
Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization
Beginner · Course · 1 - 3 Months

King Abdullah University of Science and Technology
Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation
Beginner · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing
Intermediate · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Risk Management, Cyber Governance, Cost Benefit Analysis, Security Management, Risk Management Framework, Vulnerability Management, Cyber Attacks, Cybersecurity, Threat Management, Cyber Risk, Operational Risk, Risk Analysis, Enterprise Risk Management (ERM), Business Risk Management, Risk Mitigation, Cyber Threat Intelligence, Vulnerability Assessments, ISO/IEC 27001, Threat Detection, Threat Modeling
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Agentic systems, Responsible AI, Compliance Management, Governance, Regulatory Compliance, Artificial Intelligence, Risk Analysis, Case Studies, Business Ethics, Ethical Standards And Conduct, Risk Management, Accountability, Regulatory Requirements
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks