328 Leadership courses in Grays

Agile project management, already widely used for software development, is increasingly recognised as having much more general application. Continuous improvement programmes, business change projects, new technology development, research and development and a variety of other scenarios characterised by rapid change and high uncertainty can all benefit from an Agile approach. This programme presents the concepts and methods of Agile project management, and shows how to apply them to a range of project and change management situations. Participants will learn: how Agile project management can help with project and change management the 4 values and 12 principles of the Agile 'manifesto' and the range of Agile methodologies how to apply Agile project management methods and techniques in a range of project scenarios alternative Agile project management methods and how they can be applied and adapted what makes Agile project teams succeed the key roles and responsibilities needed to enable Agile project teams to work effectively how to encourage an Agile mindset within their organisation and how to move toward an Agile approach to managing projects 1 Introduction to Agile project management Overview of 'classical' project management and methodologies The link between project success and management performance Limitations of classical approaches and the need for Agile methods The 4 values and 12 principles of the Agile manifesto explained Agile project management values:Individuals and interactions over processes and toolsWorking outputs over comprehensive documentationCustomer collaboration over contract negotiationResponding to change over following a plan The cultural challenges of using Agile project management Choosing when and how to adopt Agile project management 2 Initiating a project using Agile project management Some key Agile methodologies explained: SCRUM, XP, Crystal Identifying and engaging project stakeholders; defining roles and responsibilities Setting the project vision and goals; defining project scope The Agile approach to requirements capture and elicitation of needs Tools and techniques for capturing and characterising requirements The role of documentation, reporting and process management 3 The Agile approach to definition and planning Understanding Agile planning; the 'planning onion' concept Developing the culture needed for collaborative involvement and iterative planning Defining project deliverables; the 'product backlog' concept Tools and techniques for defining and prioritising requirements in Agile projects Understanding and applying Agile estimating techniques Dealing with uncertainty and managing risks 4 The Agile approach to execution and delivery The results orientated, fast adapting culture of Agile teams The monthly 'Sprint' process for project planning and review The disciplines needed for effective daily SCRUM meetings Reviewing progress, managing change and project reporting Testing, completing and handing over of work packages Managing the interface between the project team and the business 5 Leadership and teamwork in Agile project teams Why Agile teams are different: the importance of individuals and interactions The skills and attributes needed to lead an Agile project team The challenges faced and skills needed by Agile team members Recognising team development needs; adopting the right leadership style Making the transition from project manager to Agile coach Key coaching skills explored: mentoring, facilitating, managing conflict

Gain the clarity and confidence to take on inspections successfully with this actionable workshop.

Introduction to Project Management This course provides practical insights into what is project management and how it is performed in a structured manner. This course provides practical insights into what is project management and how it is performed in a structured manner. You will learn how projects are selected, initiated, planned, executed, monitored and control, as well as closed, which could serve you ubiquitously. The goal of this course is to provide a minimally essential orientation to practical project management concepts, tools, and techniques. You will be provided with enough of these that can be applied from both a project manager and a key stakeholder perspective. What you Will Learn You will learn how to: Articulate on the basics of the project management profession Explain project management terms and concepts in practice Speak on how projects originate in mature organizations Employ a disciplined approach to initiating, planning, and managing projects to closure Identify and describe the roles and responsibilities of key project stakeholders Consider standard project processes to implement based upon the PMBOK® Guide Getting Started Introductions Course orientation Participants' expectations Foundation Concepts Key terms and concepts Organizational framework Leadership framework Originating and Initiating Originating projects Initiating projects Planning Planning overview Scope and quality planning Resources and risk planning Schedule and cost planning Project baselining Executing and Controlling Executing Monitoring and Controlling Closing Project closing overview Closing administratively Closing financially Summary and Next Steps Review of goals, objectives, key concepts, and expectations Evaluations

Introduction to Project Management: In-House Training This course provides practical insights into what is project management and how it is performed in a structured manner. This course provides practical insights into what is project management and how it is performed in a structured manner. You will learn how projects are selected, initiated, planned, executed, monitored and control, as well as closed, which could serve you ubiquitously. The goal of this course is to provide a minimally essential orientation to practical project management concepts, tools, and techniques. You will be provided with enough of these that can be applied from both a project manager and a key stakeholder perspective. What you Will Learn You will learn how to: Articulate on the basics of the project management profession Explain project management terms and concepts in practice Speak on how projects originate in mature organizations Employ a disciplined approach to initiating, planning, and managing projects to closure Identify and describe the roles and responsibilities of key project stakeholders Consider standard project processes to implement based upon the PMBOK® Guide Getting Started Introductions Course orientation Participants' expectations Foundation Concepts Key terms and concepts Organizational framework Leadership framework Originating and Initiating Originating projects Initiating projects Planning Planning overview Scope and quality planning Resources and risk planning Schedule and cost planning Project baselining Executing and Controlling Executing Monitoring and Controlling Closing Project closing overview Closing administratively Closing financially Summary and Next Steps Review of goals, objectives, key concepts, and expectations Evaluations

Portfolio Management Executive Briefing The central focus is to provide insight, direction, and motivation that enables organizational leadership to effectively align and connect an organization's investments in business change (projects and programs) at all levels (strategic, tactical, and operational) through utilization of a portfolio management system. Furthermore, this program provides clarity and key guidance necessary to select and support the right executive-level portfolio management champion - the key sponsor, overseer, and leader for achieving and sustaining organizational effectiveness and expected business value that is derived through portfolio management. What You Will Learn At the end of this program, you will be able to: List the benefits of portfolio management State the importance of linking strategic objectives with the initiatives in the organization Initiate activities for the introduction of portfolio management in an organization through a PMO or similar Establish or improve a portfolio governance structure Articulate the need to participate in Stage Gate Reviews Demonstrate the importance of Multi-criteria Analysis Describe the main functions and structure of the portfolio definition and delivery boards Foundation Concepts Benefits Portfolio Life Cycles Portfolio Categories Portfolio Infrastructure Setup, Structure, and Roles and Responsibilities Multi-criteria Analysis About Optimism Bias Portfolio Operations Portfolio Governance, Delivery Board Stage Gate Reviews (coupled to funding) Approaches to Implementing Portfolio Management Implementation approaches Champion role Maturity levels

About this training Carbon Capture and Storage (CCS) is an upcoming new technology that has a vital place within global efforts to decarbonise. It has a unique set of challenges, opportunities and risks to be understood and accommodated within appropriate legal, regulatory, and social and public license frameworks. The course has a strong international and global south emphasis with case studies on CCS projects and will touch on the role of CCS in developing country energy transition. The course satisfies a part of the market that is not currently catered for - the wider science, risks, financing, regulation, planning and social license aspects of CCS. These are issues that are as important as the technical issues in the sense that any of them can be a show-stopper for CCS. Training Objectives Upon completion of this course, participants will be able to: Place CCS within the context of the global geological carbon cycle and the contribution to could make to carbon abatement Explore the basic engineering and other challenges and solutions of CO2 transport and capture Recognize the geological challenges and solutions of CO2 storage Learn the methods of geological and environmental monitoring of CCS sites and why monitoring is important Understand the policy and finance challenges and solutions of CCS projects Know the importance of social license to operate and how to gain a social license to operate Target Audience This course will cater for in-company legal specialists, finance, project managers, marketing and communications specialists; as well as geologists, planners and environmental scientists in regulatory or government roles in regions considering the development of CCS. The course will provide up to date and relevant information to help in understanding opportunities and in managing risk. Geoscientists Government energy regulators and policy makers Financiers and investors Government natural resource and planning department Environmental scientists Finance professionals Marketing and communication professionals Legal specialists Project managers Course Level Basic or Foundation Trainer Your expert course leader is one of the most influential figures in British geoscience. He has 25 years' experience in geological, energy, and palaeontological science and research, including 8 years national level science leadership as the UK's chief geologist (Executive Chief Scientist and Director of Science and Technology of the British Geological Survey). He has been providing geoscience advice to Government for almost 15 years and has an excellent overview of Government policy, industrial activity and funding landscape in applied and energy geoscience, including CCUS and shale gas. He is a well-known communicator of science and has published three single-author popular science books (one award-winning), including the best introductory book on CCS 'Returning Carbon to Nature' Elsevier 2013. 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

The “ISO 42001:2023 Lead Implementer Course” is designed to provide participants with the knowledge and skills necessary to lead the implementation of an Artificial Intelligence Management System based on ISO 42001:2023. This comprehensive course covers the key principles, requirements, and best practices for establishing and maintaining an effective Artificial Intelligence management system. Participants will learn how to develop, implement, and manage processes that comply with the ISO 42001 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)

Are you a manager in Early Years? Do you need some new skills to help manage your teams and be the best you can be? Then have a look at what this course covers and get in touch to book. Week 1. Exploring the role of a Manager in Early Years. Characteristics of an effective manager. Exploring different Leadership Styles and identifying your own. Looking after your own wellbeing. Week 2. How to manage difficult Conversations Exploring different personality types. Developing resillience. 4 Step process for managing a difficult conversation. Week 3. Creating Connection & Belonging within your team The importance of Connecting with a Diverse team. How to create a culture of connection & belonging. An introduction to Leading with Emotional Intelligence. We deliver this session on a one to one virtual platform or face to face. We can deliver to small groups but please contact us separately for costings. This specific course is for training one person at a time.