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.

Johns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Social Media Campaigns, AI Personalization, Social Media Marketing, Generative AI, Trend Analysis, Social Media, Canva (Software), Instagram, Social Media Strategy, Market Trend, Content Creation, ChatGPT, Automation, Creativity, Customer Engagement, Analytics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Customer Analysis, Data Integration, Interactive Data Visualization, Dashboard, Data Visualization, Data Analysis, Customer Insights, Data-Driven Decision-Making, Data Analysis Software, Exploratory Data Analysis, Presentations, Analytics, Technical Communication, Data Visualization Software, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Universidad Nacional Autónoma de México
Skills you'll gain: Biology, Life Sciences, World History, Taxonomy, Mathematical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Risk Modeling, Regression Analysis, Statistical Methods, Financial Modeling, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Quantitative Research, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis
Mixed · Course · 1 - 4 Weeks
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

Erasmus University Rotterdam
Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Small Data, Qualitative Research, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots
Beginner · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months