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APM Project Management Qualification (PMQ): Virtual In-House Training The APM Project Management Qualification (PMQ) (IPMA Level D) is a knowledge-based qualification that allows candidates to demonstrate knowledge of all elements of project management. Candidates will be able to demonstrate an understanding of how these elements interact and how their project fits into their strategic and commercial environment. The course will cover the 67 assessment criteria defined by APM and prepare you to sit the examination on the fifth and final day. In addition to the instructor-led sessions, you should also expect to complete some self-directed study in the evenings. The APM Project Management Qualification (PMQ) examination is a three-hour paper where candidates must answer 10 out of 16 questions that can cover all 67 assessment criteria topics. What you will Learn You'll learn how to: Provide organizations with a proven project management methodology that will allow individuals to plan, organize, and control the successful implementation of projects Achieve the APM Project Management Qualification (PMQ), the UK's leading project management qualification Provide practical skills and techniques to help further your career in project management Getting Started Introductions Course structure Course goals and objectives Overview of the APM Project Management Qualification (PMQ) examination Structure of Organizations and Projects Organization structures Project sponsorship Organization roles Project Office Governance Legislation Project Lifecycle Project Lifecycles Handover and closure Project reviews Situational Context of Projects Project Management Programme Management Portfolio Management The Project Environment Communication Communication Conflict Management Negotiation Leadership and Teamwork Leadership Teamwork Planning for Success Business Case Investment Appraisal Success and Benefits Management Information Management and Reporting Project Management Plan Estimating Earned Value Management Stakeholder Management Scope Management Scope Management Requirements Management Change Control Configuration Management Schedule and Resource Management Schedule Management Resource Management Budgeting and Cost Management Procurement Procurement Contracts Provider Selection and Management Risk Management and Issue Management Risk Management Issue Management Quality Management and Examination Preparation Quality Management Preparation and Examination Preparation and examination briefing APM Project Management Qualification (PMQ) examination

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

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Special Executive Masters Programme (S.E.M.P) This programme is geared at enhancing professionals' careers. The SEMP is an encapsulated Senior Management Programmes are short certificate modules designed for anyone who would benefit from more in-depth business knowledge delivered in a short and intensive programme What makes us different? We are a world class business school located in the heart of London, Dubai, Islamabad and Lagos. We are one of the fastest growing British business schools with a stylish blended learning model that is both online and on campus. Learn more about the programme Special Executive Master's Programme in Project Management Course Overview The MSBM Special Executive Masters Programmes (SEMP) allows you to update your skills, develop new skills, and explore and develop interests in a wide range of topics. These courses can be taken as personal or professional development and may enhance your employability. In today’s challenging economic environment, project managers, senior management, and professional needs to understand the fundamental supportive and strategic role that project management plays in business. If companies are to pursue their plans for stability and growth they need to cease seeing project management as a functional activity and place it at the core of their business processes. At the same time, project managers and planners share the responsibility to engage better on a business basis with senior executives. Course Details Mode of Study Using Web-based technology, this program provides self-paced, individualized instruction that can be taken anywhere and anytime an individual has access to a computer and the Internet. This Programme is suitable for successful professionals or specialists in the private, public, or voluntary sectors who have new management responsibilities and need to quickly expand their management knowledge. This Programme serves as a refresher course for those who have had their Masters a long time ago and need quick reminders and professional/ academic updates while it serves as a primer for those very experienced Professionals who never made time out for their masters yet they require the academic and practical relevance of this master’s experience. It is a short executive training that runs online for 3 months. Candidates will run 2 months of active lectures and series of assignments and 1 month for their dissertation. Upon successful completion of the Programme, candidates will be awarded a Continuing Professional Development (CPD) certificate in the specific Programme they have completed. What is a CPD Course? Continuing Professional Development (CPD) is the means by which professionals maintain and enhance their knowledge and skills. The world is constantly moving at a very fast pace so undertaking CPD is essential to support a professional in his/her current role as well as helping them with career progression. CPD is all about upgrading knowledge, skills, and capabilities to remain effective and compliant. A CPD course is an investment that you make in yourself. It’s a way of planning your development that links learning directly to practice. CPD can help you keep your skills and knowledge up to date and prepare you for greater responsibilities. It can boost your confidence, strengthen your professional credibility, and help you become more creative in tackling new challenges. Is the SEMP Project Management Programme right for me? Some project managers train specifically for a professional role in project management right from the start, whilst others progress through their organization in different roles, and at some point identify project management as a role they would like to take on. Sometimes it is a role that you fall into by accident or one that is thrust upon you; so practical experience is often gained before becoming certified. If you are contemplating a career change then there are several things you should consider. Firstly, you must consider if you think you have the right sort of personality to become a project manager, for instance: Are you comfortable taking the lead role in a high-pressure situation? Have you got the ability to effectively manage resources on a large scale? Can you think on your feet and quickly react to change? Do you have good problem-solving skills? Do you have experience with finance to manage large budgets? Can you be honest, and say ‘No’ to staff and management when required? Can you be decisive when required, and accept responsibility for your decisions? If you answered yes to most of these questions then a career in project management is definitely worth considering. As long as you’re proficient in most of the above, you can learn the remaining aspects through good additional training. Why SEMP Project Management?  This non-credit-bearing course is designed to provide benefits to the managers and directors of a project and to an Organization, through the controllable use of resources and the ability to manage business and project risk more effectively. It embodies established and proven best practices in project management. It is widely recognized and understood, providing a common language for all participants in a project. It encourages formal recognition of responsibilities within a project and focuses on what a project is to deliver, why, when, and for whom.   Who should enrol in this online Certificate Program? Whether you are in construction management; project execution; or project, program or portfolio management, this could be an ideal program for you if you are looking for career development opportunities to enhance your knowledge and skillsets in managing large, complex projects. Also, here of some of the people that can register for the online Programme. project manager assistant project manager project management associate project coordinator project planner project change management analyst Accreditation The content of this course has been independently certified as conforming to universally accepted Continuous Professional Development (CPD) guidelines. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. Workshops This is a self-study programme with unlimited tutor support. You will never be more than a message or phone call away from our tutors. Visa Requirements There are no Visa Requirements for this Course as it's an Online Course.

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)

Reasons to attendHow to ensure a successful clinical trial within timelines and budget? This Clinical Project Management training is a blended course (eLearning + Classroom or Webinars) designed to introduce the ins and outs of managing clinical research projects. The clinical study setting allows you to implement this knowledge immediately within your research projects.What's included? Documents and materials related to this course are included Globally recognised certificates awarded after test completion This course has been granted PharmaTrain Recognition