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Over 100 results for "user+information"
Skills you'll gain: Machine Learning, Applied Machine Learning, Data Analysis, Data Management, Data Model, Machine Learning Algorithms, Security Engineering, System Security
Microsoft
Queen Mary University of London
Skills you'll gain: Cloud Computing
The State University of New York
Skills you'll gain: Research and Design, Communication, Visual Design, Writing, Critical Thinking, Graphic Design, Project Management
EIT Digital
Skills you'll gain: Semantic Web, Web Development
University of Minnesota
Skills you'll gain: Human Computer Interaction, Research and Design, User Experience, User Experience Design, User Research
University of California, Irvine
Skills you'll gain: Security Strategy, Critical Thinking, Network Security, Software Security
Skills you'll gain: Cryptography, Security Strategy
Howard University
Skills you'll gain: Marketing
University of Minnesota
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Probability & Statistics, Machine Learning, Applied Machine Learning, Natural Language Processing, Statistical Analysis, Statistical Programming, Microsoft Excel
Skills you'll gain: Finance, Planning, Risk Management, Financial Management, Cash Management, Accounting, Taxes
University of Illinois Urbana-Champaign
Skills you'll gain: Accounting, Leadership and Management, Cost Accounting, Account Management, Financial Analysis, Management Accounting, Strategy and Operations
In summary, here are 10 of our most popular user+information courses
- Artificial Intelligence Privacy and Convenience:Â LearnQuest
- Designing for User Experience:Â Microsoft
- Cloud Computing Law: Data Protection and Cybersecurity:Â Queen Mary University of London
- Applied Digital Literacy:Â The State University of New York
- Web of Data:Â EIT Digital
- Introduction to UI Design:Â University of Minnesota
- Data, Security, and Privacy:Â University of California, Irvine
- Data Security for Web Developers:Â Codio
- Foundations of Information Systems for Business:Â Howard University
- Introduction to Recommender Systems: Non-Personalized and Content-Based:Â University of Minnesota