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

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

  • Status: New
    Status: Preview

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

  • 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, Databases, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Applied Machine Learning, Data Analysis

  • Status: New
    Status: Free Trial

    Birla Institute of Technology & Science, Pilani

    Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics

  • 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

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Revenue Management, Large Language Modeling, Database Design, Data Governance, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Gerontology, Social Network Analysis, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Social Determinants Of Health, Risk Analysis, Plot (Graphics), Unsupervised Learning, Bayesian Statistics, Digital Transformation, Spatial Data Analysis

  • 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

  • Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

  • 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

  • Illinois Institute of Technology

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

  • Status: Preview

    Stanford University

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

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