1813 PLA courses in London

Dry needling course part 2, course is designed for all manual therapists including osteopaths, chiropractors, physiotherapist and sports therapists. To attend part 2 of the course you must have completed part 1.

Overview This course provides participants with the chance to focus on relevant project management tools and skills required to run successful projects in research and beyond. The course has been designed to help researchers and project managers enhance their project management skills in the context of their research and develop their knowledge of broader project management principles. The training course is highly participative and includes a peer learning session where participants will get the chance to tackle specific issues and challenges related to their research projects, find innovative solutions and share best practices.

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 course in Public Sector Accounting and Budgeting training seminar is designed to provide a comprehensive briefing on the fundamental principles and key functions in the continuously developing sphere of public sector finance. Non-financial public sector employees and managers are regularly required to both provide input to the budget process and respond to information presented in departmental financial reports.

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

Take your beauty therapy skills to the next level with our Comprehensive Aesthetic Specialist Training Package. This all-inclusive package combines six of our most sought-after VTCT Level 4 courses, providing you with the knowledge and practical experience to offer a wide range of advanced aesthetic treatments. Our package includes the following courses: Level 4 Award in Skin Needling: Learn the art of skin rejuvenation with this microneedling course, which is ever growing in the industry. Level 4 Award in Dermaplaning: Learn the art of dermaplaning, a popular exfoliating treatment that removes dead skin cells and peach fuzz, leaving the skin smooth and radiant. Level 4 Award in High-Intensity Focused Ultrasound (HIFU): Gain the skills to offer HIFU treatments, a non-invasive procedure that tightens and lifts the skin, reducing the appearance of wrinkles and improving skin elasticity. Level 4 Certificate in Radio Frequency: Master the principles and practice of radio frequency therapy, a treatment that stimulates collagen production to reduce the appearance of fine lines and loose skin. Level 4 Chemical Skin Peels: Learn to perform skin peeling treatments, which can improve the appearance of the skin by reducing the visibility of scars, wrinkles, and hyperpigmentation. Level 4 in Ultrasound: Add ultrasound therapy to your repertoire, a treatment that can promote cellular renewal and repair, tone muscles, increase blood circulation, and improve skin care product penetration. Laser Hair Removal: Become a fully qualified laser aesthetic technician, capable of providing high-quality, safe, and effective laser hair removal treatments. Benefits of the Package: This comprehensive package is designed to equip you with a broad range of skills, making you a versatile and highly sought-after professional in the aesthetics industry. By completing these courses, you will not only expand your treatment offerings but also enhance your career prospects, whether you're looking to work in a salon, spa, or start your own business. What's Included: Each course in this package includes the VTCT Level 4 Qualification, all certificate and examination fees, refreshments, a complimentary treatment for your model, a professional treatment kit, membership discounts, and access to online community support groups. Flexible Payment Options: We understand that investing in your future is a big decision. That's why we offer flexible payment options, allowing you to spread your training costs over 3, 6, 9, or 12 months interest-free. Secure your place in our Comprehensive Aesthetic Specialist Training Package today with a minimal deposit. Join Us: Embark on a transformative journey with the Cosmetic College. Enhance your skills, boost your career, and become a highly qualified aesthetic specialist. Contact us today to learn more about our Comprehensive Aesthetic Specialist Training Package.

Join a Climate Fresk Climate science workshop to learn about the causes and effects of climate change through a fun and collaborative experience.

Join a Biodiversity collage workshop to learn about the biodiversity crisis and how to tackle it.

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course is designed with the aim of showing the degree of integration necessary in developing an offshore petroleum discovery, from field appraisal to development. The 5 half-day VILT course gives a comprehensive account of the methodology, processes and techniques utilised in developing an offshore oil or gas discovery. Technically, integration of expected reservoir behavior, well planning and design, and facilities concepts and selection are exemplified through detailed case histories, group discussions and exercises. Commercial aspects related to overall project evaluation are also covered. Training Objectives Course participants will obtain a comprehensive understanding of key aspects of offshore field development, from appraisal through to development planning and leading up to sanction. The VILT course covers the three key elements: reservoirs, wells and facilities, and covers the integration of these with commercial aspects, and the required management aspects, including uncertainty and risk. Target Audience This VILT course is designed for project managers, field development and planning engineers, asset managers, petroleum engineers, reservoir engineers as well as field geoscientists and managers who have an interest in or are involved in field development feasibility and planning. In particular, this VILT course would be of interest to managers leading multidisciplinary and diverse functional teams. Course Level Basic or Foundation Training Methods 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. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Trainer 1: Your first expert course leader is a specialist in reservoir engineering, field development planning and petroleum management. Having worked for over 40 years in the petroleum industry, his most recent full-time position was Chief Operating Officer and Project Director for AED Oil and East Puffin (2007-09) for the Puffin offshore development, Timor Sea. Prior to his academic career (2001-2006), commencing in 2001 as head of the new School of Petroleum Engineering and Management at the UA, he worked for 16 years for BHP Petroleum (now BHP Billiton), most recently as Chief Reservoir Engineer for their worldwide operations. Other positions with BHP Billiton involved mainly technical and project management, and general management positions, including member of the BHP Board. He was project manager (feasibility) for two FPSO projects, the Skua and Griffin area fields, offshore Australia. He was also the Technical Manager for the Dai Hung project, offshore Vietnam where first oil was achieved in just 18 months from sanction. Before that time, he worked for Shell International (8 years) in the Netherlands, including two years as Senior Lecturer Reservoir Engineering at Shell's training centre and in Australia, seconded to Woodside Energy, with a key role in Australia's largest capital project (at the time), the Northwest Shelf Gas development. He started his career in Calgary, Canada, first with Hudson's Bay Oil and Gas and subsequently with the US consulting company, Scientific Software Corporation. He holds a BSc degree in Physics from the University of British Columbia and a MS degree in Nuclear Engineering from Stanford University. He has been an active member of the Society of Petroleum Engineers, including Director for the Asia-Pacific region (1996-98) and as a member of the Board. He was an SPE Distinguished Lecturer during 2001-02 and a PESA Distinguished Lecturer during 2002. He has lectured at many institutions and was a visiting professor at Stanford University in 2000. He has published over 50 papers on both technical and managerial topics. His professional interests are in optimal planning and project management of offshore petroleum discoveries. His primary research interests are in the area of special core analysis and the development of predictive models for reservoir characterisation. Trainer 2: Your other course leader is currently an independent consultant and trainer after 37 years in the upstream petroleum industry. His previous roles included Chief Geologist for GALP Energy, Consultant/ Head of Exploration for Qatar Petroleum, Technical/ Asset Manager for SASOL, and various technical and technical management roles in BHP Billiton Petroleum and Chevron. He managed/ executed many projects in diverse locations: West Grimes gas field development - California; Port Arguello heavy oil development - offshore California; exploration & development projects - Nigeria; Tengiz field early development, Korolev appraisal - Kazakhstan; Nkossa field development, Moho/ Bilondo exploration - offshore Congo; PNG divestment, Bayu-Undan LNG development - Australia; Ohanet acquisition, appraisal & development - Algeria; Pande development, Pande/ Temane gas plant expansion & near field exploration - Mozambique; Pre-Khuff (HP/HT) exploration, multiple blocks & operators - Qatar; Coral/ Mamba appraisal - Mozambique; Blocks 14/32 exploration & development - Angola; exploration & appraisal - onshore & offshore Brazil. He has an MSc in Geophysics from Stanford, an MBA from St. Mary's College of California, and a BSc in Geology (Honors) from Western Illinois University. He is a member of SEG, AAPG, SPE, PESGB, and PESA and is a Fellow of the Energy Institute (UK). His professional interests centre around deploying this extensive and international experience base to add value to future projects via training and consultancy, and to provide the leadership needed to execute, deliver, and ensure profitability of new projects. 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