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.

Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Social Media Marketing, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

Tecnológico de Monterrey
Skills you'll gain: Education Software and Technology, Digital pedagogy, Technology Solutions, Emerging Technologies, Innovation, Technology Strategies, Solution Design, Trend Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Data Visualization Software, Data Analysis, Data Mining, Exploratory Data Analysis, Databases
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Manufacturing Operations, Production Planning, Digital Transformation, Technology Strategies, Business Modeling, Product Lifecycle Management, Internet Of Things, Simulation and Simulation Software, Emerging Technologies, Real Time Data, Trend Analysis, Risk Analysis, Business
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, User Experience Design, Technical Communication, Cybersecurity, Healthcare Ethics, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Ethical Standards And Conduct, Information Privacy, Responsible AI, Analysis
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability
Intermediate · Course · 1 - 3 Months