177 Project Management Professional (PMP) courses in Warlingham

Management of Portfolios (MoP®) Practitioner: In-House Training In this MoP® Practitioner course, participants will have sufficient knowledge and understanding of how to apply and tailor the MoP guidance and to analyze portfolio data, documentation, and roles in relation to a given situation. MoP helps organizations ensure if the investments are done in the right, change initiatives, and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What you will Learn Define the business case to get senior management approval for portfolio management Plan the implementation of portfolio management Select and adapt MoP principles, practices, and techniques to suit different organizational environments Evaluate examples of MoP information including documents and role descriptions Analyze the solutions adopted in relation to a given scenario Introduction Overview MoP Portfolio Definition Portfolio Management Roles Portfolio Management Documents MoP Practitioner Assignments Portfolio Management Documents Portfolio Delivery How to Implement Practice Exam MoP Practitioner Exam (taken online, after the class has ended)

Management of Portfolios (MoP®) Practitioner In this MoP® Practitioner course, participants will have sufficient knowledge and understanding of how to apply and tailor the MoP guidance and to analyze portfolio data, documentation, and roles in relation to a given situation. MoP helps organizations ensure if the investments are done in the right, change initiatives, and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What you will Learn Define the business case to get senior management approval for portfolio management Plan the implementation of portfolio management Select and adapt MoP principles, practices, and techniques to suit different organizational environments Evaluate examples of MoP information including documents and role descriptions Analyze the solutions adopted in relation to a given scenario Introduction Overview MoP Portfolio Definition Portfolio Management Roles Portfolio Management Documents MoP Practitioner Assignments Portfolio Management Documents Portfolio Delivery How to Implement Practice Exam MoP Practitioner Exam (taken online, after the class has ended)

Best MS (Microsoft) Project Beginners Courses in London, England! This one-day Microsoft Project Beginners Course is designed to cover the concepts of creating, scheduling, baselining and tracking projects using Microsoft Project. We cover all versions of Microsoft Project, instructor-led, classroom-based, practical, and hands-on. We offer the classes on a one-to-one basis, but group sessions are scheduled on request.

The aim of this programme is to provide current / prospective senior project managers with an in-depth review of the role and importance of project management in the organisation. It focuses on the strategic role of the project manager and aims to draw out the full scope of the role and how it impacts on project performance. The five key objectives of this programme are to enable the participants to: Identify the characteristics and attributes needed by project managers in ensuring the organisation is recognised as an industry leader in delivering successful projects Understand the full scope and impact of the project manager / leader's role in managing projects or programmes to maximise benefit to the business Define the hallmarks and skills required to manage significant business projects or project portfolios Develop an understanding of the skills required and their impact on the project through case study work and syndicate exercises Benefit from an effective forum for exchanging experience and fostering a sense of team spirit and mutual support between senior project managers DAY ONE 1 Introduction (Course sponsor) A vision of future opportunities and challenges The impact of project managers / leaders on future success 2 The determinants of success The contractor's perspective The client's perspective Success and failure: factors that determine the project outcome The impact of the project manager 3 Case study: Project Giotto How successful was this project? What were the primary factors that influenced the outcome? How relevant are these factors to current projects? Feedback and review 4 Project team exercise A practical exercise demonstrating the role of the project manager in managing the interfaces between the client, the project team and suppliers Review - what skills are required to be a 'world class' project manager? 5 The role of the Project Manager The role and skills of the 'world class' project manager The three key dimensions of effective project leadershipManaging influential stakeholdersManaging project performanceManaging the project team Project leadership skills appraisal (individual review) DAY TWO 6 Managing influential stakeholders Project management and the art of leadership Who are the influential stakeholders and how do they affect the project? What we need to do / not do, to build successful working relationships 7 Case study: Understanding the customer What are the likely problems the project manager will encounter? What should the project manager do to ensure an effective partnership? 8 Managing project performance Issues affecting commercial performance Joining up the project life-cycle: getting performance from inception to closure The roles of project manager, line manager and project sponsor 9 Project team exercise: Making the promise / delivering the promise An exercise demonstrating the commercial and team leadership skills needed by the project manager Review - what must the project manager do to optimise project performance? 10 Managing multi-functional project teams The challenges of building effective, multi-functional project teams Co-ordinating work across functional and organisational boundaries Maintaining strategic focus and balancing priorities 11 Making it happen Individual action planning Syndicate discussion 12 Course review and transfer planning (Course sponsor present) What will we do differently? How will we make it happen? Conclusion

This programme concentrates on the core planning skills needed to develop sound practical project plans in a team environment. This enables the plan to be modified should requirements change or difficulties arise. The programme also gives participants the confidence to practise those skills and apply them in the work environment and deliver their projects more successfully in the future. Participants learn fundamental project management concepts and terminology, demystifying the project management process, and, in particular, how to: Break a project down into manageable sections and ensure nothing is left out Understand and apply estimating techniques to develop realistic estimates Sequence work effectively and carry out critical path analysis to determine project duration and which tasks to pay closest attention to Manage project risk effectively to protect project value Monitor, control and re-plan the project to best keep it on track Close out the project and ensure the project comes to an orderly end 1 Introduction Self-introductions and personal objectives Course objectives Sharing of project issues 2 Project management concepts Characteristics of a project and what should be kept as operational responsibilities Understanding the triple and quadruple constraints - and their limitations Prioritising requirements through the MOSCOW technique Product v project life cycle Key project roles and responsibilities - the importance of sponsorship and clarity of roles 3 Starting a project, and the importance of the terms of reference / project brief Avoiding the pressure to 'just do it'! The importance and benefits of planning The best time to learn! Initial project documentation - the BOSCARDI approach 4 Breaking the work down Understanding alternative breakdown structures such as the product breakdown structure and work breakdown structure Guidelines for creating a work breakdown structure to ensure the full work scope is identified 5 Estimating Alternative estimating techniques and associated confidence levels Further considerations - loss and resource factors 6 Organising the work Use of network diagrams to develop a clear sequence of work Critical path analysis and calculating the project duration and task float - and usage 7 The management of project risk Understanding the nature of project risk The risk analysis and risk management processes How to best manage threats and opportunities Running a risk workshop Using the risk register 8 Scheduling the work The importance of the Gantt chart and understanding its limitations The Gantt chart layout and using alternative views such as the tracking Gantt Using alternative dependencies 9 Resource issues Assigning resources and resolving resource overloads Crashing and fast-tracking your project and potential issues to look out for 10 Controlling the project The control cycle and alternative feedback mechanisms Alternative progress reporting Assessing the impact The importance of re-planning The benefits of control Change control - the importance of impact analysis The steps of change control and the use of the issue register 11 Closing the project The project closure checklist Reviewing the project - things to avoid Developing meaningful lessons and ensuring they are applied effectively The post-project review - its importance to the organisation

Overview This project is intended for managers to know a way to prepare and arrange comes, and meet the deadlines the side of dominant their budget. it'll facilitate in saving time and cash for the delegates through increased schedules, improved plans and communications. This project is intended for managers to know a way to prepare and arrange comes, and meet the deadlines the side of dominant their budget. it'll facilitate saving time and cash for the delegates through increased schedules, improved plans and communications. This course may be quick paced comes that's designed to fulfil the fast wants of the managers. It includes the fundamental principles and terms of Project Management with a straightforward set of tools and self-check tools. These tools facilitate managers to arrange their projects exactly.

Overview To understand the course thoroughly, you need to understand the practical application of the theory along with case studies as well as relevant examples. IT Project Management course will include those areas in managing the processes and activities related to guaranteeing the success of IT projects.

About this Virtual Instructor Led Training (VILT)  Conducted in an interactive manner, Exploration Project Management will include presentations by the course leader, syndicate and plenary exercises, and (optional) assessment of selected participants' projects. Industry case studies will be integrated into all the presentations. The course material will include a course manual (handout) and a course workbook (for exercises). Participants are requested to bring a mini-poster (two PowerPoint slides) as background material for discussion during the course. Training Objectives By the end of this Virtual Instructor Led Training (VILT), participants will be able to: Improve the evaluation, execution and delivery of exploration projects, measured in terms of successful bids for new acreage, increased success rate and volume delivery from exploration drilling, and more rapid progress in appraisal of discoveries. Describe concepts, simple processes, workflows and analysis tools for project execution. Tools include the expert course leader's proprietary project management framework, including project framing and after-action review methodologies, templates for strategy development, decision trees, decision quality frameworks. They also include customised Excel spreadsheets for portfolio modelling, project risk assessment (in new ventures and prospect maturation) and business planning. Understand their role in (a) delivering the company's strategy, (b) contributing data and assessments to key exploration decision makers, and (c) communicating project progress and results to senior management. Target Audience The Virtual Instructor Led Training (VILT) is aimed at exploration professionals with more than 5 to 10 years of experience in the business, who would like to develop their skills for managing exploration projects and presenting the goals and results of their project work to senior management. Exploration and engineering professionals who work in exploration project teams, across the spectrum from new ventures (exploration business development), prospect identification and maturation, and appraisal of discoveries Exploration project leaders Exploration managers The VILT will also benefit professionals from well engineering, petroleum engineering, finance and planning who support exploration activities. Participants are requested to bring a mini-poster (two PowerPoint slides, each printed on A3 paper) as background material for discussion during the course. Course Level Basic or Foundation Trainer Your expert course leader draws on more than 35 years of experience managing, reviewing and directing projects in all aspects of the exploration business: from exploration business development (new ventures), through prospect maturation and drilling, to the appraisal of discoveries. He has more than 30 years' experience with Shell International, followed by 10 years consulting to NOCs in Asia Pacific, Africa and South America and independent oil companies in the United Kingdom, continental Europe and North America. Other than delivering industry training, he has worked on projects for oil & gas companies of all sizes, including independents, national oil companies and (super)-majors, private equity firms, hedge funds and investment banks, and leading management consulting firms. He is an alumnus of Cambridge University. He has M.A and Ph.D. degrees in geology and is a Fellow of the Geological Society of London as well as a respected speaker on management panels at international conferences. Professional Experience Management consultancy & executive education: Advice to investment banks, businesses and major consulting firms. Specialist expertise in upstream oil & gas, with in depth experience in exploration strategy, portfolio valuation and risk assessment. Leadership: Managed and led teams and departments ranging from 3 - 60 in size. Provided technical leadership to a cadre of 800 explorationists in Shell worldwide. Member of the 12-person VP team leading global exploration in Shell, a $3 bln p.a. business and recognised as the most effective and successful among its industry peers. Accountability & decision-making: Accountable for bottom-line results: in a range of successful exploration ventures with budgets ranging from $10's million to $100's million. Made, or contributed to, complex business decisions / investments, taking into account strategic, technical, commercial, organisational and political considerations. Corporate governance: Served as non-executive director on the Boards of the South Rub al Khali Company (oversight of gas exploration studies and drilling in Saudi Arabia) and SEAPOS B.V. (exploration deep-water drilling and facilities management). Technical & operations: Skilled in exploration opportunity evaluation, the technical de risking of prospects, portfolio analysis and managing the interface between exploration and well engineering activities. Unparalleled knowledge of the oil and gas basins of the world, and of different operating regimes and contractual structures, ranging from Alaska, Gulf of Mexico and Brazil, through to the Middle East, former Soviet Union, Far East and Australia. Safety: Following an unsatisfactory audit, became accountable for safety performance in Shell's exploration new ventures. Through personal advocacy and leadership of a small team, delivered pragmatic and effective HSE systems, tools and staff training / engagement and a dramatically improved safety record. R&D: Experience in the 3 key roles in R&D: scientific researcher, research manager, and 'customer' for R&D products. After re-defining Shell's exploration R&D strategy, led the re-structuring of the R&D organization, its interface with 'the business' and approaches to deployment and commercialization. Strategy: Accomplished at formulating competitive strategies in business, R&D and technology deployment, translating them into actionable tactics and results. Defined the exploration strategy of PDO (a Shell subsidiary in Oman) and latterly of Shell's global exploration programme. Professional education, behavioural/motivational coaching: Experienced in organisational re-design, change management, leadership education and talent development. Commercial skills: Personally negotiated drilling compensation claims, educational contracts and E&P contracts, with values of $5 million to $100+ million. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

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)

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)