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)
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.
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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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Unlock your potential in the beauty industry with our Ultimate Value Training Package! This all-inclusive training package combines our highly sought-after VTCT Level 2 Facial & Skincare, VTCT NVQ Level 3 in Beauty Therapy, and VTCT Level 4 Laser Hair Removal & Skin Rejuvenation training courses. Invest in your future with this comprehensive package that will empower you with the knowledge and skills needed for a successful career in beauty therapy. What's Included: VTCT Level 2 Facial & Skincare Course Standalone Cost: 1,350 Learn the fundamentals of facial treatments and skincare Master techniques for various skin types and conditions Gain hands-on experience with industry-standard products and equipment VTCT NVQ Level 3 in Beauty Therapy Standalone Cost: 2,550 Expand your skills in advanced beauty treatments Delve into specialised techniques such as microdermabrasion and electrical treatments Enhance your client consultation and communication skills VTCT Level 4 Laser Hair Removal & Skin Rejuvenation Standalone Cost: 1,350 Master advanced techniques and cutting-edge beauty treatments Qualify in laser hair removal, light therapies, as well as aesthetic treatments Develop skills in managing a beauty therapy business Your Investment Ultimate Value Training Package - 4,230 (30% saving of 2,450!) Why Choose Our Ultimate Value Training Package? Comprehensive training: Our package covers a wide range of beauty therapy techniques, from foundational to advanced, ensuring a well-rounded education in the field. Expert instructors: Learn from experienced professionals who are passionate about sharing their knowledge and expertise. Flexible scheduling: Our courses are designed to accommodate your busy schedule with a variety of learning options, including full time, part-time and weekend classes. Hands-on experience: Gain valuable practical experience in our state-of-the-art training facilities. Industry-leading qualifications: Our courses are accredited by VTCT, ensuring you receive high-quality training that meets industry standards and is internationally recognised. Take the First Step Towards a Rewarding Career in Beauty Therapy Ready to embark on your journey to success in the beauty therapy industry? Our Ultimate Value Training Package is the perfect investment in your future. With comprehensive training, hands-on experience, and expert guidance, you'll be well on your way to a fulfilling and lucrative career. Don't miss out on this incredible offer! Enrol today and start building the foundation for a successful career in beauty therapy.
Are you looking to start a career in aesthetics but need the prerequisites for a traditional course? Look no further! Cosmetic College offers a fast-track pathway to becoming an accredited and insurable cosmetic injector. Our five day course is designed specifically for non-medics who want to pursue a career in aesthetics but need to meet the standard course prerequisites. Expert practitioners and educators deliver our course with years of industry experience. We prioritise safety and ensure that all learners will leave the system with the competency and knowledge necessary to perform injectables and aesthetic procedures with confidence. Before starting the course, you'll complete online pre-study and virtual lectures to give you a solid foundation in anatomy and physiology, health and safety, contraindications, complications, first aid, and infection control. Then, you'll spend 6-8 days of practical training, depending on your chosen course path, to hone your skills and get hands-on experience. Our fast-track pathway to injectables covers various topics, including microneedling, B12 dermaplaning, foundation lip dermal fillers, and more. To enrol in our fast-track course, you must be at least 21 years of age and have a good command of English. You should also be able to learn independently and have a strong desire to build a career in aesthetics. Invest in your future with Cosmetic College's fast-track pathway to injectables. With our comprehensive curriculum, expert instructors, and hands-on training, you'll be ready to start your aesthetic career. Take advantage of this opportunity to fast-track your aesthetic career. Enrol in our fast-track pathway to injectables today! Course Entry Requirements: Minimum age of 21 years Good command of English Be able to learn independently A strong desire to build a career in Aesthetics Course Pre-Study/Practical & Length: Online study and virtual lectures A series of online assessments Five days of practical training Course Agenda: Microneedling B12 Dermaplaning Foundation Lip Dermal Fillers Anatomy and Physiology Anaphylaxis Awareness Infection control Sharps and hazardous waste Complication management First aid Course Benefits Student Benefits Comprehensive Education: Our training program provides a comprehensive education on dermal fillers, equipping you with the knowledge and skills necessary to excel in the field of aesthetics. You will gain a deep understanding of facial anatomy, product selection, injection techniques, safety protocols, and patient assessment. Practical Hands-on Experience: We emphasise practical training, giving you ample opportunities to practice your skills under the guidance of experienced trainers. Working with live models will enhance your confidence and proficiency in performing dermal filler treatments. Industry-Standard Techniques: You will learn industry-standard techniques for administering dermal fillers, ensuring that you provide safe and effective treatments to your clients. This knowledge will enable you to achieve natural-looking results and meet the expectations of your clients. Personalised Guidance and Mentorship: Our trainers are highly experienced professionals who will provide personalised guidance and mentorship throughout the training. They will address your questions, offer constructive feedback, and help you refine your techniques, ensuring your continuous growth and improvement. Business and Marketing Support: In addition to the technical skills, we provide guidance on the business aspects of aesthetics. You will learn strategies for building and marketing your aesthetics practice, attracting clients, and maximizing your earning potential. This knowledge will empower you to establish a successful career in aesthetics. Client Benefits Expertise and Safety: Clients will have confidence knowing that you have received comprehensive training in dermal fillers. Your expertise will enable you to provide safe and high-quality treatments, minimising the risks and complications associated with the procedures. Natural and Desired Results: Through your training, you will be able to deliver natural and desired results to your clients. Your understanding of facial anatomy, product selection, and injection techniques will allow you to enhance their features, rejuvenate their appearance, and boost their self-confidence. Professionalism and Trust: By enrolling in our training program, you demonstrate your commitment to professionalism and continuous learning. Clients will trust in your skills and knowledge, knowing that you have received proper training from a reputable institution. Earning Potential Earning potential in the aesthetics industry can be significant. As a trained professional in dermal fillers, you can offer sought-after services to clients. The increasing demand for aesthetic treatments, combined with your expertise and ability to deliver exceptional results, can lead to a thriving client base and increased earning potential. The Fast Track To Aesthetics - Dermal Filler Training provides you with the foundation and skills necessary to capitalise on these opportunities and maximise your earning potential in the aesthetics field. Frequently Asked Questions Is this training suitable for beginners with no prior experience in aesthetics? Absolutely! Our Fast Track To Aesthetics program is designed to cater to beginners who are new to the field of aesthetics. We provide comprehensive training that covers the fundamentals of dermal fillers, ensuring that you gain the necessary knowledge and skills to start your journey in aesthetics. What topics are covered in the training program? Our training program covers a wide range of topics including facial anatomy, patient assessment, product selection, injection techniques, safety protocols, and client management. You will also receive hands-on training with live models to practice your skills under the guidance of experienced trainers. Are the trainers experienced in the field of aesthetics? Yes, our trainers are highly experienced professionals with extensive knowledge and practical experience in the field of aesthetics. They are dedicated to providing you with the guidance and support you need to excel in your training.
Lean Six Sigma Green Belt Certification Program This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps