425 Courses in Manchester

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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)

Project Management for Non-Project Managers: In-House Training Individuals who are involved in projects (commissioning, supporting, sponsoring, etc.) may often be unfamiliar with project management. A basic understanding of project management is essential for non-project managers, who are critical stakeholders contributing to project success. This awareness course uses A Guide to the Project Management Body of Knowledge (PMBOK® Guide) and other sources to introduce you to project management vocabulary, concepts, and techniques. It also provides insights into the realities of being a project manager, and opportunities to explore how you can positively impact projects in your own role. What You Will Learn At the end of this program, you will be able to: Identify the benefits of project management Use standard project management terminology Describe characteristics of successful projects, project managers, and high-performing teams Explain various project stakeholder roles, their responsibilities, and the fundamental project management processes Recognize how agile / adaptive practices are useful for certain project life cycles Create a personal action plan for how to support real-world projects within a non-PM role Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Project management overview Strategic value of project management Defining project success Project life-cycle models and governance Project roles and responsibilities Project Initiating and Planning Initiating the project Defining project requirements and scope Developing the project schedule and budget Project Risk Management, Executing, Monitoring, and Closing Understanding, evaluating, and adjusting for risk Honoring the baseline and executing the project Monitoring and controlling the project Closing the project Project Interpersonal Processes Project communication Project team development Conflict management

BOHS P903 - Management and control of evaporative cooling and other high risk industrial systems is there to provide background and an overview of the risk of Legionella infection and how it can be controlled in Evaporative Cooling and other high risk Industrial type systems. It is a requirement of this course that candidates have successfully completed P901 - Legionella- Management and Control of Building Hot and Cold Water Services. Where both P901 and P903 courses are run on subsequent days or as a combined course then this prerequisite is waived.

Courses are aimed at supporting engineering apprentices and T-Level learners who are taking their first steps into the workplace environment, providing basic information in a range of key health and safety hazards in the engineering workplace. Modules allow an understanding of the concept of hazard and risk, a learner's own and their employer's legal obligations, the types and nature of safety hazards and how to avoid the hazard or reduce its risk of causing harm and how to respond to emergency situations. In addition to common mandatory health and safety modules, learners will also choose modules relevant to their occupational pathway.

Courses are aimed at supporting engineering apprentices and T-Level learners who are taking their first steps into the workplace environment, providing basic information in a range of key health and safety hazards in the engineering workplace. Modules allow an understanding of the concept of hazard and risk, a learner's own and their employer's legal obligations, the types and nature of safety hazards and how to avoid the hazard or reduce its risk of causing harm and how to respond to emergency situations. In addition to common mandatory health and safety modules, learners will also choose modules relevant to their occupational pathway.

P901 - Management and control of building hot and cold water services is there to provide background and an overview of the risk of Legionella infection and how it can be controlled in domestic type hot and cold water systems. (This course is also a pre-requirement before undertaking course P903 - Management and Control of Evaporative Cooling Systems and other High Risk Industrial Systems or P904 - Management and Control in Leisure, Display, Therapy and other Non-Industrial Systems.)

P900 - Maintenance and testing of control measures for domestic hot and cold water systems is there to provide the basis of competence of operatives undertaking the operation and monitoring of domestic hot and cold water systems in buildings. The objective is to enable the candidates to identify the risks posed by legionella bacteria and understand how to manage the risks in domestic water systems, to a standard which minimises the risk of exposure and ill health.

Asbestos bulk analysts and laboratory analysts. Anyone who manages asbestos analysts or requires a deeper understanding of the asbestos analysis process (e.g. Laboratory Quality Manager) Prior Knowledge and Understanding Candidates for this course are expected to be aware of HSG 248 Asbestos: The Analysts' Guide (July 2021), and in particular Appendix 2: Determination of asbestos in bulk materials. Candidates will preferably have prior experience of analysing bulk samples and may already be participating in a quality control scheme. In addition, candidates are expected to have had training to cover the core competencies outlined within the foundation material detailed within Table A9.1 of HSG248 Asbestos: The Analysts' Guide (July 2021). This may be achieved by In -house learning or through the P400 foundation module.

Estimating for Business Analysts: In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?