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.

Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Course · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Analysis, Image Analysis, Data Cleansing, Descriptive Analytics, Reinforcement Learning, Business Analytics, Statistical Methods, Machine Learning, Data Collection
Beginner · Specialization · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Clinical Data Management, Electronic Data Capture (EDC), Data Management, Data Collection, Case Report Forms, Data Sharing, Health Informatics, Data Strategy, Data Quality, Good Clinical Practices (GCP), Sampling (Statistics), Data Integrity, Data Validation, Regulatory Compliance
Beginner · Course · 1 - 3 Months

Universitat Autònoma de Barcelona
Skills you'll gain: Persuasive Communication, Oral Expression, Storytelling, Data Presentation, Research, Graphic and Visual Design, Persona (User Experience), Statistics, Psychology
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, 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), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Universidad de los Andes
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference
Intermediate · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Graphing, Data Synthesis, Data Analysis, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Classification Algorithms, Data-Driven Decision-Making, Business Analytics, Data Analysis, Model Evaluation, Business Risk Management, Financial Analysis
Beginner · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control
Beginner · Course · 1 - 3 Months