1619 Courses in London

PRINCE2® Practitioner : In-House Training Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach for project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is also used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefitting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guide to provide a robust project methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to take participants to the next level of understanding and application of the PRINCE2® methodology and to prepare them to sit the Practitioner exam. Using APMG provided sample exam papers and additional project case studies, participants will learn how to apply what they learned during the Foundation course and how to approach the OTE Practitioner exam, which is aimed at testing their ability to apply PRINCE2® in an actual project environment simulated via a case study provided as part of the exam. What you will Learn You'll learn how to: Tailor and apply the principles, themes, process structure, techniques, and management products of PRINCE2® within a work environment, via carefully selected case studies Define the PRINCE2® 6th Edition method at the Practitioner level Prepare for and take the Practitioner exam Getting Started Introductions Course structure Course goals and objectives Tailoring PRINCE2® Tailoring PRINCE2® Adopting PRINCE2® Tailoring PRINCE2® to suit different projects Adopting PRINCE2® in an organizational environment Controlled Start Recap management products Study business case and risk Study activities and responsibilities in: Starting up a project Initiating a project Controlled Progress Study management products and risk Study activities and responsibilities in: Getting work done Monitoring and reporting Issues and escalation Controlled Close Study Activities and Responsibilities in Closing a Project Activities and roles Roles and Responsibilities Principles Exercise Product-basedPlanning Producing a product breakdown structure (PBS) Producing a product flow diagram (PFD) Linking product breakdown structures and product flow diagrams to product descriptions

Gain the knowledge and skills to manage ear wax buildup with our "Management of Ear Wax Training" course. Ideal for healthcare professionals.

About this Training Course Process Hazard Assessment using the HAZOP Technique is an intensely participative course that will both explain the key facets of the HAZOP technique as well as provide ample opportunities for participants to practice and become familiar with the technique using generic and real-life examples. HAZOP Team Leader Training is an intensely participative course that will develop participants already familiar with the HAZOP technique, the skills, knowledge and attributes of a HAZOP Team Leader. An in-depth syndicate exercise will provide the opportunity to lead a HAZOP team (consisting of other participants) and to be observed performing the role for constructive feedback. This 5 full-day course has been reviewed and approved by the Institution of Chemical Engineers (IChemE). IChemE is the global professional membership organisation for chemical, biochemical and process engineers and other professionals involved in the chemical, process and bioprocess industries. Their knowledge of professional standards, close involvement with industry, education and regulators, and their expertise as a leading global training provider, means they are uniquely positioned to independently assess and approve training courses and professional development programmes across the world. Training Objectives Process Hazard Assessment using the HAZOP Technique By the end of this course, participants will be able to: Understand the basic HAZOP Technique Fulfill roles as competent HAZOP Team Members Understand the role of HAZOP in risk management Understand how Hazard Identification can predict accidents and incidents Understand how HAZOP complements other hazard identification tool HAZOP Team Leader Training By the end of this course, participants will be able to: Understand the role of the HAZOP Team Leader Practise the role in a classroom environment Provide feedback to participants on their performance as HAZOP Team Leaders Appreciate the leadership skills required as HAZOP Team Leader Plan, organise, manage and successfully undertake a Hazard and Operability study Target Audience This course will benefit: All key persons in the organisation, who by their discipline and/or position, are likely to be called on to initiate, participate or review a HAZOP study. All who have responsibility for the management and supervision of process & safety including but not limited to Senior Management, Plant Managers, Process and Maintenance Engineers (all disciplines), Line Supervisors, Team Leaders, Safety Specialists, and Process Training Instructors. Course Level Basic or Foundation 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

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)

Microsoft Project Blue Belt® 2016 This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

Overview This Private Banking & Wealth Management training course is designed to give you the skills to acquire, protect/preserve, enjoy and pass on wealth. As a result, it is specifically designed for those working in the industry as well as those with an interest in investments and markets.

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

Microsoft Project Blue Belt® 2016: In-House Training This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

Better Business Cases™ Foundation Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the foundation course is to enable participants to work effectively with a team to develop a strong business case in their work environment. What You Will Learn At the end of this program, you will be able to: Describe the philosophy and the underlying rationale of the Five Case Model Identify different types of business case, their purpose, who is responsible for them Recognize when the different types are required in the development of a spending proposal Develop the business case in relation to other recognized and recommended best practices for programme and project management Overview of the Five Case Model Five key components of a business case and the order in which they are presented Three key stages in the development of a spending proposal Definition of a programme / project and the key differences between programmes and projects Purpose of a Business Justification Case (BJC) and in what circumstances it should be considered Purpose of a Strategic Outline Case (SOC) Purpose of an Outline Business Case (OBC) Purpose of a Full Business Case (FBC) Relationship between policies, strategies, programmes, and projects and their deliverables Developing the Strategic Case Purpose and core content of a Strategic Case Purpose of SMART robust spending objectives and the key objectives for spend: economy, efficiency, effectiveness, re-procurement, and statutory or regulatory compliance Four main categories of benefits criteria and the parties involved in their development Three key categories of risk Purpose of identifying constraints and dependencies Difference between direct and indirect benefits Developing the Economic Case Purpose and core content of an Economic Case Purpose of critical success factors and the key critical success factors based upon the Five Case Model Purpose of the long list options and how to generate options and undertake SWOT analysis Minimum of four short-list options, how they are derived, and what they should include (Reference Project / Public Sector Comparator [PSC]) Difference between the preferred way forward and the preferred option Purpose, objectives, key participants, and outputs of Workshop Stage 2 - identifying and assessing the options Rules that should be followed for the treatment of costs and benefits Key differences between economic appraisals and financial appraisals Factors considered when selecting the preferred option Developing the Commercial Case Purpose and core content of a Commercial Case Guiding principles when apportioning risk between the contractual parties Purpose of payment mechanisms Purpose of Step 9 in the development framework: Contracting for the deal Developing the Financial Case Purpose and core content of a Financial Case The financial statements required for all projects The possible impacts to consider Developing the Management Case Purpose and core content of a Management Case Purpose of a programme / project management strategy, framework, and plan Purpose of a change management strategy, framework, and plan Purpose of a benefits realization strategy, framework, and register / plan Purpose of a risk management strategy, framework and register / plan Purpose of a post programme / project evaluation strategy, framework, and plan