2531 Project Management Qualification (PMQ) courses

PMI-RMP® Exam Prep: In-House Training This course is aimed at preparing the participant to pass the PMI-RMP® (Risk Management Professional) exam. The course will also provide practical tips and tools that can be used in any organization's project management risk practices. In this expanded session, you will also have time to practice your exam taking skills with coaching from a credentialed instructor. The course includes the tool RMP-IQ, with sample exam questions to practice for the exam and allow participants to see their knowledge level in the various domains. What You Will Learn At the end of this course, participants will be able to: Explain the value and benefits of the PMI-RMP® credential Perform a self-assessment of your knowledge and skills Prepare a study plan that will allow you to pass the exam Foundation Concepts The Risk Management Professional (PMI-RMP®) Exam PMI's Standard for Risk Management Portfolios, Programs and Projects Key risk definitions Risk management life cycle Levels of Risk Management Enterprise Risk Management Portfolio Risk Management Program Risk Management Project Risk Management Risk Strategy and Planning: Part 1 Task 1: Perform a preliminary document analysis Task 2: Assess project environment for threats and opportunities Task 3: Confirm risk thresholds based on risk appetites Risk Strategy and Planning: Part 2 Task 4: Establish risk management strategy Task 5: Document the risk management plan Task 6: Plan and lead risk management activities with stakeholders Agile, programs, and portfolio aspects of risk strategy and planning Risk Identification: Part 1 Objectivity and bias Task 1: Conduct risk identification exercises Risk Identification: Part 2 Task 2: Examine assumption and constraint analysis Task 3: Document risk triggers and thresholds based on context / environment Task 4: Develop risk register Agile, programs, and portfolio aspects of risk identification Risk Analysis: Part 1 Task 1: Perform qualitative analysis Risk analysis in an agile environment Risk Analysis: Part 2 Task 2: Perform quantitative analysis Task 3: Identify threats and opportunities Program and portfolio aspects of risk analysis Risk Response Task 1: Plan risk responses Agile, programs, and portfolio aspects of risk response planning Task 2: Implement risk responses Monitor and Close Risks: Part 1 Task 1: Gather and analyze performance data Monitor and Close Risks: Part 2 Task 2: Monitor residual and secondary risks Task 4: Monitor project risk levels Task 3: Provide information required to update relevant project documents Agile, programs, and portfolio aspects of monitoring and closing risks

Project Management Practitioner Program: On-Demand This on-demand program has been designed to provide a general view of the theoretical concepts of traditional project management from a practical perspective and is presented by LeRoy Ward. The program walks through the ten project management Knowledge Areas and its processes as described by PMBOK Guide - Sixth Edition and shows a practical view through numerous examples of real-life application any project manager has to consider and master to excel in his / her profession. The course content is aligned with PMI®'s global standard A Guide to the Project Management Body of Knowledge (PMBOK® Guide - Sixth Edition). What You Will Learn At the end of this program, you will be able to: Describe the structure and framework of the PMBOK® Guide - Sixth Edition Explain thePMBOK® Guide Knowledge Areas and Process Groups, and their inter-relationships with each other Use selected project management skills, tools, and techniques related to the PMBOK® Guide Knowledge Areas in the context of various project scenarios and your own project challenges Project Management Framework Project Integration Management Project Scope Management Project Schedule Management Project Cost Management Project Quality Management Project Resource Management Project Communications Management Project Risk Management Project Procurement Management Project Stakeholder Management

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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)

Change Management Practitioner: Virtual In-House Training A successful Practitioner candidate should, with suitable direction, be able to start applying the Change Management™ approaches and techniques to a real change initiative; however, s/he may not be sufficiently skilled to do this appropriately for all situations. His/her individual Change Management expertise, complexity of the change initiative, and the support provided for the use of Change Management approaches in their work environment will all be factors that impact what the Practitioner can achieve. This course will further develop some of the knowledge of Change Management learned during the Foundation certification. You will consider what learning is required and how best to design and deliver it. Then the course will provide an understanding of how Change Management fits into the project management environment. A major challenge with change is making it stick. The course will show how to sustain change by understanding the levers for change, models of adoption, and reinforcing systems. This course also prepares you for the APMG Change Management Practitioner exam. Given that a primary course goal is to achieve the Practitioner Certification, daily homework assignments and practice exams will be provided. The Practitioner-level exam is taken at the end of the second day of the Traditional Classroom course.

Change Management Practitioner A successful Practitioner candidate should, with suitable direction, be able to start applying the Change Management™ approaches and techniques to a real change initiative; however, s/he may not be sufficiently skilled to do this appropriately for all situations. His/her individual Change Management expertise, complexity of the change initiative, and the support provided for the use of Change Management approaches in their work environment will all be factors that impact what the Practitioner can achieve. This course will further develop some of the knowledge of Change Management learned during the Foundation certification. You will consider what learning is required and how best to design and deliver it. Then the course will provide an understanding of how Change Management fits into the project management environment. A major challenge with change is making it stick. The course will show how to sustain change by understanding the levers for change, models of adoption, and reinforcing systems. This course also prepares you for the APMG Change Management Practitioner exam. Given that a primary course goal is to achieve the Practitioner Certification, daily homework assignments and practice exams will be provided. The Practitioner-level exam is taken at the end of the second day of the Traditional Classroom course. What You Will Learn You'll learn how to: Understand the key principles in defining what is to be learned by all involved in a change initiative Describe the project environment in which change is governed and delivered Understand the organizational 'levers', adoption approaches, and reinforcing systems typically used to sustain change Improve your ability to pass the APMG Change Management Practitioner Certification exam Getting Started Introductions Course structure Course goals and objectives Learning and Change Defining and managing the required learning to enable change The Project Management Environment Understanding the project environment Identifying key roles Developing a change delivery plan Sustaining Change How levers enable the adoption of change Types of levers (Environmental levers, Leadership levers, and Organizational Development levers) Models of adoption and reinforcing systems APMG Change Management Practitioner Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Practitioner Exam Traditional Classroom: The exam is taken and submitted to APMG for marking. Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course.

APM Project Fundamentals Qualification (PFQ) 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

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

PMI-RMP® Exam Prep: Virtual In-House Training This course is aimed at preparing the participant to pass the PMI-RMP® (Risk Management Professional) exam. The course will also provide practical tips and tools that can be used in any organization's project management risk practices. In this expanded session, you will also have time to practice your exam taking skills with coaching from a credentialed instructor. The course includes the tool RMP-IQ, with sample exam questions to practice for the exam and allow participants to see their knowledge level in the various domains. What You Will Learn At the end of this course, participants will be able to: Explain the value and benefits of the PMI-RMP® credential Perform a self-assessment of your knowledge and skills Prepare a study plan that will allow you to pass the exam Foundation Concepts The Risk Management Professional (PMI-RMP®) Exam PMI's Standard for Risk Management Portfolios, Programs and Projects Key risk definitions Risk management life cycle Levels of Risk Management Enterprise Risk Management Portfolio Risk Management Program Risk Management Project Risk Management Risk Strategy and Planning: Part 1 Task 1: Perform a preliminary document analysis Task 2: Assess project environment for threats and opportunities Task 3: Confirm risk thresholds based on risk appetites Risk Strategy and Planning: Part 2 Task 4: Establish risk management strategy Task 5: Document the risk management plan Task 6: Plan and lead risk management activities with stakeholders Agile, programs, and portfolio aspects of risk strategy and planning Risk Identification: Part 1 Objectivity and bias Task 1: Conduct risk identification exercises Risk Identification: Part 2 Task 2: Examine assumption and constraint analysis Task 3: Document risk triggers and thresholds based on context / environment Task 4: Develop risk register Agile, programs, and portfolio aspects of risk identification Risk Analysis: Part 1 Task 1: Perform qualitative analysis Risk analysis in an agile environment Risk Analysis: Part 2 Task 2: Perform quantitative analysis Task 3: Identify threats and opportunities Program and portfolio aspects of risk analysis Risk Response Task 1: Plan risk responses Agile, programs, and portfolio aspects of risk response planning Task 2: Implement risk responses Monitor and Close Risks: Part 1 Task 1: Gather and analyze performance data Monitor and Close Risks: Part 2 Task 2: Monitor residual and secondary risks Task 4: Monitor project risk levels Task 3: Provide information required to update relevant project documents Agile, programs, and portfolio aspects of monitoring and closing risks