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  • Bayesian Statistics

Bayesian Statistics Courses

Bayesian statistics courses can help you learn probability distributions, Bayesian inference, and statistical modeling. You can build skills in hypothesis testing, predictive analytics, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Stan, which are commonly used for implementing Bayesian methods and analyzing data. You'll also explore concepts like Markov Chain Monte Carlo (MCMC) techniques and Bayesian networks, equipping you with practical knowledge for data-driven decision-making in various fields.


Popular Bayesian Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    User Experience Research and Design

    Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    ¿Cómo persuadir? Jugando con palabras, imágenes y números

    Skills you'll gain: Persuasive Communication, Oral Expression, Storytelling, Data Presentation, Research, Graphic and Visual Design, Persona (User Experience), Statistics, Psychology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Business Writing

    Skills you'll gain: Business Writing, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Persuasive Communication, Communication Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    How Did We Get Here?The Development of Analytics in Football

    Skills you'll gain: Analytics, Performance Analysis, Descriptive Analytics, Business Analytics, Data-Driven Decision-Making, Data Analysis, Media and Communications, Analysis, Predictive Analytics, Performance Measurement, Data Collection, Small Data, Big Data, Spatial Analysis, Research, Performance Reporting, Learning Styles, Innovation, Leadership, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Outbreaks and Epidemics

    Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Case Studies, Laboratory Testing, Statistical Analysis, Research Methodologies, Statistics, Report Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    772 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Methods for Quality Improvement

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Public Health, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Systems Analyst

    Skills you'll gain: Data Storytelling, Process Mapping, Process Analysis, Business Analysis, Data Presentation, Business Process Improvement, Interactive Data Visualization, Feasibility Studies, Data Visualization, Systems Analysis, Stakeholder Analysis, Process Optimization, Requirements Management, Systems Design, Stakeholder Engagement, Information Technology, Release Management, Business Process Modeling, Database Management, Agile Methodology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • User Experience Research and Design: University of Michigan
  • ¿Cómo persuadir? Jugando con palabras, imágenes y números: Universitat Autònoma de Barcelona
  • IBM Machine Learning: IBM
  • Business Writing: University of Colorado Boulder
  • How Did We Get Here?The Development of Analytics in Football: Real Madrid Graduate School Universidad Europea
  • Outbreaks and Epidemics: Johns Hopkins University
  • Data Science Methods for Quality Improvement: University of Colorado Boulder
  • Logistic Regression in R for Public Health: Imperial College London
  • Getting Started with SAS Programming: SAS
  • IBM Systems Analyst: IBM

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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