems, Organizational Development, Product Strategy, Professional Development, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (24.3k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Business Analysis, Microsoft Excel, Probability & Statistics, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Accounting, Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (15.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (138.3k reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Accounting, Apache, Computer Programming, Extract, Transform, Load, Interactive Data Visualization, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (15k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science

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

      4.6

      (43.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering

      4.8

      (77k reviews)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting

      4.9

      (8k reviews)

      Beginner · Course · 1-4 Weeks

    Searches related to probability

    probability and statistics
    probability and statistics: to p or not to p?
    probability theory: foundation for data science
    probability & statistics for machine learning & data science
    using probability distributions for real world problems in r
    introduction to probability and data with r
    combinatorics and probability
    an intuitive introduction to probability
    1…456…84

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

    • IBM Data Analyst: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • Introduction to Data Science: IBM Skills Network
    • Key Technologies for Business: IBM Skills Network
    • IBM AI Foundations for Business: IBM Skills Network
    • IBM & Darden Digital Strategy: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Deep Learning: DeepLearning.AI
    • Data Analysis and Visualization Foundations: IBM Skills Network
    • Applied Data Science: IBM Skills Network

    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.‎

    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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