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.
20credentials
6online degrees
45courses

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Explore the Bayesian Statistics Course Catalog

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

  • Status: Free Trial

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

  • Skills you'll gain: Data Ethics, Data Storytelling, Statistical Machine Learning, Data Presentation, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Methods, Statistical Visualization, Data Literacy, Classification And Regression Tree (CART), Network Analysis, Data Visualization, Data Manipulation, Data Analysis, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Algorithms, Bayesian Statistics, Network Architecture, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

  • Status: Free Trial

    University of Washington

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

  • 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: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • University of Pittsburgh

    Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Matplotlib, Data Governance, Regression Analysis, Data Processing, Data Analysis