2254 BA courses in London

students learn a variety of different brow tattooing techniques, so we will spend two days learning the shaded brow effects possible with a digital device and three days focused on our most-requested Hairstroke Brows.

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Expert Body Shape Fillers Package includes: Fat-Dissolving injections – Fillers BBL (Brazilian Buttocks Lift ) with Filler – Non Surgical Threads lift injectables for body Entry requirements Registered Medical professional Level – Beauty Therapist Dental Nurse Physiotherapist Holds at least 6 months experience with needles (micro-needling, microblading, tattooing, vaccinations, phlebotomy and more) NOTE! After booking we will contact you for scheduling the exact course date! Courses dates are subject to change due to mentors availability. We will inform you via email if a date becomes available! Additional information ATTENDANCE ONLINE (Theory), IN CLINIC (Practice) EXPERT LEVEL Fat-Dissolving injections – Fillers BBL (Brazilian Buttocks Lift ) with Filler – Non Surgical PDO Threads lift injectables for body PRP/ Mesotherapy Training Course Choose Online Theory or In-Clinic with practice 4 Days Intensive Courses (1 Week)

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

About this Training Course Comprising 5 full-day sessions, this intermediate to advanced level course is specifically designed for senior exploration geoscientists currently active in hydrocarbon play and prospect mapping, to optimise conceptual geological input into their technical evaluation. The course focuses on seismic stratigraphic analysis in different basin settings - i.e., passive, convergent, extension and oblique - in order to construct a coherent geological story line, underpinning hydrocarbon play and prospect evaluation. The course is largely based on seismic stratigraphic case histories and exercises, with the support of seismic, well log and outcrop examples. Training Objectives Through short, focused presentations and a series of industry case history-based examples and exercises, participants will learn to optimise conceptual geoscience input into technical subsurface analysis. This will help to produce coherent geological subsurface interpretations for use in Play-based, Prospect and Appraisal evaluations. Target Audience This course is intended for senior geoscientists with more than five years of work experience, with a background in play and/or prospect evaluation and experience in seismic interpretation. Course Level Intermediate Advanced Training Methods Participants will be exposed to short lectures throughout the 5 days, followed by hands-on individual and team exercises in a variety of geological settings. 'Let the data tell their story' is a key recurring theme in this course. Trainer Your expert course leader has 38 years of experience as Exploration Geologist for Shell globally, with field experience in a/o Egypt, NW Borneo, MENA, China, Madagascar, North Sea, Oman and The Netherlands (Shell EP Research and Training Centre in Rijswijk). He has strong evaluation and project lead skills in Play-based Exploration, Prospect Maturation, Opportunity Screening and NFE / Appraisal disciplines. He developed key geoscience skills in Seismic and Sequence Stratigraphy as well as Reservoir Characterization, including sedimentology and diagenesis. He has extensive supervisory, teaching, and coaching experience as well as a strong interest in Geoscience (Depositional Systems, Regional and Reservoir Geology) and Petroleum Geology Learning. 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 post training support and fees applicable Accreditions And Affliations

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)

Overview This training will give you the platform to learn everything you need to carry out effective cost-benefit analyses, the risk and uncertainty involved, and how to handle the various different types of information available. The skills you will gain will allow the administration of more accurate and reflective cost-benefit analyses through improved methods and processes. 

In-house training courses on electric and hydrogen vehicle technologies, charging infrastructure and how they work.

A course for those lacking a property-specific education or requiring a broader perspective. About Who Could Benefit?   A 2-day dynamic course providing a solid knowledge foundation explaining the property industry. The course is for those who work with property clients or those who work in property and lack formalised property training or have a one-sided background. This course is available in-house on demand. The on-line course suits those new to property as well as those who have worked in the industry for many years looking to dot the is and cross the ts, as well as broaden their knowledge base and understanding. We have taught across the ranges of age and seniority. A senior practitioner teaches from their real-life experience using captivating examples and anecdotes. We bring theory to life! A shorter, more general curriculum of just 1 day is available (see Introduction to Property). Both courses are available to be taught in-house as well. Trainer: Kaushik Shah Modules Understanding Property (2 day course) This course provide a captivating overview of the property industry and teaches foundation knowledge in just 2 days. We tackle lots of jargon along the way in a very engaging manner. This course provides a solid grounding in a great many aspects of the real estate industry. Day 1 provides foundation and leasing knowledge. We look at how companies design, build and lease-up, what drives trends and property cycles, and how things are changing within the industry. In day 2 we concentrate on the investment side and look at how companies finance, service, value and invest in real estate as well as the how and why of companies and individuals investing in certain types. We also delve into how residential, retail, offices, industrial and other asset types differ, including across countries. The course explains the lettings and investment aspects, how it all fits together and how things work. All is explained in context with lots of examples so delegates can relate it to their own job. This course enables you to understand what your colleagues and clients do, what they want and the jargon they use. Real-life case studies on both days tie everything back together. See below for a brief overview of content. For full course content click the ‘see content’ button below Day 1: Foundation & leasing knowledge • Property needs occupiers to thrive • Asset types • Insight into real market drivers & dynamics • Asset-specific considerations • Traditional property job roles demystified • The Property Industry is Changing • ESG – Overview, frameworks, tools, regulation, overlaps & jargon • Property Jargon • The letting process • How lease events differ by property type • Case Study Day 2: real estate investment • How letting income translates into investment value • Valuations explained • Investment Jargon • Understanding Investors • Where does property fit in as an investment amongst other asset classes? • Why invest in property? • Routes to CRE investment – investment options and fund names unpicked • Risks • Investment fund structuring • Case study To book this course or enquire about the next course date, please email kaushik@propertyoverview.co.uk or fill in our booking form Next Date Available: Tue 18 + Wed 19 June 2024 | Location: London or on-lineIn-house course ‘Introduction to Property’ Tailor-made foundation knowledge course for those working in property or with property clients. The course is designed by a senior practitioner with hands-on experience who understands what clients want. An extensive selection of course modules exist (check out the content of the 2-day course) and content can be created, added to or abbreviated as required, or worked around your business product. See content Pricing Find the best price.   Property Overview offers competitively priced on-line training courses with unique practitioner-led content. Applied, relevant content leads to greater impact and value-for-money. Pricing below is shown for on-line public courses for individual bookings, and for on-line in-house courses. For bookings of 4 or more staff an in-house course is recommended, also as the content can be tailored around your needs and your products or services. To book one or two individual places please fill in the booking form, otherwise email kaushik@propertyoverview.co.uk Understanding Property (2 day course) £1,150 + VAT • Per Person at a public course + UK VAT where applicable• Course also available to be taught in-house• Prices upon application for courses taught abroad face-to-face.• Available as on-line course across the world at no extra cost.In-house course ‘Introduction to Property’ £3,025 for 8 hrs, £4,240 for 1.5 days £5,335 for 2 days • UK VAT @ 20% where applicable• Includes up to 6 attendees, surcharge at £60 per day or £62.5 per 1.5 days per additional attendee + VAT• Modules can run across several days on-line, fitting into diaries better• Prices upon application for f2f courses taught abroad