1169 Learning courses in London

Basic ECG interpretation ECG basics for beginners ECG course for healthcare professionals ECG training for nurses Beginner ECG reading skills Introduction to ECG interpretation Understanding ECG rhythms Identifying common ECG abnormalities ECG strip reading practice ECG lead placement ECG graph paper essentials Interpreting normal sinus rhythms Recognizing cardiac arrhythmias Practical ECG exercises Hands-on ECG interpretation Expert instructors in ECG training CPD accredited ECG course 7 hours toward nursing revalidation Healthcare professional ECG certification Real-world ECG scenarios

Classroom/in-person IAM Diploma course in Central London UK. Get trained in Advanced Asset Management.

Artificial Intelligence is becoming more and more prevalent in society and many occupational sectors. But what about teaching? Is AI a threat to history and geography teaching, assessment and quality assurance? Or is it the saviour for teacher workload and a creative force that can bring our subjects to life for our pupils? Is it both of these things, or neither? In this special partnership event from the Historical Association and Royal Geographical Society (with IBG), we explore the implications of AI for history and geography in schools and how we can best harness the power of AI for us as teachers and for our pupils. This event will be suitable for primary and secondary teachers of history and geography.

Classroom/in-person IAM Diploma course in Central Manchester UK. Get trained in Advanced Asset Management.

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.

Cosmetic College is excited to introduce our new combined training package, designed to provide in-depth expertise in two of the most sought-after cosmetic procedures: microblading and micropigmentation. This unique program combines our VTCT Level 4 Certificate courses in Enhancing Eyebrows with Microblading Techniques and in Micropigmentation, offering a holistic approach to advanced cosmetic training. Course Details: VTCT Level 4 Certificate in Enhancing Eyebrows with Microblading TechniquesDuration: 3 daysContent Overview:Anatomy and physiology for microblading techniques.Health, safety, and hygiene for the microblading sector.Consultation, treatment planning, and preparation.Enhancing eyebrows with microblading techniques.Managing and marketing your microblading business. VTCT Level 4 Certificate in MicropigmentationDuration: [Specify Duration]Content Overview:Advanced techniques in micropigmentation.Comprehensive understanding of color theory and pigment selection.Skin anatomy and physiology relevant to micropigmentation.Health, safety, and hygiene standards for micropigmentation.Client consultation, design, and aftercare procedures. Combined Package Benefits: Comprehensive Skill Set: Gain expertise in both microblading and micropigmentation, enhancing your versatility and employability in the beauty industry. Cost-Effective Learning: Enroll in both courses at a reduced total cost compared to taking the courses separately. Integrated Curriculum: Experience a curriculum that seamlessly integrates the knowledge and skills from both courses, providing a cohesive learning journey. Expert Instructors: Learn from industry experts with extensive experience in cosmetic procedures. Certification and Recognition: Upon successful completion, receive two VTCT Level 4 Certificates, recognised internationally for their high standards in the beauty sector. Who Should Enrol? This package is ideal for beauty professionals looking to expand their service offerings, individuals seeking a career in advanced cosmetic procedures, and those aspiring to become experts in eyebrow enhancement and skin pigmentation techniques.

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.

Need a course that gets you job ready without any hassle? Our TB Diploma course gets you ready for the barber life.

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)