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

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

  • Status: Preview

    Stanford University

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Problem Solving, Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

  • Status: Preview

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

  • Illinois Institute of Technology

    Skills you'll gain: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Application, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Big Data, Deep Learning, Bayesian Statistics, Statistical Inference, Technical Communication, Regression Analysis, Data Validation

  • Status: Free Trial

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Big Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Scalability

  • Status: Preview

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

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