Bayesian Statistics

Bayesian Statistics is a theoretical framework for interpreting statistical data using probabilities. Coursera's Bayesian Statistics catalogue teaches you how to apply the core principles of Bayesian thinking to real-world statistical problems. You'll learn about Bayesian inference and modeling, probability distributions, and the decision-making process in uncertain situations. Furthermore, you'll gain skills in computational techniques and probabilistic programming languages. This knowledge can be utilized in various fields, such as data analysis, machine learning, and artificial intelligence, strengthening your ability to make informed decisions based on data.
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Explore the Bayesian Statistics Course Catalog

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

  • Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

  • Status: New

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis

What brings you to Coursera today?

  • Status: New
    Status: Free Trial

    Skills you'll gain: Bayesian Statistics, Machine Learning Algorithms, Statistical Analysis, Data Visualization, Statistical Inference, Data Analysis, Regression Analysis, Data Cleansing, Analytics, Statistical Modeling, Machine Learning, Statistical Software, R Programming, Data Science, Statistical Programming, Statistical Methods, R (Software), Data Validation, Data Manipulation, Exploratory Data Analysis

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Python Programming

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Statistical Analysis, R Programming, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Correlation Analysis, Descriptive Statistics, Data Visualization

  • Status: Free Trial

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Modeling, Statistical Software, Statistical Programming, Statistical Methods, Regression Analysis, Statistical Inference, R Programming, Numerical Analysis, Sampling (Statistics), Markov Model, Probability, Simulations, Probability Distribution

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • University of California, Santa Cruz
  • University of Colorado Boulder
  • Duke University
  • Illinois Tech
  • Meta
  • University of Michigan
  • DeepLearning.AI