Change Management Practitioner: Virtual In-House Training A successful Practitioner candidate should, with suitable direction, be able to start applying the Change Management™ approaches and techniques to a real change initiative; however, s/he may not be sufficiently skilled to do this appropriately for all situations. His/her individual Change Management expertise, complexity of the change initiative, and the support provided for the use of Change Management approaches in their work environment will all be factors that impact what the Practitioner can achieve. This course will further develop some of the knowledge of Change Management learned during the Foundation certification. You will consider what learning is required and how best to design and deliver it. Then the course will provide an understanding of how Change Management fits into the project management environment. A major challenge with change is making it stick. The course will show how to sustain change by understanding the levers for change, models of adoption, and reinforcing systems. This course also prepares you for the APMG Change Management Practitioner exam. Given that a primary course goal is to achieve the Practitioner Certification, daily homework assignments and practice exams will be provided. The Practitioner-level exam is taken at the end of the second day of the Traditional Classroom course.
The workshop provides practical tips and tools that can be used in any organization's project scheduling practices for predictive, hybrid, and agile approaches. In these expanded sessions, you will also have time to practice your exam-taking skills with coaching from a credentialed instructor.
This half day online course will assist candidates in preparing for the forthcoming initial Casework Assistant exam.
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).
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).
This module aims to develop knowledge and understanding of the role of logistics including an understanding of air, sea, road and rail freight and courier services. It will explore the advantages and disadvantages of using the different modes of transport the world of international trade.