1181 OV courses in Nottingham

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)

ILM Level 5 Certificate in Leadership & Management – 9 day Accredited training course delivered in Nottingham This is a prestigious qualification for middle and aspiring middle managers. Participants should be operational managers with responsibilities for managing resources and/or teams of individuals within the scope of their role. Delegates are required to identify an opportunity for improvement in the organisation; research and analyse options and create an implementation plan for the business. Our client businesses tell us that this alone often pays many times over the for the course fee.

Trauma Risk Management is an evidence based, peer delivered risk assessment and ongoing support system, designed specifically to help in the management of traumatic events.

ILM Level 5 Certificate in Leadership & Management – 9 day Accredited training course delivered in Nottingham A 7 day course delivered over 5 months – one day each 3 weeks or thereabouts. Combination of fully interactive, tutor led online training and traditional face to face at our purpose designed training centre in Nottinghamshire. The Level 5 is the industry standard which most corporate organisations, or professional associations would look for to establish credibility as a “qualified” coach. Participants on the programme, and those who attain the qualification will be entitled to a 25% off membership of the EMCC “European Coaching and Mentoring Council” Membership, the leading association in the field of Coaching and Mentoring. More information can be found here It provides a prestigious qualification for individuals who wish to become more effective at coaching and mentoring practice. Suitable for line managers who are required to enable and develop others; those with coaching or mentoring within the wider scope of their role; and those who have an active interest in coaching or mentoring and may wish to undertake freelance work. Participants must have access to a minimum of two coachees during the course to undertake at least eighteen hours of coaching outside of the course days*

Overview This course highlights Overview of upstream asset management HSE issues and energy project investment analysis Exploration and appraisal well decisions Field development decisions Asset optimization

Overview Objectives Understand the fundamental concepts of credit risk Evaluate and understand internal and external credit ratings Understand value at risk (VaR) and its use in measuring credit risk Explain the counterparty risk for derivatives, particularly over-the-counter derivatives Describe different credit risk models according to the recommendations of the Basel Committee

Overview This course is a rare opportunity to acquire important leadership skills and use those newfound skills to gain the respect of co-workers and those you supervise. It's filled with insights into the special and often-overlooked talents women leaders can bring to the table and cutting-edge tactics successful women leaders are using right now to make things happen in their organizations.

Overview The credit Risk Assessment course gives participants a comprehensive overview of the key concepts and methodologies in understanding the drivers of credit risk, modelling tools used for the measurement of credit risk, and current best practices in credit risk management techniques. The course focuses on the actual practice of credit risk assessment within financial institutions as well as on the quantitative and methodological tools and procedures that are at the cutting edge of measuring, mitigating and managing credit risk.

Overview For internal employees who want to understand and expand their roles related to financial reporting, as well as those who simply need a refresher on financial accounting, this course is the ideal way to get up to speed. By exploring concepts that go beyond basic accounting, this course will enable participants to approach financial auditing with renewed confidence. The programme will walk participants through an analysis of an organization's financial statements using case study exercises, where participants will calculate key ratios and analyze trends over time. Engaging in discussions on both historic and current fraud cases, participants will learn how to recognize “red flags” in financial statement reporting.

Overview This course is an essential for those wanting to understand the language used by accountants and how financial statements fit together. No prior knowledge or experience is required.