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    • Bayesian Statistics

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    81 resultados referentes a "bayesian statistics"

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      University of California, Santa Cruz

      Bayesian Statistics

      Habilidades que você terá: Analysis, Bayesian, Bayesian Statistics, Business Analysis, Data Analysis, Econometrics, Estimation, Forecasting, General Statistics, Graph Theory, Inference, Machine Learning, Markov Model, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming

      4.6

      (3.2k avaliações)

      Intermediate · Specialization · 3-6 Months

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      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Habilidades que você terá: Regression, Bayesian, Bayesian Statistics, General Statistics, Inference, Probability, Probability & Statistics, Estimation, Studentized Residual, Analysis, Probability Distribution

      4.6

      (3k avaliações)

      Intermediate · Course · 1-4 Weeks

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      Duke University

      Bayesian Statistics

      Habilidades que você terá: Probability & Statistics, Regression, Bayesian Statistics, Statistical Programming, R Programming, Inference, Mathematics, Linearity, General Statistics, Bayesian, Linear Regression, Probability Distribution

      3.8

      (778 avaliações)

      Intermediate · Course · 1-3 Months

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      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Habilidades que você terá: Business Analysis, Statistical Analysis, Statistical Programming, Data Analysis, Regression, R Programming, Mathematics, Markov Model, Bayesian, General Statistics, Bayesian Statistics, Probability & Statistics, Econometrics, Graph Theory, Machine Learning, Statistical Machine Learning, Probability Distribution

      4.8

      (442 avaliações)

      Intermediate · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 3: Learning

      Habilidades que você terá: Bayesian Statistics, General Statistics, Bayesian Network, Probability & Statistics, Machine Learning

      4.6

      (292 avaliações)

      Advanced · Course · 1-3 Months

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      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Habilidades que você terá: General Statistics, Forecasting, Probability & Statistics

      Intermediate · Course · 1-3 Months

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      Gratuito

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      University of Pennsylvania

      Network Dynamics of Social Behavior

      Habilidades que você terá: Artificial Neural Networks, Mathematics, Machine Learning, Business Psychology, User Research, Marketing, Design and Product, Research and Design, Behavioral Economics, Entrepreneurship, Graph Theory, Influencing, Human Computer Interaction, Communication, Market Research, Network Analysis

      4.6

      (341 avaliações)

      Beginner · Course · 1-3 Months

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      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Habilidades que você terá: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Machine Learning, Probability Distribution, Machine Learning

      4.6

      (31 avaliações)

      Intermediate · Course · 1-3 Months

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      Databricks

      Introduction to Bayesian Statistics

      Habilidades que você terá: Bayesian, Hypothesis, Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Probability

      3.3

      (24 avaliações)

      Beginner · Course · 1-4 Weeks

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      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Advanced · Course · 1-4 Weeks

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      DeepLearning.AI, Stanford University

      Machine Learning

      Habilidades que você terá: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Linearity, Logistic Regression, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.9

      (2.4k avaliações)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Deep Learning

      Habilidades que você terá: Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Decision Making, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Network Architecture, Network Model, Object Detection, Probability & Statistics, Project Management, Python Programming, Regression, Sales, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.3k avaliações)

      Intermediate · Specialization · 3-6 Months

    Pesquisas relacionadas a bayesian statistics

    bayesian statistics: techniques and models
    bayesian statistics: from concept to data analysis
    bayesian statistics: mixture models
    bayesian statistics: time series analysis
    bayesian statistics: capstone project
    introduction to bayesian statistics
    1234…7

    Em resumo, aqui estão 10 dos nossos cursos mais populares bayesian statistics

    • Bayesian Statistics: University of California, Santa Cruz
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Bayesian Statistics: Duke University
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Network Dynamics of Social Behavior: University of Pennsylvania
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Introduction to Bayesian Statistics: Databricks
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz

    Habilidades que você pode aprender em Probability And Statistics

    Linguagem R (19)
    Inferênciainferência (16)
    Regressão Linear (12)
    Análise Estatística (12)
    Inferência Estatística (11)
    Análise De Regressão (10)
    Bioestatísticabioestatísticas (9)
    Bayesiana (7)
    Regressão Logística (7)
    Distribuição De Probabilidade (7)
    Estatísticas Médicas (6)

    Perguntas frequentes sobre Estatística Bayesiana

    • Bayesian Statistics is an approach to statistics based on the work of the 18th century statistician and philosopher Thomas Bayes, and it is characterized by a rigorous mathematical attempt to quantify uncertainty. The likelihood of uncertain events is unknowable, by definition, but Bayes’s Theorem provides equations for the statistical inference of their probability based on prior information about an event - which can be updated based on the results of new data.

      While its origins lie hundreds of years in the past, Bayesian statistical approaches have become increasingly important in recent decades. The calculations at the heart of Bayesian statistics require intensive numerical integrations to solve, which were often infeasible before low-cost computing power became more widely accessible. But today, statisticians can evaluate integrals by running hundreds of thousands of simulation iterations with Markov chain Monte Carlo methods on an ordinary laptop computer.

      This new accessibility of computational power to quantify uncertainty has enabled Bayesian statistics to showcase its strength: making predictions. This capability is critical to many data science applications, and especially to the training of machine learning algorithms to create predictive analytics that assist with real-world decision-making problems. As with other areas of data science, statisticians often rely on R programming and Python programming skills to solve Bayesian equations.‎

    • Bayesian statistical approaches are essential to many data science and machine learning techniques, making an understanding of Bayes’ Theorem and related concepts essential to careers in these fields.

      If you wish to dive more deeply into the theoretical aspects of Bayesian statistics and the modeling of probability more generally, you can also pursue a career as a statistician. These experts may work in academia or the private sector, and usually have at least a master’s degree in mathematics or statistics. According to the Bureau of Labor Statistics, statisticians earn a median annual salary of $91,160.‎

    • Absolutely. Coursera gives you opportunities to learn about Bayesian statistics and related concepts in data science and machine learning through courses and Specializations from top-ranked schools like Duke University, the University of California, Santa Cruz, and the National Research University Higher School of Economics in Russia. You can also learn from industry leaders like Google Cloud, or through Coursera’s own exclusive Guided Projects, which let you build skills by completing step-by-step tutorials taught by expert instructors.

      Regardless of your needs, the combination of high-equality education, a flexible schedule, and low tuition costs leaves no uncertainty about the value of learning about Bayesian statistics on Coursera.‎

    • A background in statistics and certain areas of math, like algebra, can be extremely helpful when learning Bayesian statistics. This includes knowledge of and experience with statistical methods and statistical software. Any type of experience working with data, especially on a large scale, can also help. Classes, degrees, or work experience in biostatistics, psychometrics, analytics, quantitative psychology, banking, and public health can also be beneficial, especially if you plan to enter a career that centers around one of these topics or a related field. However, they aren't necessary for learning about Bayesian statistics in general.‎

    • People who aspire to work in roles that use Bayesian statistics should have analytical minds and a passion for using data to help other businesses and other people. You'll need good computer skills and a passion for statistics. You'll also need to be a good multitasker with excellent time management skills as well as someone who is highly organized. Good problem-solving skills are a must, as is flexibility. There are times when you may have total autonomy over your job and others when you're working with a team. That means you'll also need great interpersonal skills and the ability to communicate well, both verbally and in writing.‎

    • Anyone who works with data or seeks a career working with data may be interested in learning Bayesian statistics. Many companies that seek employees to work in fields involving statistics or big data prefer someone who understands and can implement the theories of Bayesian statistics to someone who can't. These companies typically offer competitive salaries and benefits and room for career advancement. Careers that may use Bayesian statistics also tend to have a good outlook for the future. Best of all, learning about this topic can open you up to jobs in numerous industries, ranging from banking and finance to health care and biostatistics.‎

    Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.
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