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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


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    E

    EDUCBA

    Predictive Analytics with SPSS: Analyze & Apply

    Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis

    Mixed · Course · 1 - 3 Months

  • U

    University of North Texas

    Math Prep: College & Work Ready

    Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

    4.5
    Rating, 4.5 out of 5 stars
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    324 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    769 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    718 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
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    4.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Data Analysis, Supervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Predictive Modeling, Feature Engineering, Data Mining, Machine Learning, Bayesian Statistics, Probability & Statistics

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Data Analysis, Statistical Visualization, Big Data, Microsoft Excel, IBM Cognos Analytics, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Health Care, Community Health, Data Analysis, Program Evaluation, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
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    19K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
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    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Predictive Analytics with SPSS: Analyze & Apply: EDUCBA
  • Math Prep: College & Work Ready: University of North Texas
  • Estadística aplicada a los negocios: Universidad Austral
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Classification Analysis: University of Colorado Boulder
  • IBM Data Analytics with Excel and R: IBM
  • Epidemiology in Public Health Practice: Johns Hopkins University
  • Process Data from Dirty to Clean: Google
  • IBM Business Intelligence (BI) 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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