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)
This module focuses on developing leadership confidence through self-discovery, emphasising the importance of understanding one's unique leadership style and personal philosophy. Participants will explore their core identity as leaders and learn strategies to enhance their influence, credibility, and relationships within their organisation. Exploring the link between self-discovery and effective leadership, focusing on developing confidence to lead from within. Testimonial: “Without guidance, personal branding can quickly become an exercise in aspiration and competition; letting the carefully curated public personas of others dictate our own validity and definition of success. Clarity on who we truly are, what matters to us and therefore how we position ourselves in the world takes reflection and time. Rachael’s work in this area has inspired the nearly 100 delegates who have been part of our HR Leadership Academy over the past 8 years, and I have no doubt will continue to resonate with future cohorts.” MD, Nina Metson - Suffolk
FAA Level 1 Award In Awareness Of First Aid For Mental Health (RQF) Classroom (4.5 hour course), Virtual (2 x 2 ½ hour sessions) Gives learners a good awareness of Mental Health First Aid Gives learners the skills to start that difficult conversation Course Contents: What is Mental Health? Why people develop mental health conditions What the role of a mental health first aider is Knowing how to provide advice and practical support Knowing how to recognise and manage stress Recognising a range of mental health conditions: Depression Anxiety Psychosis Eating disorders Suicide Self-harm Benefits of this course: 37% of all work-related ill-health is due to mental health problems Problems with mental health cover 45% of all working days lost A whopping 12.8 million working days, or 49, 042 years, were lost due to mental health problems in 2018/19 602,000 workers suffered from work-related stress, depression or anxiety in 2018/19 One in four people will have a mental health problem at some point during their lives Whether work is causing or aggravating mental health problems, employers have a legal responsibility towards their employees Work-related mental health issues must to be assessed to measure the levels of risk to staff Where a risk is identified, steps must be taken to remove it or reduce it as far as reasonably practicable This half day course gives people a good awareness of mental health in the workplace For a more complete introduction, see our full day First Aid for Mental Health or two day Supervising First Aid for Mental Health courses Accredited, Ofqual regulated qualification This Awareness of Mental Health First Aid Course is a nationally recognised, Ofqual regulated qualification accredited by First Aid Awards. This means that you can be rest assured that your Mental Health First Aid Certificates fulfil the upcoming legal requirements and are a very good way to make sure you and your employees have a supporting workplace to deal with staff's mental health conditions. The Ofqual Register number for this course is 603/3768/0
Introspective test Emotional regulation and emotional intelligence training Help in addressing pain points areas Full Makeover and beauty treatments 10 V.I.P confidence building sessions Personality test Addressing trauma issues Personal life coach available daily Behavioural pattern training Relationships analysation Happiness test Dating advice for low confidence and insecurity triggers Eradication of negative patterns Cognitive behavioural therapy https://relationshipsmdd.com/product/dating-advice-for-women-with-very-low-confidence-package/
QA Level 2 Award In Working At Height (RQF) Face to Face: Half-day course Virtual Classroom: Spread over 2 sessions of 2½ hr duration Raises awareness of safety considerations whilst working at height Teaches how to ensure a safe working environment Course Contents: Legislation, regulations, roles and responsibilities when working at height The consequences of non-compliance Safe working practices when working at height How to reduce the risks from:Weather conditionsWorking environmentsOthers working at heightFalling objectsFragile surfaces Importance of risk assessments Rescue plan requirements Selecting appropriate equipment Identifying safety precautions when using equipment Importance of Personal hygiene Reporting procedures when equipment is faulty Benefits of this course: 35 People died in 2017/18 due to falls from height There were also 43,000 non-fatal accidents due to falls from height These resulted in 80 major injuries And 230 over-3-day absences, costing employees and employers money Even just a height of less than 2 meters can result in serious, or even fatal, injuries The Work at Height Regulations 2005 require employers, and those in charge of any type of work at height activity to ensure that the work is properly planned, well supervised and carried out by competent people Employees who do this course will learn to have a greater awareness of the risks involved in working at height, and on how to best manage those risks, ensuring the safety of all concerned Accredited, Ofqual regulated qualification: This Health and Safety Training Course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards.This means that you can be rest assured that your Health and Safety Certificate fulfils the legal requirements and is an excellent way to make sure you and your employees are trained in Health and Safety.The Ofqual Register number for this course is 603/2687/6
Overview This five-day workshop provides a detailed review of significant IFRS requirements for the upstream oil and gas sector, including regulatory reporting and the diverse accounting practices that arise from the many commercial and contracting arrangements which are unique to it. It includes coverage of IFRSs, hands-on case studies, examples, exercises, and benefits from the interactive participation of the attendees. The program includes the latest pronouncements, and participants are brought up-to-date on all topics. In addition, participants are provided with information to assist them in researching accounting issues and monitoring future changes.
Overview Business modelling requires analysts to produce the quantitative models that top management uses to support their decision-making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions and robustly navigate the strategic negotiation landscape. This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.
Overview The training objective is to build on existing knowledge of Strategic Public Relations, Apply the tactical skills required for working in Strategic Public Relations, Capitalise on developments in technology, Manage the key aspects of protocol, Learn tips, tools and techniques to arrange business travel, Meet the expectation of those involved in protocol and travel arrangements.
Overview The development, monitoring, and continued improvement of a highly-integrated, internal audit function is essential for the continued financial success, stability, and growth of world-class business entities. A well-designed and effective internal audit system will provide verification and support that accounting and financial policies, procedures, and controls are working adequately and will spotlight any significant matters that need attention.