244 Courses in Manchester delivered Live Online

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)

PMI® Authorized PMP® Exam Preparation is a four-day course which will help delegates to build on their knowledge in every area of project and program management skill development. This certification positions learners to successfully complete the Project Management Professional (PMP)® 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.

This Level 3 Apprenticeship has been designed for individuals wishing to start or advance their skills in first-line management, and will equip them with the knowledge and understanding needed to effectively provide direction, instructions and guidance to ensure the achievement of set goals.

Duration 2 Days 12 CPD hours Overview What is JIRA Software? Managing agile projects using JIRA Software Managing project backlog Managing iterations / sprints Managing releases / versions Managing project components Managing security Managing fields and screens Managing custom issue types Viewing various burn-down/burn-up reports This course introduces students to JIRA Software which is one of the most popular agile project management tool. Agile methods help in accelerating the delivery of initial business value. Continuous planning and feedback ensures that value is maximized throughout the development process. JIRA Software lets you manage project backlog, plan and execute sprints, and manage releases. It also lets you view useful reports, such as, velocity, various burndown / burn-up charts. Navigating JIRA Connecting to JIRA Software JIRA Account System Dashboard Sidebars Global Sidebar Search Help Dashboards Projects Boards Issues Project Sidebar Summary Managing Projects What is a Project? What is a Project (Contd.)? Backlog Sprints Versions / Releases Issues What is Component? Project Name and Key Project Key Format Editing Project Key Caveats Editing Project Key Deleting Project Summary Managing Versions What is Version What is Version (Contd.)? Merging Versions Other Version Options Version Fields What is Version? Summary Managing Issues Issues What are Epics? Epics ? Types Creating a new Epic What is a Story? Creating a Story Story Estimation Tasks Sub-tasks Summary Managing Sprints Sprints What is typically done in Sprint Planning? Velocity Agile Board Sprint Naming Convention Sprint Execution Summary Search & Using JQL Search Search Types JQL JQL Examples Sharing search result Save Search and Reuse in a Board Summary Working with JIRA Dashboards and Reports What is a JIRA Dashboard? Creating a JIRA Dashboard Choosing a Dashboard Layout What is a Gadget? Gadgets Available Out-of-the-box Adding a Gadget to a Dashboard Adding a Gadget to a Dashboard (Example Calendar Gadget) Moving a Gadget Removing a Gadget from a Dashboard Viewing Dashboard as a Wallboard Deleting a Dashboard JIRA Reports Generating a JIRA Report Generating a JIRA Report (Example ? Burndown Chart) Viewing the Burndown Chart Report Categories Available Out-of-the-box Agile Reports Issue Analysis Reports Forecast & Management Reports For further details ? Summary Jira Agile Common Jira Software boards Scrum Agility Kanban Scrum vs. Kanban Scrumban History of Kanban Kanban for software teams Kanban boards Kanban boards (Contd.) Kanban cards The benefits of Kanban Planning flexibility Shortened time cycles Fewer bottlenecks Visual metrics Continuous Delivery Kanban ? Kanban backlog Summary Miscellaneous Issue Features Voting Watching an Issue Adding/Removing Labels Linking Issues Linking Issue (Contd.) Commenting on Issue Attaching a File to an Issue Attaching a File to an Issue (Contd.) Cloning (Copying) an Issue Cloning (Copying) an Issue (Contd.) Cloning (copying) an Issue (Contd.) Viewing an Issue?s Change History Viewing an Issue's Change History (Contd. Summary Managing Fields & Screens (OPTIONAL: TIME PERMITTING) Fields OOB Fields Custom Fields Field Type Screens Summary

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.

Project management is a fast-growing profession, as well as an evolving profession. Project Management X (PMX) offers a fresh perspective on the essential knowledge and skills required to deliver intended project outcomes. This course starts with the concept that the purpose of projects is to deliver value. Value can be created in various ways depending on whether you have known or evolving scope. PMX teaches a variety of ways to begin a project including a project proposal, charter, and roadmap. You will learn how to organize and deliver scope using a mixture of methods, such as a WBS, backlog, and releases. PMX provides you with the opportunity to tailor the functions needed to lead a project so you can balance management needs and support self-organizing teams. It helps you honor the need for flexibility while aligning with best practices. The X in Project Management X represents how you can think differently about determining a tailored approach to your projects in order to meet the needs of your organization. This robust experience, designed to enable on-the-job skill transfer, leverages collaborative technology, videos, polls, self-assessments, and rigorous case study practices.

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.

Lean Six Sigma Black Belt Certification Program: Virtual 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)

Certified Associate in Project Management (CAPM)® Exam Prep: In-House Training: In-House Training This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods Are you planning on taking the CAPM® examination? This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods. You'll also have an opportunity for practical applications and time to review the kinds of questions you'll find in the CAPM® Exam. What you Will Learn Apply for the CAPM® Examination Develop a personal exam preparation plan Describe the structure, intent, and framework principles of the current edition of the PMBOK® Guide Explain the PMBOK® Guide Knowledge Areas, as well as their inter-relationships with the each other and the Process Groups Getting Started Program orientation The CAPM® certification process Certified Associate in Project Management (CAPM®) Examination Content Outline CAPM® eligibility requirements Code of Ethics and Professional Conduct Application options Foundation Concepts Skills and qualities of a project manager Project management terminology and definitions Relationship of project, program, portfolio, and operations management Project lifecycle approaches Project Integration Management Review Project Integration Management Knowledge Area Develop Project Charter Develop Project Management Plan Direct and Manage Project Work Manage Project Knowledge Monitoring and Controlling Perform Integrated Change Control Close Project or Phase Project Stakeholder Management Review Project Stakeholder Management Knowledge Area Identify Stakeholders Plan Stakeholder Engagement Manage Stakeholder Engagement Monitor Stakeholder Engagement Project Scope Management Review Project Scope Management Knowledge Area Plan Scope Management Collect Requirements Define Scope Create WBS Validate Scope Control Scope Project Schedule Management Review Project Schedule Management Knowledge Area Plan Schedule Management Define Activities Sequence Activities Estimate Activity Durations Develop Schedule Control Schedule Project Cost Management Review Project Cost Management Knowledge Area Plan Cost Management Estimate Costs Determine Budget Control Schedule Project Resource Management Review Project Resource Management Knowledge Area Plan Resource Management Estimate Activity Resources Acquire Resources Develop Team Manage Team Control Resources Project Quality Management Review Project Quality Management Knowledge Area Plan Quality Management Manage Quality Control Quality Project Risk Management Review Project Risk Management Knowledge Area Plan Risk Management Identify Risks Perform Qualitative Risk Analysis Perform Quantitative Risk Analysis Plan Risk Responses Implement Risk Responses Monitor Risks Project Communications Management Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications Project Procurement Management Review Project Procurement Management Knowledge Area Plan Procurement Management Conduct Procurements Control Procurements Summary and Next Steps Program Review Mock CAPM® Exam Getting Prepared for the CAPM® Exam After the CAPM® Exam