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 Minnesota
Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Process Mapping, Statistical Methods, Research Methodologies, Business Research, Complex Problem Solving, Project Design, Statistical Inference, Data Ethics, Prioritization, Project Planning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Target Audience, Facebook, Social Media, Persona Development, Social Media Marketing, Social Media Strategy, Customer Insights, Presentations, Web Analytics, Marketing Budgets
Intermediate · Guided Project · Less Than 2 Hours

University of Lausanne
Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies
Beginner · Course · 1 - 3 Months

Packt
Skills you'll gain: Spatial Analysis, Geographic Information Systems, Scripting, Geospatial Mapping, Dashboard, Data Visualization Software, Data Processing, Interactive Data Visualization, Data Manipulation, Cascading Style Sheets (CSS)
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Geospatial Information and Technology, Data Mapping
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Facebook, Target Audience, Customer Insights, Online Advertising, Advertising Campaigns, Digital Advertising, Customer Analysis, Advertising, Market Opportunities, Business Metrics, Content Performance Analysis, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Beginner · Course · 1 - 4 Weeks