91 Organizational Development courses in London

This one day masterclass is designed to provide a practical application of the content that is covered within The DEI Playbook and is aimed at anyone tasked with launching and implementing diversity and inclusion within their organisation.

About this Training Course Within the energy industry, it is a requirement, both contractual and in some areas legislative, to ensure effective internal systems are in place which support employee development and provide evidence of their competence. A Competence Management and Assurance process - if correctly developed and applied - provides employees and organisations with the tools to demonstrate competence and contributes to career development of the individual. The 3 full-day course focuses on Competence Management Systems (CMS) which are typically in use within the Energy Industry, their structure and process development requirements. In addition, the course details the assessment process, the role of the competency assessors within the organisation and the relationship between competence management and training provision. For impactful learning, the course instructor uses a variety of instructional methodologies such as lectures, discussions, individual reflection, games, mystery puzzles, video, case studies, team syndication, group presentations, sharing and feedback. Training Objectives This course will provide attendees with an understanding of: The role of competencies in the Energy industry The benefits of Competency Management System to the organisation The components of a Competency of Competency Management System The know how to implement the Competency Management System The roles and responsibilities within a Competency Management System The know how to develop Competency Models The relationship between Competency Management and Capability Development The know how to conduct Organisational Analysis The know how to conduct Job Analysis and Task Analysis The know how to develop Competency Standards and Development Guides using the 70:20:10 principle The competency assessment process, tools and methodologies The know how to package and communicate the Competency Assessment Reports to Management Competency Management Case Studies in the Energy Industry Target Audience This course will benefit professionals from Human Resource and Capability Development as well as Line Managers. Course Level Basic or Foundation Trainer Your expert course leader is an independent consultant trainer with more than 30 years of experience in People & Organizational Development. She has retired from her full-time job and is currently serving as an Associate Consultant / Trainer with several Learning & Development organizations operating in Malaysia and Singapore. A chemist by training, her interest in People & Organizational Development was so intense that she decided to switch profession during her earlier years of employment, and she has never looked back since. She has gathered extensive hands-on experience, leading key projects and delivering learning programs in her field of expertise with numerous leading organizations in South East Asia, the Middle East and Europe. A project that she is particularly proud in completing was the transformation of PETRONAS Management Training Institute into a regional Leadership Centre. While leading this project, she was given the opportunity to be seconded to General Electric (GE), a Fortune 500 multinational known for its cutting-edge leadership development innovation. She was instrumental in the development of the existing leadership model for PETRONAS. In addition, she was also extensively involved in the development and implementation of Technical Competency Development process that is currently being used by more than 20 disciplines in the organization. Another massive project that she was heavily involved in was the creation of the quality culture for PETRONAS. The project saw the establishment of PETRONAS' own quality principles where she played a key role in propagating the desired mindset towards the creation of a high performing culture. Her involvement in this project took her to many PETRONAS Operating Companies which spanned into several countries across the globe including Malaysia, Indonesia, Vietnam, Sudan, South Africa and Switzerland, creating awareness through learning programs and consultancy services. The PETRONAS Quality Principles have since evolved into shared values that are now known as the PETRONAS Culture Beliefs. In keeping her expertise current after retiring from full-time employment since 2017, she has continued to deliver learning programs, providing coaching and consultancy services to selected Oil & Gas companies in Malaysia, Indonesia, Singapore, India, Oman and Thailand. Among her most recent work are virtual learning deliveries and consultancies during the COVID-19 pandemic to some government linked companies / agencies in Malaysia and PTT Exploration & Production Company of Thailand. Outside her professional circle, she is an avid cyclist, a jungle tracker and a mount climber. She is also an accredited trainer from the Human Resource Development Corporation (HRD CORP). POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Disciplined Agile Value Stream Consultant (DAVSC) Training Workshop The Disciplined Agile Value Stream Consultant workshop teaches you how to use value stream management to create a tailored approach for any organization to accelerate delivery of value to their customers. It provides a combination of Lean, Flow, Theory of Constraints and Organizational Development theories and practices. The workshop integrates with the Disciplined Agile tool kit to provide those practices that will be most effective for where it is applied, whether it be a new Agile transition or continuing a stagnated SAFe® or Spotify one. What You Will Learn After the completion of this course, you will be able to: Learn to determine the best place for an organization to start - portfolio management, product management or development area Be equipped to tailor an organization's improvement plan based on their unique needs, while also attending to the culture of the organization to evolve at their proper pace Be able to train an organization to continue to improve on their own Know how to accelerate value delivery at scale Be prepared to take the Disciplined Agile Value Stream Consultant (DAVSC) exam and earn valuable, credible certification. Your exam fee is included in tuition. The course is comprised of an introduction and 14 lessons and supplemental materials provided electronically: Introduction: The Disciplined Agile Mindset Lesson 1: Value Stream Consultant: Role and Work Lesson 2: The Idealized Value Stream Lesson 3: Removing Delays in the Workflow Lesson 4: The Minimum Business Increment Lesson 5: The Discovery Workflow and the Development Intake Process Lesson 6: Value Flow Planning and Coordination Lesson 7: Working with a Common Cadence and Synchronization Lesson 8: End of Increment Activities and Reducing, Not Accommodating Dependencies Lesson 9: Factors for Effective Value Streams Lesson 10: Value Creation Structure Lesson 11: Agile Budgeting and Lean Funding Lesson 12: Creating Visibility Across the Organization Lesson 13: Key Roles Lesson 14: The Disciplined Agile Playbook

Change Management Practitioner 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. What You Will Learn You'll learn how to: Understand the key principles in defining what is to be learned by all involved in a change initiative Describe the project environment in which change is governed and delivered Understand the organizational 'levers', adoption approaches, and reinforcing systems typically used to sustain change Improve your ability to pass the APMG Change Management Practitioner Certification exam Getting Started Introductions Course structure Course goals and objectives Learning and Change Defining and managing the required learning to enable change The Project Management Environment Understanding the project environment Identifying key roles Developing a change delivery plan Sustaining Change How levers enable the adoption of change Types of levers (Environmental levers, Leadership levers, and Organizational Development levers) Models of adoption and reinforcing systems APMG Change Management Practitioner Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Practitioner Exam Traditional Classroom: The exam is taken and submitted to APMG for marking. Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course.

The “ISO 14298:2021 Lead Implementer Course” is designed to provide participants with the knowledge and skills necessary to lead the implementation of a Security Printing Management System based on ISO 14298:2021. This comprehensive course covers the key principles, requirements, and best practices for establishing and maintaining an effective security printing management system. Participants will learn how to develop, implement, and manage processes that comply with the ISO 14298 standard.

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

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Overview This course examines the major tools, techniques, and principles aimed at improving quality and productivity in the public sector. To provide students with practical methods for improving public organizations, this course will cover accountability systems, performance measurement, pay-for-performance reward systems, contracting out, and organizational assessment

Overview This course is specially designed to enhance generic auditing skills and to attain the necessary skills as required and implementation to be a certified Internal Auditor. It is not aimed at any particular ISO Management Standard or process.  Objective Improve their knowledge of best practices in the audit industry Validate their proficiency and skills in audit Differentiate themselves from their peers and create a unique advantage for themselves Set the precedence for continued improvement and advancement Recognise and apply the International Standards for the Professional Practice of Internal Auditing Become a more competent professional who is knowledgeable in organizational governance