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
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
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: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
Status: Free TrialSkills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Status: PreviewNortheastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: Free TrialJohns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Status: Free TrialSkills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation
In summary, here are 10 of our most popular bayesian statistics courses
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Computational and Graphical Models in Probability: Johns Hopkins University
- Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
- Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
- Engineering Probability and Statistics Part 2: Northeastern University
- Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
- Data Analytics Engineering: Probability & Techniques: Northeastern University
- Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
- Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
- Naive Bayes 101: Resume Selection with Machine Learning: Coursera
