1777 Courses

The Flight Instructor Licence FI(R)(H) There is a shortage of Flight Instructors currently, so many commercial pilots train to be a flight instructor and get their first job teaching people to fly. The satisfaction of seeing a student’s enthusiasm as they learn to fly, coupled with knowing you are being paid to fly, is immense. Becoming a Flight Instructor is a challenge. The course begins with a pre-entry test to ascertain your flying abilities: after all, if you’re going to teach you need to have mastered the art of flying a helicopter. There are 125 hours of ground school and 35 hours of flight training. All of it is based around teaching a student to fly helicopters to gain their PPL(H). Good instructors understand how to make learning to fly safe and fun, bringing the classroom to the student, often 2500 feet in the air. The course is usually intense and held in small groups of 3 or 4. You will learn about the psychology of presenting information and how people learn. You will be taught how to measure how well a student is doing and what advice you can offer to help them achieve their dream of becoming a helicopter pilot. Throughout the course your instructor will be not only your teacher but a student to practice on, simulating a student pilot’s ability. You’ll be able to recognise common mistakes a student pilot makes, so you can correct them and teach them what works better. Giving lectures, briefing students and then taking them flying will become second nature as you learn to fly the helicopter and teach from the co-pilot's seat. Your final flight test will also be challenging as you brief your examiner and then teach the briefed exercise in the air. This will be followed by a number of further short impromptu lessons in the air, including an autorotational landing at the airfield. In the afternoon you’ll be asked to teach a range of subjects for four hours from the PPL syllabus, perhaps explaining cold fronts, how an altimeter works, rules of the air.......... If you would like further information about the FI (H) course and the other training available from Heliflight or, for our current price give our office a call and we will be happy to help.

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)

How to Attract the Loving Intimate Relationship You Want

This one-day or Two Session workshop will focus on a key but often ignored communication skill: Focused Listening.

About this Virtual Instructor Led Training (VILT)  A decision to drill an exploration well with the objective to find a new oil or gas field must be based on sound assessment of the prospect risk and of the volumes. What is the chance that a well will find hydrocarbons, and how much could it be? Risk and volume assessments form the basis for decisions to drill a well or not, and as such form the link between subsurface evaluation and the business aspects of the petroleum industry. This Virtual Instructor Led Training (VILT) course explains how risks and volumes can be assessed in a realistic manner, based on a sound understanding of the geological details of the prospect as well as its regional geological setting and current play understanding. Participants of this VILT course will receive a softcopy of Risk and Volume Assessment Handbook which explains the concepts that are associated with probabilistic Risk & Volume (R & V) Assessment and contains many practical recommendations on how to translate geological understanding into meaningful inputs for probabilistic R &V assessments. The book is fully compatible with any probabilistic R & V tool in the industry. Training Objectives By the end of this VILT course, participants will be able to understand: The fundamentals of risk and volumes assessment; translating geological understanding into reasonable numbers and ranges. The difference between risk and uncertainty. Fundamentals of statistics; including explanation of distribution curves, understanding of expectation curves, do's and don'ts for adding risked volumes, and Bayes theorem. Uncertainty of trap, reservoir, seal and charge, illustrated by examples. Guidelines and exercises for estimating risks realistically and consistently. Calculating volume ranges for prospects and for portfolios of prospects; how to add prospect volumes for a correct representation of prospect portfolios. Incorporation of geophysical evidence (DHIs) in a realistic risk assessment. Target Audience This VILT course has been designed in the first place for geoscientists working in exploration, for prospect portfolio analysts and for their direct supervisors. It will also benefit staff from disciplines working closely with exploration staff, such as reservoir engineers, petrophysicists and geophysicists. Course Level Intermediate Training Methods Learning, methods and tools The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. It is the intention to have at least 2 smaller exercises per day. Time will be reserved for recapitulation, questions and discussions. VILT will be conducted either via Zoom or Microsoft Teams. Presenting materials can easily be done on this platform. When participants need to ask a question, they can raise their hand, write notes or interrupt the Instructor by using their microphone. The presenter can switch to a screen where he/she can see all participants (also when each participant is sitting in another location e.g. at home). There is also a whiteboard functionality that can be used as one would use a flip chart. Exercises will be done on an online platform which provides each participant with a private work area that can be accessed by the Instructor to discuss the exercise in a similar manner as in a classroom course. Each topic is introduced by a lecture, and learning is re-enforced by practical exercises and discussions. Handout material in electronic format will be provided. Trainer Dr. Jan de Jager has a PhD in Geology from the University of Utrecht. He joined Shell in 1979 as an exploration geologist, and worked in several locations around the world such as Netherlands, Gabon, USA, Australia, Argentina, and Malaysia in technical and management positions. During the last 10 years of his career, he was responsible for the quality assurance of Shell's exploration prospects in many parts of the world and for upgrading and replenishing Shell's global exploration portfolio. During this period, he had also developed extensive expertise in Prospect Risk and Volume assessments for which he ran successful internal training programmes. Following his retirement from Shell in 2010, Dr Jan de Jager took on a position as part-time professor at the University of Amsterdam and also serves as a consultant exploration advisor for various E&P companies. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Conflict Management 1 Day Training in Bristol

The leader of today has greater challenges than ever before in terms of unlocking human potential in their organisation and delivering results. This programme will help you achieve those aims and help you initiate and manage change more effectively. In particular, it will help you to: Develop an effective strategy to achieve your business goals Understand the role of emotional intelligence in leadership Take away a practical leadership tool-kit Develop a more dynamic approach through enhanced strategic creativity Broaden your understanding of the corporate culture to increase your influence within it Improve your persuasion and influencing skills to achieve your strategic goals Learn the key functions of strategic leadership In today’s world, one of the main aims of the leader is to develop the capability of the organisation to handle change and the challenges of the future even if those challenges have yet to be discovered. Leading in the organisational setting is becoming increasingly difficult because of the increase in regulation in all sectors and the risk of litigation. All organisations need leaders who can handle these challenges effectively, in particular the complexities of organisational life. At the same time, people who feel they are led effectively from the top find it easier to cope with and perform under higher pressure levels and therefore achieve the ultimate business goals Who should attend? This programme has been specifically designed for senior managers and those middle managers who are on the fast track to senior positions. It is suitable for both public and private sector individuals and all senior managers, executives and directors who understand the benefits both personally and professionally of developing strategic leadership skills. Practical training methods The course leader uses a broad range of learning techniques including short input sessions, individual development exercises, group work and case studies to provide a strong mix between practical training and giving a sound foundation of strategic leadership theory. The course provides you with a unique opportunity to put into practice what you have learnt and benefit from the observations and perceptions of the other course members. Leadership is less about doing and more about being. Day One Introduction and objectives The need for strategic leadership The roots of leadership How thought on leadership has developed Current perceptions on strategic leadership The leadership/management debate People and process issues The integrated approach to deliver results Levels of leadership The capabilities required at the strategic level The difference between strategic leadership and strategy Qualities and capabilities of strategic leaders Illustration through case studies Review of strategic capability Developing specific leadership qualities A review of strategic capability using case study examples Developing an approach to leadership Reviewing the traditional and current approaches to leadership CASE STUDY 1: Developing a leadership strategy Understanding leadership processes at all levels Applying the leadership hierarchy Analysing the process PRACTICAL EXERCISE Demonstrating the theory of leadership processes in practice Leadership and emotional intelligence The relationship between leadership and emotion The essence of organisational climate PRACTICAL EXERCISE Participants will work on an exercise to illustrate the theory of emotional intelligence in practice Day Two Review of day one Understanding strategic creativity Examining the psychological aspects of strategic thinking Mind mapping and other approaches to creative thinking Developing a creativity toolkit CASE STUDY 2: A strategic leadership challenge Developing a new vision and plan to transform an organisation to face future challenges based on a real-life scenario Developing strategic leadership capability A review of current approaches Understanding the behavioural approaches Developing a contingency approach Understanding corporate culture The structural aspects The behavioural aspects The human aspects How leaders can change corporate culture Developing a toolkit for change Understanding the cultural web The link with emotional intelligence CASE STUDY 3: Analysing leadership techniques This practical case study illustrates how the strategic approach and the application of appropriate leadership techniques including ‘split screen ability’ work in a real-life scenario Performance aspects at the strategic level Developing vision, goals and objectives Creating corporate identity and alignment Working with individual influencers Effective strategic influencing skills The characteristics of effective persuasive leaders Understanding methods of persuasion Profiling others Building the top team The nature of the top team Accepting diversity and challenge The key functions of strategic leadership Putting these into action Personal leadership planning Identifying tomorrow’s leaders Practical approaches The challenges for the future. Programme closure Action logs Next steps Feedback

The leader of today has greater challenges than ever before in terms of unlocking human potential in their organisation and delivering results. This programme will help you achieve those aims and help you initiate and manage change more effectively. In particular, it will help you to: Develop an effective strategy to achieve your business goals Understand the role of emotional intelligence in leadership Take away a practical leadership tool-kit Develop a more dynamic approach through enhanced strategic creativity Broaden your understanding of the corporate culture to increase your influence within it Improve your persuasion and influencing skills to achieve your strategic goals Learn the key functions of strategic leadership In today’s world, one of the main aims of the leader is to develop the capability of the organisation to handle change and the challenges of the future even if those challenges have yet to be discovered. Leading in the organisational setting is becoming increasingly difficult because of the increase in regulation in all sectors and the risk of litigation. All organisations need leaders who can handle these challenges effectively, in particular the complexities of organisational life. At the same time, people who feel they are led effectively from the top find it easier to cope with and perform under higher pressure levels and therefore achieve the ultimate business goals Who should attend? This programme has been specifically designed for senior managers and those middle managers who are on the fast track to senior positions. It is suitable for both public and private sector individuals and all senior managers, executives and directors who understand the benefits both personally and professionally of developing strategic leadership skills. Practical training methods The course leader uses a broad range of learning techniques including short input sessions, individual development exercises, group work and case studies to provide a strong mix between practical training and giving a sound foundation of strategic leadership theory. The course provides you with a unique opportunity to put into practice what you have learnt and benefit from the observations and perceptions of the other course members. Leadership is less about doing and more about being. Day One Introduction and objectives The need for strategic leadership The roots of leadership How thought on leadership has developed Current perceptions on strategic leadership The leadership/management debate People and process issues The integrated approach to deliver results Levels of leadership The capabilities required at the strategic level The difference between strategic leadership and strategy Qualities and capabilities of strategic leaders Illustration through case studies Review of strategic capability Developing specific leadership qualities A review of strategic capability using case study examples Developing an approach to leadership Reviewing the traditional and current approaches to leadership CASE STUDY 1: Developing a leadership strategy Understanding leadership processes at all levels Applying the leadership hierarchy Analysing the process PRACTICAL EXERCISE Demonstrating the theory of leadership processes in practice Leadership and emotional intelligence The relationship between leadership and emotion The essence of organisational climate PRACTICAL EXERCISE Participants will work on an exercise to illustrate the theory of emotional intelligence in practice Day Two Review of day one Understanding strategic creativity Examining the psychological aspects of strategic thinking Mind mapping and other approaches to creative thinking Developing a creativity toolkit CASE STUDY 2: A strategic leadership challenge Developing a new vision and plan to transform an organisation to face future challenges based on a real-life scenario Developing strategic leadership capability A review of current approaches Understanding the behavioural approaches Developing a contingency approach Understanding corporate culture The structural aspects The behavioural aspects The human aspects How leaders can change corporate culture Developing a toolkit for change Understanding the cultural web The link with emotional intelligence CASE STUDY 3: Analysing leadership techniques This practical case study illustrates how the strategic approach and the application of appropriate leadership techniques including ‘split screen ability’ work in a real-life scenario Performance aspects at the strategic level Developing vision, goals and objectives Creating corporate identity and alignment Working with individual influencers Effective strategic influencing skills The characteristics of effective persuasive leaders Understanding methods of persuasion Profiling others Building the top team The nature of the top team Accepting diversity and challenge The key functions of strategic leadership Putting these into action Personal leadership planning Identifying tomorrow’s leaders Practical approaches The challenges for the future. Programme closure Action logs Next steps Feedback

The ACTIVE Coaching® system provides powerful, effective coaching to un-lock employee potential, improve motivation as well as build self-confidence.