13,247 results for "pr"
École Polytechnique
Skills you'll gain: Data Collection, Design Research
Skills you'll gain: Javascript (Programming Language), Front End (Software Engineering), Computer Programming, Javascript and jQuery, Web Development Tools
Coursera Project Network
Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Services
Skills you'll gain: Management, Communications, Operations Management, Project Management, Strategic Planning, Business Communication, Collaboration, Quality Management, Risk Management, Project Engineering, Project Planning, Strategic Thinking
Johns Hopkins University
Skills you'll gain: R (Programming Language), Statistical Programming, Data Analysis Software
Universidad de los Andes
Skills you'll gain: Cybersecurity, Enterprise Security, IT Security Architecture
University of Colorado Boulder
Skills you'll gain: Project Management, Agile Methodology, Initiative and Leadership, Risk Management, Business Communications, Business Leadership, Emotional Intelligence, Quality Management, Supplier Relationship Management
École Polytechnique
Skills you'll gain: Data Collection, Design Research
- Status: Free
University of London
Skills you'll gain: Probability and Statistics, Statistical Hypothesis Testing, Statistics
Johns Hopkins University
Skills you'll gain: Clinical Data Management, Clinical Trials, Medical Office Procedures
- Status: Free
University of North Texas
In summary, here are 10 of our most popular pr courses
- How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
- Programming with JavaScript: Meta
- Create a Profile and Network on LinkedIn: Coursera Project Network
- Project Execution: Running the Project: Google
- R Programming: Johns Hopkins University
- Programación en Python: Universidad de los Andes
- Cybersecurity Roles, Processes & Operating System Security: IBM
- Project Management: University of Colorado Boulder
- Comment rédiger et publier un article scientifique (Enseignement par projet): École Polytechnique
- Probability and Statistics: To p or not to p?: University of London