FOUR DAY ATTENDENCE AND TRAINING GUIDELINE: DAY ONE AND TWO - INTRODUCTION TO DERMAL FILLERS Day one Arrive and coffees (10.00) Registration, introduction and expectations (10.00-10.15) Structure of the training (10.15-10.30) Break (10.30-11.00) Lectures and interactive workshops / simulation (11.00 - 1230pm) Health and safety in the workplace Sharps injury and disposal The consultation process and prescriptions LUNCH (1300-1730) with a coffee break Basic life support Anaphylaxis - recognition and management Emergency kits - what it should contain and how to buy one Your doctors on call - how to contact our on call doctors for emergency advice How to use Hyalase safely - when to use it / recognise mechanism of action, how prescription in an emergency works and how to give the hyalase Practical and to include demonstration of Hyalase injection Our added benefits services for safety and convenience Day two Arrive and coffees (10.00) introduction and expectations (10.00-10.30) Structure of the training (10.30-11.00) Formal written examination covering key areas of THEORY for Dermal Filler injections: Anatomy, Physiology, Products and Complications. This will highlight early on if any important areas need to be covered in more detail for the students (11.00 - 1200) - Break for lunch - Practical session commences - (12.30 - 1800) - and in total on average we have scope for one model per 30 minutes on both of the Dermal filler days, so that’s a potential for 10 in total for a class size of maximum 4, which will give good hands on experience, as the way we train is to allow several people the opportunity to be involved with each patient - e.g. splitting into the phases of treatment, which allows the trainees to understand the concept of the treatment process. That would be - consultation, consent, marking up, readying equipment, performing the injection, providing advice and aftercare. DAY THREE AND FOUR BOTOX FOUNDATION COURSE Day three Arrive and coffees (10.00) introduction and expectations (10.00 – 10.30) Structure of the training (10.30 – 11.00) Formal written examination covering key areas of THEORY for Botox Application: Anatomy, Physiology, Products and Complications. This will highlight early on if any important areas need to be covered in more detail for the students (11.00 - 1200) - Break for lunch - Practical session commences - (12.30 - 1800) - and in total on average we have one model per 30 minutes on both the botox and days, so that’s a potential of 10 in total for a class size of 4, which will give good hands on experience, as the way we train is to allow several people the opportunity to be involved with each patient - e.g. splitting into the phases of treatment, which allows the trainees to understand the concept of the treatment process. That would be - consultation, consent, marking up, readying equipment, performing the injection, providing advice and aftercare. Day four Observed Treatment Process Examination The participants will be tested on the following key facets of safe practical care: Consultation process - rapport and understanding what the client wants Safe consent Marking and photographs Technical skill of injection Atercare provision and safety netting (eg if this happens do this / call me) 1 model will be provided for Botulinum (3 area) treatment and 1 - 2 clients for filler to ensure that each of the key anatomical areas covered are observed. Morning = Botulinum (0900 - 1230) Afternoon = Botulinum and Option Dermal fillers (1330 - 1630) Conclusion Candidates given session and refreshments and discussion regarding Case Studies and further support. (1700 - 1800)
This Advanced Barbering Course is ideal for qualified ladies hairdressers looking to expand their Barbering skills, whilst working towards an internationally recognised barbering qualification. Expect to learn colour theory, practical colouring, colour correction, wet shaving and all the latest barbering cutting and styling techniques.
Lean Six Sigma Black Belt Certification Program 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)
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)
Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.
BAG AND ACCESSORY DESIGN COURSE: WHAT IS THIS COURSE ABOUT?This fashion design course for beginners and intermediates is a group class aimed to support aspiring designers or designers in need of guidance in designing viable and realistic bags and/or accessories.This course enables you to understand essential skills required to become a fashion bag designer ans well as guiding you through the steps necessary for designing, developing, prototyping and manufacturing your collection. WHY THIS IS NOT THE USUAL ‘ACCESSORY DESIGN’ COURSEThis course is designed by a team of designers, prototype makers and handbag manufacturers.It is both a theoretical and practical introductory course which will teach you what the industry requires from designers in order to be able to understand and correctly translate their ideas into finished products.This course is focused on giving you an overview on the complexity and extensiveness of the process that designing handbags requires.The course will assist you in understanding the prerequisites before and during the design of your styles. This knowledge will enable you to circumvent a lengthy, costly, and occasionally frustrating process when it comes time to prototype and manufacture your collection. WHY WE CREATED A FASHION DESIGN COURSEAfter years of experience in designing and developing collections for our customers, we realised that there was a substantial lack of clear information available about what designing a collection of handbags and fashion accessories truly requires and how it is achieved.We created this course with the aim of helping the new generation of designers, as well as designers which are still struggling, in developing their ideas and empower them to clearly and correctly communicate them to whoever is going to prototype their collection.We essentially have created this tuition based on the needs and problems of our customers, hoping to promote and facilitate creatives in the realisation of their projects. WHO IS THIS COURSE FOR?This course is designed for aspiring designers and professionals seeking expert advice from the industry. It caters to those in need of guidance to optimise their design process or understand the nuances of working as a fashion accessory designer.No previous experience is required. WHAT WILL BE TAUGHT?The designing classes cover various topics, including:Preliminary considerations before designing on the role and skills of a designerUnderstanding the concept and use of a moodboardAnatomy of a handbag, including lining and hardwearImportance of construction and finishing optionsDifferences and purposes of illustrations vs technical drawingsSketching techniques, including drawing in perspective and technical drawingsProduct development for a specific designUnderstanding what technical information the prototype maker requiresOverview of the prototyping process HOW WILL THE ABOVE BE TAUGHT:The class will take place in person at our London studio and the lesson will alternate between theoretical lessons and practical exercises. INCLUDED IN THE COURSE:You will also receive access to a collection of handouts providing relevant information, useful resources and support in continuing your designing process independently.The handouts will contain:– A glossary containing essential key words related to the topic of the lesson– An illustrated glossary containing information about type of bags and bags’ features– Documents about leather types, finishings, tanning processes– Information about perspective and guides to be used as reference to develop your drawings– A list of recommended suppliers for both leather and fittings (physically in London and online)– A glossary containing information about leather types and characteristicsWHAT ARE THE ENTRY REQUIREMENTS?You should be able to use measurements and understand verbal and written English instructions. ARE THERE ANY OTHER COSTS? IS THERE ANYTHING I NEED TO BRING?Materials to exercise with are included.Feel free to bring a notepad, if you would like to take some notes, we will provide the rest.HOW LONG IS THIS TUITION?:This tuition will require up to 7.5 hours to complete but depending on the number of attendees, the ability of participants and the group’s pace, the syllabus may be covered in a shorter time frame.We aim to provide customised and high-quality tuition services and by only allowing max 6 students at a time, we are able to focus on each person needs and interests.As every student has a different level of ability and previous experience, this course might lead some students to complete the core aspects of the lesson in a shorter time frame than others.Students who complete the course early will be welcome to stay and use the studio facilities to exercise on the topics of the lesson.
Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud, corruption and associated financial crime and money laundering.
On successful completion of the ID Liner Gloss & Go™ Lip Blush training course, students will not only be given the skills and tools to offer this incredibly popular treatment to their clients but will also be permitted to advertise the trademark, giving them an edge in a competitive market.
The objective of the ID Liner Permanent Eyeliner fundamental course is to teach you how to achieve this look for your clients. It is the perfect solution for clients who struggle to draw on their own eyeliner or who just want an expertly enhanced look 24/7
Overview Competitor Analysis is a key area every professional does to understand their business presence. It gives your insight into your business standings and also knowledge of your competitors and their strength and weakness. Analysing your competitors helps you understand the market and your power to deal with the competitors. It is an essential marketing and strategic tool. It provides both an offensive and defensive strategic tool to analyse opportunities and threats.