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 Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Governance, Quality Assurance, Data Collection, Data Strategy, Data Preprocessing, Data Analysis, Verification And Validation, Design Strategies, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
University of Minnesota
Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Model Evaluation, Machine Learning Algorithms, Algorithms, Business Metrics
Mixed · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Data Visualization Software, Tableau Software, Exploratory Data Analysis, Data Presentation, Data Ethics, Graphic and Visual Design, Design Elements And Principles, Target Audience, Aesthetics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data Presentation, Data Storytelling, Data Analysis, Data Cleansing, Data Preprocessing, Technical Communication
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, R (Software), Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Market Research, Market Analysis, Marketing, Research Methodologies, Research, Research Design, Quantitative Research, Consumer Behaviour, Market Trend, Surveys, Customer Analysis, Qualitative Research, Forecasting, Price Negotiation, Analysis, Product Testing, Data Collection, Sampling (Statistics)
Mixed · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Simulation and Simulation Software, Digital Transformation, Systems Thinking, Complex Problem Solving, Operations Research, Predictive Analytics, Data-Driven Decision-Making, Verification And Validation, Process Optimization, Data Integration, Risk Management, Python Programming, Event-Driven Programming, Probability & Statistics, Performance Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks