
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

Skills you'll gain: UI/UX Research, Usability Testing, Presentations, User Experience Design, User Research, Data Ethics, User Centered Design, Research Design, Prototyping, Research Methodologies, Wireframing, Information Privacy
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Jupyter, Computer Programming Tools, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Social Network Analysis, Data Structures, Network Analysis, Network Model
Intermediate · Course · 1 - 3 Months

Skills you'll gain: OpenShift, Kubernetes, Cloud Management, Network Administration, Cloud Computing Architecture, Virtual Networking, Containerization, Network Troubleshooting, System Configuration, API Testing
Beginner · Course · 1 - 3 Months

Meta
Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface (UI), User Experience, Mobile Development, Design Research, React.js, Web Development Tools, Javascript
Beginner · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: People Analytics, Descriptive Analytics, Financial Statement Analysis, Business Analytics, Data-Driven Decision-Making, Customer Analysis, Human Capital, Human Resource Strategy, Operations Research, Financial Analysis, Marketing Analytics, Analytics, Operational Efficiency, Predictive Analytics, Customer Insights, Financial Data, Operational Analysis, Peer Review, Human Resources, Financial Accounting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Performance Measurement, Search Engine Marketing, Content Performance Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Business Metrics, Marketing Strategy and Techniques, Digital Marketing, Customer Engagement, Keyword Research, Customer experience strategy (CX), Digital Advertising, Marketing, E-Commerce, Online Advertising, Email Marketing, Marketing Analytics
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks