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.

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Regression Analysis, Maternal Health, Data Quality
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Advanced Mathematics, Materials science, Physics, Physical Science, Mathematical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Customer Acquisition Management, Marketing Analytics, Branding, Brand Management, Customer Engagement, Target Audience, Lead Generation, Customer Insights, Marketing Channel, Marketing, Web Analytics, Brand Loyalty, Marketing Strategies, Campaign Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection
Beginner · Course · 3 - 6 Months