100 Influence courses in Liverpool

Portfolio, Programme, and Project Offices (P3O®) Foundation: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Foundation course is an interactive learning experience. The P3O Foundation-level content provides you with sufficient knowledge and understanding of the P3O guidance to interact effectively with, or act as an informed member of, an office within a P3O model. It enables you to successfully complete the associated P30 Foundation exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Foundation exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn Individuals certified at the P3O Foundation level will be able to: Define a high-level P3O model and its component offices List the component offices in a P3O model Differentiate between Portfolio, Programme, and Project Management List the key functions and services of a P3O List the reasons for establishing a P3O model Compare different types of P3O models List the factors that influence selection of the most appropriate P3O model for an organization Define the processes to implement or re-energize a P3O Benefits: Fast-track programme for those who want to achieve P3O Foundation qualification Practical case study and scenarios Attractive slides and course book Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why Have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to Operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques

Enhance patient care with our "Understanding Physiological Observations" course. Gain comprehensive knowledge and skills to accurately assess and interpret vital signs and other measurements.

Project Risk Management: In-House Training Have you been surprised by unplanned events during your projects? Are you and your project team frequently fighting fires? Well, you are not alone. Uncertainty exists in any project environment. While it's impossible to predict project outcomes with 100% certainty, you can influence the outcome, avoid potential risks, and be ready to respond to challenges that arise. In this course, you'll gain the proper knowledge needed to identify, assess, plan for, and monitor risk in your projects. You'll learn how to set up and implement risk management processes, helping you to minimize uncertainty and achieve more consistent, predictable outcomes as a result. What You Will Learn You'll learn how to: Demonstrate to others how the risk management processes in A Guide to the Project Management Body of Knowledge (PMBOK® Guide) apply to your project's environment, especially for high-risk projects Adapt these processes for a particular high-risk project team's operating principles Explain the importance of using risk management best practices at single and enterprise project levels Lead an initiative to implement risk management best practices in your project environment Foundation Concepts Risk-related definitions The risk management process High-risk projects and project failures Classical failures in implementing risk management Plan Risk Management Project risk management and governance Risk management planning for high-risk projects High-risk variations on a risk management plan Identify Risk Adapting the risk identification process for high-risk projects Recognizing risks spontaneously Confirming and structuring risk events for treatment Wrapping up risk identification for high-risk projects Perform Qualitative Risk Analysis Adapting qualitative risk analysis for high-risk projects Accelerating risk analysis Clearing risk action Wrapping up qualitative risk analysis for the next level Perform Quantitative Risk Analysis Adapting quantitative risk analysis for high-risk projects Ensuring effective risk analyses with data quality assessments Building a foundation for quantitative risk analysis Using discrete quantitative tools Using continuous quantitative tools Wrapping up quantitative risk analysis for high-risk projects Plan Risk Responses Adapting risk response planning for high-risk projects Optimizing active risk response strategies Leveraging contingencies for high project performance Wrapping up risk response planning for high-risk projects Implement Risk Responses Implementing Risk Responses Process Executing Risk Response Plans Tools and Techniques Best Practices Continuous Risk Management Monitor Risks Adapting risk monitoring for high-risk projects Optimizing risk plan maintenance Weaving risk reassessment into the project's progress Maintaining a continuous 'vigil' in high-risk project environments

Risk Management for IT Projects: In-House Training IT projects may have direct bottom-line impact on the organization, cost millions of dollars, cause organizational change and change the way the organization is perceived by clients. Many IT projects are notoriously hard to predict and are filled with risk. IT Risk Management takes a comprehensive look at IT project risk management using PMI's PMBOK® Guide Risk Management Model in the context of IT Project Life Cycle phases. The goal of this course is to arm the practitioner with a rigorous, common-sense approach to addressing uncertainty in projects. This approach includes the ability to influence project outcomes, avoid many potential project risks, and be ready to calmly and efficiently respond to unavoidable challenges. What you will Learn You'll learn how to: Describe the risk management process, using the PMBOK® Guide's standard models and terminology Discuss the potential barriers to managing risk effectively in IT project organizations Develop an effective risk management plan for IT projects Identify project risks using IT-specific, practical tools Analyze individual risk events and overall project risk using IT-specific, practical approaches Plan effective responses to IT-specific risk based on the results of risk analysis and integrate risk responses into project schedules and cost estimates Manage and control risk throughout the IT project life cycle Implement selected elements of IT project risk management on your next project Foundation Concepts Basic concepts and purpose Risk and project constraints Risk and corporate cultures Risk management and IT PLC standards Plan Risk Management for IT Projects Plan Risk management process Plan Risk management activities Design a standard template Assess the project-specific needs Tailor the template Produce a project-specific risk management plan Gain consensus and submit as part of overall project plan A risk management plan of IT projects Identify Risks for IT Projects Identify risk process overview Risk categories and examples Risk identification tools Risk events by project life-cycle phases Perform Risk Analysis for IT Projects Perform qualitative risk analysis overview Core qualitative tools for IT projects Auxiliary qualitative tools for cost and schedule estimates When to use quantitative analysis for IT projects Plan Risk Response for IT Projects Plan risk response overview Active risk response strategies for IT projects (Threat and Opportunity) Acceptance and contingency reserves Contingency planning for IT projects Plan risk responses for IT projects Implement Risk Response for IT Projects Implement Risk Responses Executing Risk Response Plans Techniques and Tools Used Continuous Risk Management Monitor Risks for IT Projects Monitor risks overview Monitor risks tips for IT projects Technical performance measurement systems Risk management implementation for IT projects

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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

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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

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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)