2627 Evaluation courses

The “ISO 22301:2019 Lead Implementer ” course provides comprehensive training in the ISO 22301:2019 standard and all its requirements from the Implementer ’s point of view, as well as basic skills necessary to execute the requirements. It’s a practical-oriented training that should be considered “a must” for every ISO 22301:2019 Implementer. This intensive course is specifically designed to participants to serve as ISO 22301:2019 Lead Implementers. The interactive training program, complete with quizzes, will provide the necessary technical knowledge and understanding of all ISO 22301:2019 requirements to implement the requirement of the standard.

Enhance your knowledge of exploration and production in oil & gas with EnergyEdge's course. Ideal for new engineers and non-technical professionals.

Learn how to predict reservoir distribution, geometry, and quality with EnergyEdge's comprehensive course. Enroll now to enhance your skills and knowledge.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Self-evaluation - find out how you can get it right.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).