799 Lead courses in London

This course focuses on empowering managers to foster a culture of ownership, leverage effective delegation practices, and enhance productivity within their teams. Participants will explore strategies and techniques to delegate effectively, promote accountability, and optimise team performance. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates. If you have a smaller number of delegates the Puritas 1:1 Leadership Coaching Programme is recommended.

Ideal for those wanting a completely practical Hair Cutting and Colouring Course. You’ll learn the 9 Alan d foundation haircuts along with finishing techniques, shampooing, cutting, styling, blow-drying, client care and salon protocol. After 4 weeks (20 days), you will then move on to a 4 week (20 days) colour class covering basic product knowledge, root coverage, full-head colour, foils, meche & Balayage. You will be taught on both dummy heads & live models.

An inspiring manager has the ability to motivate and develop team members' skills which is crucial for overall company performance and employee engagement. A key aspect of this is to support and encourage each team member to reach their full potential. Effective 1:1 meetings build confidence and provide direction, allowing individuals to find their own solutions and strategies. This approach empowers employees, fostering personal responsibility and increased performance. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates and duration of course selection. If you have a smaller number of delegates, the Puritas 1:1 Leadership Coaching Programme is recommended.

As a manager and leader your role involves motivating and supporting your team for effective and productive outcomes. This course emphasises the importance of self-care and emotional intelligence to maintain personal well-being and foster team success. Objectives: Understand why self-care is crucial for both managers and teams. Learn strategies to prevent burnout, minimise distractions, and manage stress. Implement methods to cultivate a balanced and supportive work environment. As a manager and leader your role involves motivating and supporting your team for effective and productive outcomes. This course emphasises the importance of self-care and emotional intelligence to maintain personal well-being and foster team success. Objectives: Understand why self-care is crucial for both managers and teams. Learn strategies to prevent burnout, minimise distractions, and manage stress. Implement methods to cultivate a balanced and supportive work environment.

This full day workshop is designed to follow on and build on the learning from the 1-hour webinar to provide an embedded learning experience leading to acceptance and change of culture around neurodiversity. We understand the pressure managers can experience working within a neurodiverse team, this training is designed with managers in mind.

The Night Rating can be added to a PPL or LAPL, once completed, the rating permits you to fly at night under certain conditions. Once started, the rating must be completed in 6 months, from the start date. Take to the night skies and enjoy a total different and unique flying experience. Our night flying training will lead to an additional rating for your PPL or LAPL pilot licence allowing you to fly at night. We would love to join you on your new challenge as a qualified pilot. Whether you want a new experience, challenge or just want to enhance your existing skills, Aerohire have the aircraft and experienced team to support you.

Leadership and Management Training; Introductory Management Training; Ipswich; Suffolk

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)

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)

ITIL® 4 Leader: Digital and IT Strategy The ITIL® 4 Leader: Digital and IT Strategy (DITS) is one of the two modules in the ITIL® 4 Strategic Leader (SL) certification scheme. The other module in the SL designation is the ITIL® 4 Strategist: Direct, Plan & Improve. Accredited training for the ITIL® 4 Strategic Leader modules is mandatory to enable full understanding of the core material. The ITIL ® 4 Digital and IT Strategy certification focuses on enabling business success through the creation of digital and IT strategies. The IT and Digital Strategy certification adds a new perspective to the ITIL suite and elevates the discussion around ITIL concepts to a strategic level among business leaders and aspiring leaders. The ITIL® 4 Digital and IT Strategy course is based on the ITIL® 4 Digital and IT Strategy exam specification from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, you will acquire relevant knowledge to pass the certification exam. The core learning material in the course is supported by interactive case study, discussions and activities. What You Will Learn The ITIL ® 4 Digital and IT Strategy course covers the content in relation to the following learning outcomes of the exam specification for ITIL ® 4 Digital and IT Strategy: Demonstrate the use of the ITIL guiding principles in Digital and IT Strategy decisions and activities Understand how to leverage digital strategy to react to digital disruption Understand the relationship between the concepts of Digital and IT Strategy, the service value system and the service value chain, and explain how to utilize them to create value Understand how an organization uses Digital and IT Strategy to remain viable in environments disrupted by digital technology Understand strategic approaches made possible by digital and information technology to achieve customer/market relevance and operational excellence Understand the risks and opportunities of Digital and IT Strategy Understand the steps and techniques involved in defining and advocating for a Digital and IT Strategy Understand how to implement a Digital and IT Strategy Key Concepts of Digital and IT Strategy Digital, Information, and Communication Technology Digital Transformation Services, Products, and Competitive Advantage Tiers of Strategy Business Models Operating Models Strategy and the Service Value System Opportunity and Demand Value Governance ITIL® Guiding Principles Continual Improvement ITIL® Practices What is Vision? Disruptions Vision Digital Disruptions Balanced Strategic Focus Positioning Tools for Digital Organizations Assignment 1: Digital Disruption and Digital Positioning Where Are We Now? Environmental Analysis Opportunity Analysis Digital Readiness Assessment How Do We Get There (Strategic Planning) Strategy Planning Financial Aspects of Digital and IT Strategy Business Models for Strategy Planning Portfolio Optimization How Do We Get There (Strategic Approaches) Strategic Approaches for Digital Organizations Strategic Approaches for Operational Excellence Strategic Approaches to Evolution Strategic Approaches to Social Responsibility and Sustainability Assignment 2: Strategic Approaches for Digital Organizations Take Action (Managing Strategic Initiatives) How Strategies are Implemented Coordinating Strategy and Strategic Initiatives Leading Digital Transformation Digital Leadership Assignment 3: Strategy Planning and Communication Did We Get There? (Measuring Strategy) Key Facts About Measurement Measuring a Strategy Instrumenting Strategy How Do We Keep the Momentum Going Long-Term Momentum: Ensuring Organizational Viability Short-Term Momentum: Parallel Operation Assignment: Digital Strategy in VUCA Environment Managing Innovation and Emerging Technologies Managing Innovation Formal Approach to Innovation Management Culture that Supports Innovation Approaches to Innovation Evaluating and Adopting Emerging Technology Managing Strategic Risk Risk Management Risk Identification Risk Posture Risk Treatment