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Solution Focused Hypnotherapy Training Academy in Chester, Cheshire and North Wales

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)

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.

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.

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/

Learn the skills of a Crime Scene Investigator ... Explore the exciting world of the Forensic Investigator in this unforgettable interactive experience day. You will spend the day using real forensic methods and techniques to perform a range of established crime scene investigations. All investigations that you perform are "hands-on", giving you the opportunity to learn how these procedures work in real life. Your day will include: DRUG TESTING: Perform a drugs test! The suspect was carrying a small plastic bag of a white substance when arrested. He was known to police as a cocaine dealer. Was he carrying cocaine? Carry out chemical tests to establish if the white powder was cocaine? FINGERPRINTING: Learn how to lift and record fingerprints using the conventional dusting process to detect and preserve fingerprints. MICROSCOPY: Use a light microscope to forensically examine crime scene samples. Discover how to use different magnifying powers to optimise the results. FABRIC SAMPLE ANALYSIS: Compare samples collected at the crime scene and on the suspect to identify human hairs. SOIL ANALYSIS: Analyse soil samples collected from the crime scene and compare against soil recovered from the suspect's shoes. Identify which soil sample is common between both crime scene and suspect. Use chemical tests to confirm your results. TOOL MARK IDENTIFICATION: You have a known tool impression from the crime scene. Use forensic casting techniques to create clay impressions and compare with a range of tools recovered from the suspect's tool shed. Which tool did he use? BLOOD DETECTION: Blood-like stains were found at the crime scene. Before sending samples to the forensic lab we need to establish if they are blood samples. Use established forensic tests and procedures to identify blood spots and stains that may not be visible to the naked eye. DNA EXTRACTION: Perform an extraction procedure to extract DNA from samples provided. You will be able to see (and feel) actual DNA once you have completed the process! Awards a Certificate of Completion OPEN TO ALL APPLICANTS LOCATIONS THROUGHOUT THE U.K. AFTER THE COURSE … Understand the breadth of career opportunities available to you in nearly 100 specific disciplines of forensic science, including: Forensic Art Forensic Photography Wildlife Forensics Forensic Statistics Entomology Cypercrime and Cyper-IT Forensic Meteorology DNA analysis Counterfeiting & Forgery Casts & Impressions incl. tyres & shoes and many more! Appreciate the difference in roles between Forensic Scientist posts and Crime Scene Investigator posts. Understand that there are many forensic posts in niche areas that may benefit from existing transferrable skills (such as IT). Apply qualifications and skills acquired to parallel fields such as teaching. For a more detailed overview please see our "Opportunities in Forensic Science" guide. 

Overview Objective Describing the HR role and Strategies Describe different approaches to employee training Describe different approaches to professional development Describe different approaches to performance appraisals Summarize different forms of employee compensation

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 This training course will give participants a developed knowledge of credit analysis. Through a mix of lectures and interactive case studies, participants will be able to perform detailed credit analysis, including analysing market and environment, computing key financial ratios, interpreting cash flows and analysing financing needs. Key Topics Financial needs and the business operating cycle Review of financial statements Financial ratio analysis Corporate cash flow analysis Cash flow projections for debt service Key lending policy guidelines

Overview Objectives Define Policies and Procedures Differentiate between Policies and Procedures Explain the importance of Policies and Procedures Build and understand the SOP (Standard Operating Procedures) Define the roles and responsibilities of employees in various departments Abide by the Code of Conduct, the acceptable behaviour standards Justify how the Policies and Procedures help employees safeguard their self-respect Give equal opportunities to all the employees