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 TrialStanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health
Status: Free TrialJohns Hopkins University
Skills you'll gain: Biostatistics, Logistic Regression, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Statistical Modeling, Probability & Statistics, Statistical Inference, Risk Analysis
Status: Free TrialJohns Hopkins University
Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Status: PreviewColumbia University
Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis
Status: PreviewEindhoven University of Technology
Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming
Searches related to bayesian statistics
In summary, here are 10 of our most popular bayesian statistics courses
- Probabilistic Graphical Models 2: Inference: Stanford University
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
- Hypothesis Testing in Public Health : Johns Hopkins University
- Simple Regression Analysis in Public Health : Johns Hopkins University
- Summary Statistics in Public Health : Johns Hopkins University
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
- Fitting Statistical Models to Data with Python: University of Michigan
- Causal Inference 2: Columbia University
