155 Influence courses in London

About this Training Course Petrophysics remains a vital component to many facets of the petroleum industry, from quantification of hydrocarbon reserves to developmental strategies to real-time decision making for reservoir navigation. Targeted at awareness to knowledge level, this course addresses the tenets of petrophysics and formation evaluation, using integrative perspective of multiple datasets, including geological, geophysical, and logging and core data. Significant worldwide case histories are included, as well as several exercises designed to provide hands-on experience. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By attending this course, the participants will be able to: Understand better the latest geological, geophysical, and logging/core technologies and their role in petrophysical analysis, formation evaluation, and reservoir characterization. Address the pros and cons of key datasets, with emphasis on need for integrative studies and calibration of datasets. Apply quick-look qualitative techniques as well as quantitative aspects to understand vital aspects such as volume of shale/clay, porosity, permeability, and water saturation determinations. Select tool combinations to resolve key issues and for specific applications. Assess uncertainty in petrophysical measurements and techniques and its influence on reserve estimation. Target Audience This course is recommended for development and exploration geologists, petrophysicists, log and core analysts, geophysicists, petroleum engineers, managers, and technical personnel. Course Level Intermediate Trainer Your expert course leader received his B.S. and M.S. degrees in Geology from the now University of Louisiana-Lafayette in 1989 and 1990 respectively, and his Ph.D. as a National Science Foundation fellow at Baylor University, Waco, Texas, in 1993. From 1994 - 1996, he studied planetary tectonics as a NASA-funded postdoctoral fellow at Southern Methodist University. In 1996, he returned to UL-Lafayette, where he was awarded in 1997 the Hensarling-Chapman Endowed Professorship in Geology. He began independent consulting activities in 1991, and in 2001, he left academia for full-time consulting for clients ranging from one-man shops to supermajors. He rejoined UL-Lafayette as an adjunct professor from 2011 - 2018. He is an active researcher, receiving several million dollars in grants from federal, state, and industry sources, presenting numerous talks, including a 2019 AAPG Levorsen award, and publishing on a diversity of geoscience topics, including a Grover E. Murray Best Published Paper award in 2017. He is co-author of the inaugural GCAGS/GCSSEPM Transactions Best Student Paper award in 2018. He served as the GCAGS Publisher since 2006 and in various GCAGS/GCSSEPM Transactions editing capacities since 2006, including the 2014 and 2017 - 2022 Editor (named Permanent Transactions Editor in 2017), and Managing Editor since 2011, receiving a GCAGS Distinguished Service Award in 2018. He served as the General Chair for GeoGulf 2020 (70th GCAGS/GCSSEPM Convention), the 1st hybrid geoscience conference in the world. He is a Past President of the Lafayette Geological Society and served as its Editor and Publisher from 2002 - 2018. In 2018, he founded the Willis School of Applied Geoscience, reformulating decades of industry-training experience to provide alternative opportunities for graduate-level education. In 2020, he received an Honorary Membership from GCSSEPM. He also joined the LSU faculty as an adjunct professor in 2020. In 2021, he co-founded the Society of Applied Geoscientists and Engineers, serving as its President, General Chair for the SAGE 2022 Convention & Exposition, and Vice-Chair for the Benghazi International Geoscience & Engineering Conference 2022 (BIGEC 2022). 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

Build confidence & capability and engage in meaningful dialogue about race.

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)

Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Course Overview This dynamic online Diploma in Digital Strategy & Planning course covering topics in digital communications, analytics, marketing automation and budget & strategy formulation giving you the skills, know-how, strategy and techniques to be that change. Here is power. The power to influence. To speak to billions of people. Specialization is for when you don’t just want to play the digital marketing game anymore, you want to drive it. To change it. the DMI SPECIALIST online Digital Strategy and Planning certification is perfect for you to become an online digital marketer. Become a member and connect to the industry and white-hot opportunities. Here is power. The power to influence. To speak to billions of people. What’s New? Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Learn every aspect of Digital Marketing Strategy across 9 modules of interactive learning to give you a highly relevant and deep knowledge of digital strategy, all wrapped up with the world’s most recognized digital marketing certification on completion. Program learning outcomes and content: WHAT WILL I LEARN? We give you the thinking and tools to become a leading player on the digital stage. Create powerful and dynamic digital strategy. See it manifest into real world, business-changing action. The modules are building blocks – of knowledge, of your vision, of the leading Certified Digital Marketing Specialist – Digital Strategy & Planning that is you. Here is what you need to know. Course Content: Introduction: We bring science to thought. We have created the 3i Framework which is designed to help you select the best digital strategy for your organisation and make it happen. The 3i is smart and rigorous. It’s transformative. And you shall be impressed. This module introduces this nifty piece of brainwork. Later modules expand on it. • The fundamental concepts underpinning the DMI 3i Methodology. • The how-to’s of business strategy development. • Key components in an effective digital strategy. • Strategic management, a long-sighted look at lasting, growing success Traditional Communications: In this model, we explore how the marketing classics still anchor any campaign – yet the contemporary digital campaign is a far more fantastical vessel. We look deep into how our tech is changing the consumer experience, and how we must respond. Digital Communications: We are living through extraordinary times. The opportunities are as big, sprawling and diverse as the World Wide Web. The challenge too is bigger. Markets are sophisticated and fragmented. Now, more than ever, thy most know thy consumer (and thy digital channels). Here we look at: the fundamentals of digital communications planning, improving ROI, understanding your audience. Where can they be found? How to engage them? Budgeting for your digital strategy and effective resources reviewing, measuring, and analysing your digital strategy. Digital Channels: Facebook, Linkedin, Instagram, Twitter, Snapchat and so on. They multiply and they proliferate. Yet in this great distraction and fragmentation, there is also great opportunity. This module covers: inbound and outbound strategies, cross media planning, the digital channel mix, and mobile marketing social media marketing. Content marketing that is relevant, timely and riveting the what, how and why of search engine marketing email marketing, affiliate marketing, and marketing automation display and video advertising best practice. Because we have eyes to see. Marketing Automation: Automation doesn’t beat inspiration but it sure makes a marketeer’s life easier and more exciting. Here is superpower, working quieting and perfectly under your orders, night and day. See how smart businesses are sharpening their edge with CRM software for better sales enablement, lead nurturing and way more. Budget & Resourcing: Money makes marketing go round. But value is where it’s at. This model goes deep on how to hit max ROI for any given budget. Then some consideration for that other precious resource, human talent. Explore: • Key factors to consider when planning a marketing budget. • Setting that marketing budget. • How to monitor and optimize a budget during campaign, execution. • The human element. • Recruit, train and keep top people. Big Data & Analytics: The Big Data & Analytics module will provide you with a broad understanding of Big Data, Advanced Analytics and Artificial Intelligence. You will learn the fundamental frameworks and understand how cutting-edge analytics tools are being used to help businesses succeed wildly. Digital Leadership: We are living in extraordinary times, which call for extraordinary leaders. That means you. You shall lead the transition from the remnants of traditional marketing and into the brave, new digital marketing world which you are helping to invent. And you shall lead with razor-sharp thought and strategy. You shall take your brand and your organisation to places yet undreamed of. Strategy Formulation & Plan: By now, you’ll have come a long way. You are (almost) ready to go forth, carve out new and unexplored neural pathways and digital markets. You are standing on the very edge of the leading-edge, and you are just about ready to spread those new digital super-wings and soar. But first, the ultimate strategy module; the ultimate in strategy. DURATION 8-10 Weeks WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

About this Training Course Managing process hazards in the hydrocarbon and chemical processing industries is a critical function that requires relevant knowledge and skills due to the risks involved. The Advanced Process Safety Engineering course will discuss the interrelation of the various techniques of process safety for analysing, with a particular emphasis on engineering design aspects, as well as how to manage process hazards in a safe and effective way and how they can potentially be avoided. In this 3 full-day advanced level course, the expert course leader will provide participants with insights and examples from his career and experience to show how their learning should be applied in real-life situations. Feedback and questioning is highly encouraged. Reference material and reports can be provided to give more information on any particular topic of interest. Individual and group exercises, tutored exercises and video case studies will be provided throughout the course to underpin the key learning points. Training Objectives Upon completion of this course, participants will acquire in-depth knowledge of: Risk management and 'As Low as Reasonably Practicable' (ALARP) principles. Different aspects of process design that influence process safety. Approach to 'inherently safer' design. Defence in depth using 'layers of protection'. Process for ensuring the technical integrity of safety-critical equipment. Hazards associated with process materials. Range of hazard identification and consequence modelling techniques. Causes and mitigation of human error. Reliability and availability of safety-critical protection equipment. Role of engineered safety-critical equipment and systems. Target Audience This course is suitable for industry professionals who need to acquire a comprehensive understanding of process safety. This includes those who are required to make managerial decisions where process safety is a key consideration, those who are moving into process safety positions or those who wish to broaden their process safety knowledge within their existing discipline. It is particularly suited for anyone involved in the design, operation, modification or maintenance of a major hazard installation, and will demonstrate a substantial understanding of process safety for those engaged in Continuous Professional Development or aiming for Chartered Engineer status. This course will benefit professionals such as: Operations and maintenance supervisors Process, mechanical and chemical engineers and technicians Design engineers, project engineers and HSE managers Control, automation and instrumentation engineers Course Level Advanced Trainer Your expert course leader has 50 years' experience in chemical and process safety engineering. His early career included 20 years in design and project engineering with various fine chemical and pharmaceutical companies where he designed chemical processes, specified plant equipment and selected materials for highly corrosive and toxic processes, often where textbook data was not available. This was followed by 10 years in offshore oil and gas design projects where he was responsible for setting up a Technical Safety group to change design safety practices in the aftermath of the 1988 Piper Alpha disaster. In recent years, he has been called upon to conduct various offshore and onshore incident investigations. His career has given him experience in project engineering, project management, process design and operations, safety engineering and risk management. He is a Fellow of the UK Institution of Chemical Engineers. He served on the Scottish Branch committee, and was elected chairman for a two-year term in 1991. He has also been chairman of the Safety and Reliability Society - North of Scotland Branch. He has delivered training courses in Process Hazard Analysis (HAZOP and HAZID), Process Safety Management, Hazard Awareness, Risk Assessment, Root Cause Analysis, Failure Modes & Effect Analysis and has lectured on Reliability Analysis to the M.Sc. course in Process Safety and Loss Prevention at Sheffield University. In addition to delivering training courses, he currently facilitates HAZOP / HAZID / LOPA studies and undertakes expert witness roles advising lawyers engaged in contractual disputes, usually involving the design or construction of chemical plants or Oil & Gas production facilities, or criminal prosecutions. 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

If you want to improve your or your team ability to lead a team successfully, feel free to check out my Training course focusing on the keys to success to effective Leadership.

This qualification will develop complex skills and knowledge necessary to work in a bookkeeping role or to progress to higher level accountancy roles or study.  Course Overview This qualification will develop complex skills and knowledge necessary to work in a bookkeeping role or to progress to higher level accountancy roles or study. Students completing this qualification will become competent in financial processes including accounting principles and concepts, advanced bookkeeping and preparing financial statements. They will also be introduced to business issues regarding payroll and value added tax (VAT). Learn enhanced skills and expertise in bookkeeping activities, critical for the smooth and efficient running of all finance departments. The jobs it can lead to: • Professional bookkeeper • Senior bookkeeper • Accounts manager • Ledger manager Entry requirements Students can start with any qualification depending on existing skills and experience. For the best chance of success, we recommend that students begin their studies with a good standard of English and maths. Course Content: Financial Accounting: Preparing Financial Statements: This unit provides students with the skills required to produce statements of profit or loss and statements for financial position for sole traders and partnerships, using a trial balance. Students will gain the double-entry bookkeeping skills needed to record financial transactions into an organisation’s accounts using a manual bookkeeping system. Learning outcomes: • Understand the accounting principles underlaying final accounts preparation. • Understand the principles of advanced double-entry bookkeeping. • Implement procedures for the acquisition and disposal of non-current assets. • Prepare and record depreciation calculations. • Record period end adjustments. • Produce and extend the trial balance. • Produce financial statements for sole traders and partnerships. • Interpret financial statements using profitability ratios. • Prepare accounting records from incomplete information Tax Processes for Businesses: This unit explores tax processes that influence the daily operations of businesses and is designed to develop students’ skills in understanding, preparing and submitting Value Added Tax (VAT) returns to HM Revenue & Customs. The unit provides students with the knowledge and skills needed to keep businesses, employers and clients compliant with laws and practices that apply to VAT and payroll. Learning outcomes: • Understand legislation requirements relating to VAT. • Calculate VAT. • Review and verify VAT returns. • Understand principals of payroll. • Report information within the organisation.

This interactive programme will use the topic of equity, diversity, and inclusion to illustrate the problem of unconscious bias and the practical solutions to overcome it. The programme will provide the opportunity for self-reflection, open discussion, and training on some of the softer skills to maximise objectivity in the workplace.

Join us for this immersive 90 minute in-person Chakra and Aura Workshop. This workshop will help you understand your energy system on a deeper level