2559 Courses in Cardiff delivered Live Online

Overview The protocol is one of the most modern terms in terms of language but very old in terms of history as the word protocol is a development of the word of the conventions and understandings this is in the world of politics and at the international level, but within the field of business management has become the formulation of protocols is one of the important and necessary skills and very necessary for people who wish to They must take administrative duties. Through this course, we are going to introduce the rules and practices of gentle behaviour, the best practices for communication with others, and good reception, since all such related matters represent a large portion of our personality.

Lean Six Sigma Black Belt Certification Program: Virtual 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)

Management of Portfolios (MoP®) Practitioner: In-House Training In this MoP® Practitioner course, participants will have sufficient knowledge and understanding of how to apply and tailor the MoP guidance and to analyze portfolio data, documentation, and roles in relation to a given situation. MoP helps organizations ensure if the investments are done in the right, change initiatives, and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What you will Learn Define the business case to get senior management approval for portfolio management Plan the implementation of portfolio management Select and adapt MoP principles, practices, and techniques to suit different organizational environments Evaluate examples of MoP information including documents and role descriptions Analyze the solutions adopted in relation to a given scenario Introduction Overview MoP Portfolio Definition Portfolio Management Roles Portfolio Management Documents MoP Practitioner Assignments Portfolio Management Documents Portfolio Delivery How to Implement Practice Exam MoP Practitioner Exam (taken online, after the class has ended)

Solution-Focused Coaching Model Grow Coaching Model 0SKAR Coaching Model CLEAR Coaching Model AOR Coaching Model FUEL Coaching Model WOOP Coaching Model COACHING PROCEDURE FOR COACHING FOR CEOS: Pre-session check-in and questionnaire and assessment Mindset Analysis and introspection testing Psychological analysis Follow up for feedback and well-being and progress check-up calls Accountability Coaching Anxiety Coaching Target-driven coaching helpful for individuals with procrastination issues or issues tackling challenging career goals Leadership Coaching and Self-belief Coaching Organizational objective coaching Bring awareness to self-talk and unconscious biases 24/7 ACCESS TO YOUR COACH Coach available on Whatsapp, Phone, Zoom, and Face to Face   CEO Coaching helps coach the world’s best CEOs, executives, entrepreneurs, and companies to increase revenue and grow their business. Our coaches have extensive real-world experience in overcoming the challenges, inherent in entrepreneurship and executive leadership. Consult with a CEO coach today to receive a customized business plan that will enable you to achieve extraordinary results. We work with you by understanding the business issues and strategic imperatives of the enterprise. We then use a combination of 360 feedback (including Board members) and formal assessment tools to ensure we have a clear picture of you as an individual leader and the environment in which you need to create success. We assess your team and work with you to understand where you’ve got the capability and where the team may be vulnerable. https://relationshipsmdd.com/product/coaching-for-ceos-package/

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

Coaching, Workplace coaching, Floor walking coaching, Organisational coaching,

Overview Business modelling requires analysts to produce the quantitative models that top management uses to support their decision-making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions and robustly navigate the strategic negotiation landscape. This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Management of Risk (M_o_R®) Foundation: In-House Training This M_o_R® Foundation course prepares learners to demonstrate knowledge and comprehension of the four elements of the M_o_R framework: Principles, Approach, Processes, Embedding and Reviewing and how these elements support corporate governance. The M_o_R Foundation Course is also a prerequisite for the M_o_R Practitioner qualification. What you will Learn At the end of the M_o_R Foundation course, participants will gain competencies in and be able to: Describe the key characteristics of risk and the benefits of risk management List the eight M_o_R Principles List and describe the use of the key M_o_R Approach documents Create Probability and Impact scales Define and distinguish between risks and issues Create a Risk Register Create a Stakeholder map Identify the key roles in risk management Use the key techniques and describe specialisms in risk management Undertake the M_o_R Foundation examination Introduction Introduction to the M_o_R course What is a risk? What is risk management? Why is risk management so important? Basic risk definitions The development of knowledge about risk management Corporate governance and internal control Where and when should risk management be applied? M_o_R Principles The purpose of M_o_R principles Aligns with objectives Fits the context Engages stakeholders Provides clear guidance Informs decision-making Facilitates continual improvement Creates a supportive culture Achieves measurable value Risk management maturity models M_o_R Approach Relationship between the documents Risk management policy Risk management process guide Risk management strategy Risk register Issue register Risk response plan Risk improvement plan Risk communications plan M_o_R Process Common process barriers Identify contexts Identify the risks Assess estimate Assess evaluate Plan Implement Communication throughout the process M_o_R Perspectives Strategic perspective Program perspective Project perspective Operational perspective Risk Specialisms Business continuity management Incident and crisis management Health and Safety management Financial risk management Environmental risk management Reputational risk management Contract risk management

Overview Objectives Define brands and understand the opportunities and challenges facing them in highly competitive business landscapes Plan and craft a powerful brand positioning statement that reflects the brand's promise and the expectations of their most valued customers Build a strategic brand and track its growth and sustainability using researched processes Explore the elements of brand equity and the constituents of brand identity to build consistent and sustainable brands Identify various brand strategies to come up with sound actions aligned with the status of existing and new markets and products Master the process for conducting a full brand audit to evaluate brand performance and take remedial actions

Agile Release Plans: In-House Training While many Agile frameworks provide guidance on a focus on value and iterative development, many do not explain how that value is delivered to the customer. Release Plans have become an accepted and common practice to bridge the gap between the Product Vision and the Product Backlog (Agile requirements). In this course, you will be provided with an introduction to Agile and to Scrum, the most utilized Agile framework. You will also learn how the Vision, Roadmap, and Charter help to establish the Release Plan. The goal of this course is to equip you with the necessary knowledge, skills, and techniques to build Release Plans to ensure you deliver the most value to your customers. What you will Learn At the end of this program, you will be able to: Recall the Scrum framework elements (roles, events, and artifacts) Examine the benefits of Agile Develop a Product Vision and Roadmap Create an Agile Project Charter Prepare a Release Plan Write user stories to support a Product Backlog Foundation Concepts Introduction to Scrum Scrum Overview Agile Benefits Product Definition Business Goals Product Vision Product Roadmap Agile Project Charter Product Scope Project Risks Release Deadlines Sprint Durations Team Norms Release Planning Release Plan Process Select Stories and a Release Date Product Backlog User stories Building the product backlog Product Backlog Refinement Transitioning to the Scrum Team