611 Confidence courses in London

LEATHER CRAFT AND LEATHER SEWING TECHNIQUES: WHAT IS THIS COURSE ABOUT? This is a theoretical and practical introductory group tuition during which you will be taught common, essential leather crafting and sewing techniques and understand how working with leather differs from working with vegan leather or fabric.You will be taught how to correctly use hand tools, how to sew leather by hand and understand the most common finishing and construction techniques used in bag and accessory making. You will learn about different types of leather and understand how to select the correct type of material(s) for your project. You will receive an overview of the technical aspects of working with leather and constructing bags and accessories such as inking, burninshing, marking, cutting, gluing, reinforcing, skiving, debossing and more.You will learn how to saddle stitch, select the appropriate tools for this sewing technique, and produce your own samples of work to take home with you.You will receive relevant, useful and informative handouts as well as lists of leather and tool suppliers. At the end of the lesson, you will have the choice to create a simple hand-sewn leather item, such as a simple purse or card holder, to take home with you, or to practice more techniques.This is a professional course delivered by a prototype maker and manufacturer, with the aim of providing an overview and hands-on experience on more common leather working practices. At the end of the tuition you will have: – Gained an understanding of leather types, tanning methods, leather characteristics and the best uses for specific projects. – Gained confidence in using specific tools for preparing, marking, finishing, cutting leather and fastening fittings. – Understood and practiced leather craft techniques such as inking, beveling and burnishing techniques – Understood what it means to work with different leather types and thicknesses and have the ability to source and select the correct tools and materials for your projects. – Understood how to manipulate leather using tools, reinforcement, stabilisers and stiffeners in crucial areas of bags and accessories. – Gained confidence in sewing by hand and obtained the skills to realise some simple leather items independently. WHAT WILL BE TAUGHT?Below is a list of topics covered during the classes: LEATHER, VEGAN LEATHER AND HAND TOOLS: – Understanding leather: overviews on types of leather, tanning, finishings and best use– Vegan leathers: an overview on different types and features – Understanding how to choose the right materials for your project and the appropriate tools for those materials – Leather preparing, pattern placement and marking on leather – Cutting complex shapes using a variety of tools – Using leather punches – Understanding the use of skiving, beveling and creasing – Finishing leather edges: painting vs burnishing – Using various leather glues and tapes – Understand the use of reinforcements, fusings and stabilisers to back leather – Prototyping and manufacturing leather goods: mentions of different working methods, machines and tools HAND SEWING: – To understand the different options, characteristics, and proper application of the tools used in saddle stitching – To learn the basics of saddle stitching leather and understood the different the tools and materials used in the technique CONSTRUCTION TECHNIQUES: – To create a small, simple hand stitched leather item to take home with you INCLUDED IN THE COURSE: You will be provided with useful digital and paper handouts which contain:– A list of tools and materials used during the lesson(s), including a description of what they are and how they are used– A list of recommended suppliers for both leather and fittings (physically in London and online)– A glossary containing essential key words related to the topic of the lesson– A glossary containing information about leather types and characteristics WHAT ARE THE ENTRY REQUIREMENTS?This course is suitable for total beginners, beginners with some experience and intermediate.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 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 12 hours to complete. We aim to provide customised and high quality tuition services and by only allowing up to 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.

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)

Learn all the essentials of how to make luxurious, fragrant soaps, for home, gifts to wow your friends and family, or as an aspiring entrepreneur.

This is a highly interactive programme designed by the communication experts at TCM. The course helps learners to develop essential skills for everyday management. On this programme, delegates learn how to navigate the complex maze of having difficult conversations, managing performance, and giving bad news. Offering a proactive and hands on approach to teaching, the TCM trainers equip delegates with the confidence to have those crucial conversations, to prevent disputes before they escalate out of control and, to be assertive in addressing performance issues to achieve engagement and sustainable outcomes.

Overview This course is incredibly elegant to feed psychological feature feeling and confidence needed in an everyday work state of affairs so as to run the team and organisation to attain sensible results. it'll facilitate building your trust and loyalty and enhance your skills and your behaviour additionally it'll facilitate setting objectives, motivating and communicating together with your folks.

Overview The course focuses on topics such as the fundamental concepts of auditing and quality management, principles of internal and external audit, auditing processes and tools, principles and practice of root cause analysis, communication and people skills, and other related topics. Students who successfully complete this course will gain the essential knowledge and skills necessary to become successful auditors and work with confidence to improve the processes in their organizations.

Overview This course can offer you a transparent understanding of the credit management method and increase your confidence when handling credit management matters. This course will equip delegates with a range of enhanced communication skills to enable them to effectively collect debt by phone. These skills can be used to make sure that they are not only more effective at collecting money from customers but also maintain positive working relationships.

Overview NLP Sales Training will help shape your confidence and charisma as your communication skills grow. You will gain the tools to understand your client's needs at a deeper level so you can communicate more clearly and directly, thus increasing your personal influence and encouragement during their buying experience. This training will help you feel confident, connect more with your prospective/ existing customers and increase your ability to influence and get your message across. 

Public Speaking Courses That Work Our public speaking courses are refreshingly different and transformative. Mindful presenting is the key to the future of high impact public speaking training. In fact, we are changing organisations one presentation at a time. We do that by providing training that empowers and equips professionals to present with greater confidence, clarity and impact.