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)
This is course will give you EVERYTHING you need to become a VTCT Level 4 Qualified Skin Specialist. Why do you need THIS course? Previously the beauty industry had very lax regulation and you could start your business with just CPD accreditation. However, insurance companies, professional skin care brands and professional equipment providers are now looking for qualifications like VTCT as these are a set standard that require assignments and exams at a very minimum of Level 2 and in most cases Level 3. The Level 4 qualifications have been developed as a result of a move towards regulating non-medical aesthetic therapies to ensure practitioner knowledge, client care and safety is at the forefront of all advanced non-medical aesthetic treatments offered by therapists. You will gain ofQual regulated qualifications in the following; Level 3 Access to Aesthetic Therapies- This has Level 2 Facial Therapy within it making the course suitable for complete beginner. Full content list is below. Level 4 Dermaplaning Level 4 Chemical Skin Peeling Level 4 Skin Needling (Nano Needling will be included at NO EXTRA COST) Level 4 Award In Facial Anatomy & Physiology at no extra cost. Full details can be found here Please confirm dates and availability with us prior to purchasing Who Is This Course Suitable For? This course is perfect for those who are beginners with no experience. However, the course can be tailored for those who have partial qualifications/ accreditation and would like to become a qualified Level 4 practitioner. Course Content You will cover; VTCT (ITEC) Level 3 Certificate in Access to Aesthetic Therapies This qualification is based on the National Occupational Standards (NOS) for relevant principles of beauty therapy and includes all the required elements to achieve a measurable and comparable qualification, which will facilitate further and additional study at levels 4 and above. Learners must achieve all mandatory units which include a combination of level 2 and 3 units; – Health and safety – Facial therapy – Consultation and client care – Anatomy, physiology and pathology – Electrical therapies- microdermabrasion, galvanic, high frequency, microcurrent, lymphatic drainage LED light therapy will be added on at NO EXTRA COST Throughout this qualification, learners will develop their knowledge and understanding of relevant anatomy and physiology and health and safety pertaining to level 2 and 3 therapies. They will also develop the knowledge, understanding and skills to consult with clients and analyse their skin to help facilitate the provision of facial therapies. In parallel, learners will develop their communication and customer service skills, all of which are valued highly by employers. Level 4 Facial Anatomy & Physiology– (standalone qualification is £330- as part of this course it is included for NO EXTRA COST) The aim of the Focus Awards Level 4 Award in Facial Anatomy and Physiology (RQF) is to provide learners with the knowledge and understanding of the anatomy and physiology associated with the facial area. Course content; -Understand facial anatomy and physiology -Understand associated pathologies -Understand skin disorders, injuries and conditions Level 4 Qualifications; Level 4 Dermaplaning Level 4 Chemical Skin Peeling Level 4 Skin Needling (Nano Needling will be included at NO EXTRA COST) A full start up equipment kit will be available to purchase on training. Details will be provided upon booking. Course Duration & Cost You will be registered onto online portal with easy access for viewing of tutorials reducing time in the centre. You will be required to do home study of treatment theory as well as assignments before you attend the practical training. This will allow more time to work on models and get hands on experience. You will be required to be in the centre for 3 intensive practical days £4800 Individually courses will cost you £5326 saving you £526! Why Choose Us? This course will allow you to offer the most on trend and in demand treatments that are results driven. The key to a successful business is to offer services that clients will want to keep coming back for. All of the treatments within this diploma have proven results which will support you in customer retention. We do not offer online courses for treatments that require the skill that can only be performed in front an experienced trainer. We ensure we offer a practical course that allows you to work on 2 models per treatment. We want you to be confident in the skill so you can start your business straight away. We are not an Academy and we take pride in this. This means we offer more than just training you in a skill. We understand how difficult and overwhelming it can be to start a new business and our ethos is to provide guidance and support to get you started. All our sessions have an option of 1-2-1 sessions for a personalised experience and have a maximum of 4 students per session. Your journey with us doesn’t end in the practical training session. When you train with Elixir Skin Training you become a part of our brand. We stay in touch with all our graduates and provide that motivation to get you going, which you will not find in large Academies. Quality of training is important but so is what comes after- we support you in every aspect because we want to see you build your business. Categories: Advanced Skin Care Courses, Combined Courses, ofqual, Training
students learn a variety of different brow tattooing techniques, so we will spend two days learning the shaded brow effects possible with a digital device and three days focused on our most-requested Hairstroke Brows.
Escape deep into the Sussex countryside for a weekend of stillness, introspection and nurture, through the practices of yoga, meditation and mindful stargazing.
NATIONALLY RECOGNISED AND ACCREDITED FORENSIC SCIENCE COURSE Level Three (advanced), awarding 3 credits. DUAL ACCREDITATION: Awarding Body: Open College Network (OCN Credit4Learning) Awarding Body: CPD (21 CPD Points) A modular "hybrid" forensic science course - eLearning (online) theory and one full day classroom based practical training (Crime Scene Investigations). The practical day covers a wide range of CSI techniques with "hands-on" practical training. On completion awards an OCN Nationally Recognised and Accredited Certificate in Forensic Science. This course is additionally CPD Accredited and also awards 21 CPD points on completion. PART 1 - THEORY Complete this part of your course online (eLearning Course) in the comfort of your own home or workplace. Please allow approx. 6-8 hours to complete the elearning modules. You do not need to complete Part 1 in one single "sitting” and can log on/off as many times as you wish and when convenient to you. You must complete both parts 1 and 2 to successfully pass this course. PART 2 - CLASSROOM Attend your forensic science practical day in the classroom, covering a number of key CSI investigative processes and procedures. You will develop your crime scene investigator skills with "hands-on" training in a classroom environment at the training location you have selected. Please note that we will provide protective clothing (disposable aprons), goggles and gloves. As you will be participating in a range of forensic activities we would suggest you wear easy clothing, short-sleeved top and closed-toe shoes. You can complete Part 1 before or after comleting Part 2. DOWNLOAD A COURSE ITINERARY HERE Course Itinerary M01 - Overview and Historical Background: A look at definitions, historical perspective highlighting major forensic advancements covering since early times, the beginning of modern forensics including the advent of fingerprinting, toxicology and DNA, and how DNA solved the first case (a double murder). Understanding the services of Forensic Labs and the major disciplines. M02 - Observational Skills Crime Scene Investigation & Recording Examination of the crime scene, photography, videography, sketch recording principles, using a CAD package. M03 - Forensic Pathology Understanding the job role, working within hospitals, mortuaries, the pathological processes and manner of death. M04 - Forensic Anthropology How does forensic anthropology help forensic scientists? Using physical markers present on a skeleton to determine age, sex, stature, and race. Bone anatomy and stages of development from foetal to elderly individual. Differentiating male and female: skull, pelvis, femur and humerus. M05 - Forensic Entomology How entomologists determine time of death as well as advanced investigations involving abuse and neglect. The life cycle of the blowfly and environmental influences. Using insect gut DNA to help solve crimes. CS01 - Case Study - Forensic Entomology - The Jigsaw Murders M06 - Forensic Serology Understanding presumptive tests and confirmatory tests. Tests in detail - processes and methods with options for: Blood, Saliva, Semen, Urine. M07 - Using the Microscope Correct procedures for using the light microscope. A look at the electron microscope and scanning probe microscope and their applications in forensic science. Detailed process guide including mounting slides.
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