Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Quality Management, Quality Management Systems, Continuous Improvement Process, Kaizen Methodology, Supplier Quality Management, Process Improvement, Quality Assurance, Quality Control, Lean Manufacturing, Customer experience improvement, Employee Engagement, Supplier Relationship Management, Statistical Process Controls
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Large Language Modeling, Generative AI, Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Competitive Analysis, Healthcare Industry Knowledge, Stakeholder Analysis, Medical Devices, Market Opportunities, Innovation, Clinical Assessment, Market Analysis, Report Writing, Revenue Forecasting, Financial Modeling, Cost Benefit Analysis, Business Valuation, Regulatory Affairs, Intellectual Property
Mixed · Course · 1 - 3 Months

Emory University
Skills you'll gain: Rmarkdown, Knitr, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Responsible AI, Generative AI, AI Workflows, Data Ethics, Model Evaluation, Data Governance, Governance, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Organizational Strategy, Social Impact, Benchmarking, Emerging Technologies
Beginner · Course · 1 - 3 Months

University of Virginia
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Machine Learning, Data Preprocessing
Intermediate · Project · Less Than 2 Hours

Duke University
Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Natural Language Processing, Infrastructure as Code (IaC), DevOps, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
Mixed · Course · 1 - 4 Weeks