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Results for "material science"
University of Michigan
Skills you'll gain: Python Programming, Computer Programming
Status: FreeSkills you'll gain: Docker (Software)
Skills you'll gain: Django (Web Framework), Python Programming, Web Development
Infosec
Skills you'll gain: Computer Security Incident Management
Wesleyan University
Skills you'll gain: Regression
Skills you'll gain: Computer Security Incident Management
University of California, Irvine
Skills you'll gain: Data Analysis, Data Model, General Statistics, Machine Learning, Probability & Statistics, Regression, Statistical Analysis
Status: FreeCoursera Project Network
Skills you'll gain: HTML and CSS, Javascript, Web Design, Web Development
Tecnológico de Monterrey
Skills you'll gain: Culture, Persona Research, Organizational Development, Emotional Intelligence, Continuous Integration, Critical Thinking, People Analysis, Strategy, Adaptability, Correlation And Dependence, Collaboration, Decision Making, Negotiation, Process Analysis, Communication, Leadership and Management, Natural Language Processing, Operational Analysis, Public Relations, Reinforcement Learning, Professional Development, Prospecting and Qualification, Talent Management
University of Michigan
Skills you'll gain: Leadership and Management
University of Minnesota
Skills you'll gain: Data Management, Clinical Data Management, Data Visualization
Searches related to material science
In summary, here are 10 of our most popular material science courses
- Programmation pour tous (mise en route de Python): University of Michigan
- Docker for Beginners with Hands-on labs: KodeKloud
- Advanced Django: Introduction to Django Rest Framework: Codio
- Stages of Incident Response: Infosec
- Regression Modeling in Practice: Wesleyan University
- Technical Deep Dive with Incident Response Tools: Infosec
- Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
- Build a Portfolio Website with HTML, CSS, and JavaScript: Coursera Project Network
- Liderazgo y Pensamiento Crítico: Tecnológico de Monterrey
- Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
