94 Project Management Institute (PMI) courses in Manchester

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)

APM Project Fundamentals Qualification (PFQ): In-House Training This practical course gives Participants a solid introduction to the fundamentals of project management and to prepare them for the one-hour, multiple-choice exam held at the end of the course. The APM Project Fundamentals Qualification (PFQ) is an entry-level qualification suitable for those who are new to project management and working in a project team, and who wish to understand the standard terminology. The goal of this course is to prepare you to successfully pass the exam. What you will Learn You'll learn how to: Identify project management terminology and context Identify project management processes Identify the roles involved in project management Describe project success criteria and benefits Prepare project documentation Acquire the level of understanding needed to pass the APM PFQ examination Getting Started Introductions Course structure Course goals and objective Project Context Project characteristics Project management processes Business and project context Organizational roles Project Lifecycle Programme and portfolio management Project Concept Phase Stakeholder management Project success and benefits management Business case Benefits People in Projects Leadership and teamwork Communication Project Definition Phase Project management plan Quality management Risk management Scope management Scheduling Resource management Estimating Procurement Project Implementation Phase Change control and configuration management Issue management Information management Project Hand-over and Close-out Phase Hand-over and close-out Post-project review Revision and Exam Revision and practice questions APM PFQ examination

Overview This course provides participants with the chance to focus on relevant project management tools and skills required to run successful projects in research and beyond. The course has been designed to help researchers and project managers enhance their project management skills in the context of their research and develop their knowledge of broader project management principles. The training course is highly participative and includes a peer learning session where participants will get the chance to tackle specific issues and challenges related to their research projects, find innovative solutions and share best practices.

Managing Benefits™ Foundation: In-House Training The APMG International Managing Benefits and Swirl Device logo is a trademark of The APM Group Limited, used under permission of The APM Group Limited. All rights reserved. Benefits are not simply just one aspect of project and programme management (PPM) - rather, they are the rationale for the investment of taxpayers' and shareholders' funds in change initiatives. Managing Benefits is designed to complement existing best practices in portfolio, programme and project management (such as PRINCE2®, MSP®, P3O® & MoP®), and consolidates existing guidance while expanding on the specific practices and techniques aimed at optimizing benefits realization. The purpose of the Managing Benefits guidance and certification scheme is to provide you with generally applicable guidance encompassing benefits management principles, practices, and techniques, and to prepare you to take and pass the Foundation exam on the last day. Managing Benefits provides: An overview of benefits management - what it is, the case for doing it, and some common misconceptions that can limit its effectiveness in practice Descriptions of the seven principles upon which successful approaches to benefits management are built, and examples of how they have been applied in practice Guidance on how to apply benefits management at a portfolio level, as well as at an individual project or programme level Details of the five practices in the Benefits Management Cycle and examples of how they have been applied in practice Advice on how to get started in implementing effective benefits management practices and sustain progress What You Will Learn You'll learn how to: Define benefits, benefits management and related terms, and the objectives of benefits management Explain the principles upon which successful approaches to benefits management are based Define the practices contained within the Benefits Management Cycle and relevant techniques applicable to each practice Describe key elements of portfolio-based benefits management, as well as the scope of key roles and responsibilities for benefits management and the typical contents of the main benefits management documentation Identify barriers to effective benefits management and strategies to overcome them, including the key success characteristics of benefits management Improve your ability to pass the APMG Managing Benefits Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Overview of Managing Benefits The Benefits Management Model Key Benefits Management Practices What is Benefits Management? Definitions Value and Value Management Why do we need benefits management? Objectives Benefits Management Principles Align benefits with strategy Start with the end in mind Utilize successful delivery methods Integrate benefits with performance management Manage benefits from a portfolio perspective Apply effective governance Develop a value culture The Benefits Management Cycle Barriers to effective and efficient benefits management and overcoming them Key success characteristics of effective benefits management Key roles, responsibilities, and documentation Benefits Management Practice 1 - Identify and Quantify Benefits Management Practice 2 - Value and Appraise Benefits Management Practice 3 - Plan Benefits Management Practice 4 - Realize Benefits Management Practice 5 - Review Portfolio-based Benefits Management Implementing and Sustaining Progress APMG Managing Benefits Foundation Exam

Overview Supply Management plays a very important role in order to maintain business harmony, maintaining good relationships, and information, having a smooth flow within the business process and delivering good customer service. The course will highlight some modern techniques of Project Management to implement in the supply management process. As research shows Project Management and Supply Management are very similar thus, we will learn the tools and techniques used to initiate, execute, execute and manage and control the project.

Overview Understanding the grants coming in and their monitoring, spending and many other factors are directly proportionate to effecting Grant Accounting and Grant Management. Many different funding entities give grants to so many companies, the government sector, and private sectors with the aim to encourage growth and employment and economic viability. It is important to recognise the government grants in the profit and loss account, so at the end, it can match the costs to which they relate. Considering these grants efficiently in the accounts is very important, as many entities (including the grant-making body) may closely monitor the accounts; and any errors will reflect badly on the accountant. Many development projects are funded through grants from donors. Therefore, it becomes the responsibility of the project management team to safeguard that the limited resources are used efficiently to achieve maximum impact.  This course is planned to train the participants with best practices and essential skills in effective grants management.

Recovering Troubled Projects: In-House Training Despite our best intentions, many of the projects that organizations undertake either don't achieve their intended business results or end in complete failure. Most seasoned project managers have had their share of experiences with difficult or troubled projects and unless they are careful, they will encounter more. This workshop does not focus on 'failed' projects but rather on those projects which without appropriate intervention would be headed for failure. Failed projects are those beyond help and which should be terminated. Here we focus on projects that are salvageable. It is an exercise-driven, no-nonsense, professional practice-focused workshop positioning the participant to immediately apply the tools and lessons learned in the classroom. The workshop employs the use of both illustrative and practical/working case studies. Illustrative case studies will examine insights from real-world troubled projects. Participants will be asked to bring descriptions of their own examples of troubled projects on which they're currently working or on which they have worked in the past. A number of these will be used as the basis for the practical/working case studies. The approach builds on and complements the disciplines addressed in Project Management Institute's PMBOK® Guide and also addresses issues that arise when managing projects in a complex environment. What You Will Learn You will learn to: Recognize the value of a structured project recovery process Explain the reasons most projects fail Analyze the causes of a project's troubles Construct a negotiation process to use with key stakeholders Apply an effective strategy to planning the recovery effort Manage, evaluate, and adjust the ongoing recovery effort Foundation Concepts Recognizing a troubled project Defining the project recovery process The Reasons Projects Fail Putting failure in perspective Reviewing management issues Analyzing planning issues Exploring complexity issues Assess the Project Stabilizing the project Determining preliminary Go / No-Go Conducting a detailed recovery assessment Negotiate the Recovery Reviewing the basics of negotiation Setting reasonable expectations Obtaining appropriate PM authority Securing key stakeholder support Plan the Recovery Planning for recoveries Rebuilding the project team Reshaping the project plan Managing parallel activities Planning for change management Implement and Adjust the Project Implementing project recoveries Facilitating change Enabling continuous learning Fostering the project team Sustaining stakeholder engagement

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Project Estimating and Scheduling: In-House Training Establishing realistic estimates and goals for projects that support business objectives and meet client expectations is one of the most challenging aspects of project planning. Delivering those results within the agreed-upon time, cost, and quality constraints is also challenging. Attempting to meet impossible deadlines with limited budgets often leads to unplanned product shortfalls, causing long-term support and utilization problems. We have all anguished about this recurring problem, but without having the skills or knowledge to take action, we are unable to break the cycle! The goal of this course is for you to be able to support business objectives and meet client expectations by selecting the right planning approach for realistic and cost effective schedules, as well as project budgets. To achieve that, you will focus on gaining the necessary knowledge, skills, and techniques. What You Will Learn At the end of this program, you will be able to: Use the work breakdown structure (WBS) as the basis for effective estimating of project resources Estimate effort and duration using a variety of techniques Develop preliminary schedules using the critical path method Apply a variety of optimization techniques to refine preliminary schedules Establish realistic schedule and cost baselines, with appropriate contingency reserves Explain how earned value management (EVM) contributes to control time and cost performance Foundation Concepts Project management basic definitions and concepts PES Key driver: competing constraints PES Process and success factors Project Definition and the WBS Project definition overview Work Breakdown Structure (WBS) Decomposition: WBS development technique Resource Planning Resource planning overview Identifying resource requirements Identifying and filling resource gaps Applying resource planning tools Effort and Duration Estimating Estimating overview Estimating perspectives and approaches Estimating techniques Effort and duration estimating best practices Project Scheduling Overview of project scheduling Dependencies and the project network diagram Critical path method (CPM) Optimizing the schedule Budget, Risk, and Contingency Planning Overview of budget, risk, and contingency planning Estimating costs Determining the budget Project risk management processes Planning contingency reserves Project Baseline and Control Overview of project baseline Negotiating and the project baseline Earned value management (EVM) Project variances and actions Project control

Project Risk Management: In-House Training Have you been surprised by unplanned events during your projects? Are you and your project team frequently fighting fires? Well, you are not alone. Uncertainty exists in any project environment. While it's impossible to predict project outcomes with 100% certainty, you can influence the outcome, avoid potential risks, and be ready to respond to challenges that arise. In this course, you'll gain the proper knowledge needed to identify, assess, plan for, and monitor risk in your projects. You'll learn how to set up and implement risk management processes, helping you to minimize uncertainty and achieve more consistent, predictable outcomes as a result. What You Will Learn You'll learn how to: Demonstrate to others how the risk management processes in A Guide to the Project Management Body of Knowledge (PMBOK® Guide) apply to your project's environment, especially for high-risk projects Adapt these processes for a particular high-risk project team's operating principles Explain the importance of using risk management best practices at single and enterprise project levels Lead an initiative to implement risk management best practices in your project environment Foundation Concepts Risk-related definitions The risk management process High-risk projects and project failures Classical failures in implementing risk management Plan Risk Management Project risk management and governance Risk management planning for high-risk projects High-risk variations on a risk management plan Identify Risk Adapting the risk identification process for high-risk projects Recognizing risks spontaneously Confirming and structuring risk events for treatment Wrapping up risk identification for high-risk projects Perform Qualitative Risk Analysis Adapting qualitative risk analysis for high-risk projects Accelerating risk analysis Clearing risk action Wrapping up qualitative risk analysis for the next level Perform Quantitative Risk Analysis Adapting quantitative risk analysis for high-risk projects Ensuring effective risk analyses with data quality assessments Building a foundation for quantitative risk analysis Using discrete quantitative tools Using continuous quantitative tools Wrapping up quantitative risk analysis for high-risk projects Plan Risk Responses Adapting risk response planning for high-risk projects Optimizing active risk response strategies Leveraging contingencies for high project performance Wrapping up risk response planning for high-risk projects Implement Risk Responses Implementing Risk Responses Process Executing Risk Response Plans Tools and Techniques Best Practices Continuous Risk Management Monitor Risks Adapting risk monitoring for high-risk projects Optimizing risk plan maintenance Weaving risk reassessment into the project's progress Maintaining a continuous 'vigil' in high-risk project environments