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    • Bayesian Statistics

    Bayesian Statistics Courses Online

    Understand Bayesian statistics for data analysis and decision making. Learn to apply Bayesian methods to real-world problems.

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    Explore the Bayesian Statistics Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Statistical Analysis and Advanced Techniques

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Statistical Methods, R Programming, Data Presentation, Data Analysis, Statistical Inference, Descriptive Statistics, Forecasting, Generative AI

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Applied Machine Learning, Text Mining, Supervised Learning, Dimensionality Reduction, Regression Analysis, Feature Engineering, Bayesian Statistics, Machine Learning Algorithms, Artificial Intelligence, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Customer Analytics

      Skills you'll gain: Customer Analysis, Marketing Analytics, Customer Insights, Business Analytics, Data-Driven Decision-Making, Analytics, Predictive Analytics, Descriptive Analytics, Consumer Behaviour, Data Analysis, Advanced Analytics, Business Analysis, Revenue Management, Descriptive Statistics, Data Collection, Predictive Modeling, Regression Analysis, Process Improvement and Optimization, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 1

      Skills you'll gain: Data Visualization, Probability & Statistics, Data Analysis, Bayesian Statistics, Statistics, Statistical Analysis, Biostatistics, Statistical Methods, Probability, Statistical Inference, Probability Distribution, Statistical Hypothesis Testing, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      517 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Markov Model, Bayesian Statistics, Statistical Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Probability & Statistics, Simulations, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Statistical Methods, Data Manipulation, NumPy, Statistical Analysis, Data Science, Sampling (Statistics), Probability & Statistics, Unstructured Data, Statistical Hypothesis Testing, Python Programming, Data Cleansing, Data Analysis, Data Import/Export, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, GitHub, Software Architecture, Bash (Scripting Language), Development Environment, Git (Version Control System), Version Control, Software Design, Software Engineering, Shell Script, Linux, Flask (Web Framework), Software Development Methodologies, Software Design Patterns, Systems Development, Jupyter, Web Scraping, Application Deployment, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Descriptive Statistics, Correlation Analysis, Statistical Inference

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      254 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Sampling (Statistics), Statistical Inference, Machine Learning Methods, Markov Model, Graph Theory, Probability & Statistics, Algorithms, Probability Distribution, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Public Health, Quantitative Research, Science and Research, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      643 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      375 reviews

      Mixed · Course · 1 - 4 Weeks

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    1…8910…111

    In summary, here are 10 of our most popular bayesian statistics courses

    • Statistical Analysis and Advanced Techniques: Microsoft
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Customer Analytics: University of Pennsylvania
    • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Introduction to Data Science in Python: University of Michigan
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Applied Software Engineering Fundamentals: IBM
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Probabilistic Graphical Models 2: Inference: Stanford University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

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