1872 Courses in Edinburgh

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)

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Overview The course begins by introducing credit risk, its components and its drivers. The course then dives into business risk assessment and group structure risks. After examining financial statements, including accounting concepts and principles, the course concludes with a review of financial analysis and its four main risk areas.

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.

We deliver Workplace PAT Testing Courses across most of the UK to assist businesses with Compliance. We also work with Bridges into Work and ReACT in association with Careers Wales and the Welsh Government to offer work based skills which some Candidates could be eligible for Government funding.

Learners will develop knowledge from the FD&FA foundation BS 5839-1 module and/or industry experience and apply this to the installation of FD&FA systems.

Overview This course examines the major tools, techniques, and principles aimed at improving quality and productivity in the public sector. To provide students with practical methods for improving public organizations, this course will cover accountability systems, performance measurement, pay-for-performance reward systems, contracting out, and organizational assessment

Overview This course will help our clients to assist not only in meeting the challenges of introducing IPSAS but also to secure the benefits of improved financial management to help secure the organisational objectives and goals of each public service organisation. We have developed this course starting with an introduction and then implementation of IPSAS.  This course will help our clients to assist not only in meeting the challenges of introducing IPSAS but also to secure the benefits of improved financial management to help secure the organisational objectives and goals of each public service organisation. This enables multi-national organisations to make comparisons between projects wherever in the world they happen, irrespective of jurisdiction, culture, language and ethnicity. IPSAS is becoming and will become the World standard for Public Sector entities. We have developed this course starting with an introduction and then implementation of IPSAS. This allows clients to structure the move to IPSAS within its appropriate Framework. It is an approach that enables implementation to be done in a structured and well-managed way. In the course we will consider the main requirements of IPSAS and, by showing how they affect financial reports and published accounts, will help you to apply IPSAS. The course will assist both finance managers and general managers whose organisations and departments will be affected by IPSAS.

Overview Financial Management, Budget Control and Budget Execution is a blended course with core activity of financial management used to make organisations effective and efficient in-service delivery. Organisations deliberately strengthen their acts of budgeting, as part of their financial management, in order to enhance their effectiveness. This course has been designed to educate participants on how to prepare and use budgets in their organisations. It provides the essential ingredients for achieving a sound budget preparation and execution system. 

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.