About this Training Course The prospect maturation process, from a lead to a drillable prospect, is at the heart of the exploration business. This 5 full day course will cover all aspects of the prospect maturation process: play understanding in the context of regional geological understanding, detailed prospect evaluation; realistic risk & volume assessment consistent with the play understanding and prospect details, and an introduction to exploration economics. Throughout the course, there is a strong focus on pragmatic (geo)logical approach for assessing those aspects that are input parameters for a meaningful assessment of prospect risks and volumes, with emphasis on a balanced integration of contributions from different sub-surface disciplines. Many examples from basins from around the world are used to illustrate how traps, reservoirs, seals and charge occur in different basin settings. Specifics topics that will be discussed include the following: The statistical fundamentals for risk and volume assessment will be presented, with practical exercises for understanding the results of a risk & volume assessment as they are displayed in expectation curves. The difference between risk and uncertainty. A full discussion of the essential requirements for a working petroleum system: Trap, reservoir, seal and charge. Examples of how traps, reservoirs, seals and charge work in different basin types around the globe and in Australian basins. Exercises and guidelines for estimating uncertainties for prospect parameters, including advice for deciding which distribution type to use, and how to constrain those distributions for meaningful uncertainty ranges (setting minimum most likely and maximum values). Particular emphasis will be given to estimating hydrocarbon column lengths with their associated uncertainties in undrilled prospects. Prospects and plays: The value of play maps and how these should be used for assessment of prospect risks and for ranking of prospects within a play. Calculating volume ranges for prospects. Calculating volumes for groups of prospects; how to add risked prospect volumes for a statistically correct representation of the volume promise of a portfolio of prospects. Geophysical evidence: Incorporating geophysical evidence (DHIs) consistently and realistically in a risk assessment. An understandable and geology-based workflow, consistent with Bayes theorem, will be presented. Exploration economics. Training Objectives What this course will cover in 5 days: This course describes the various aspects that need to be considered in the prospect maturation process, including: Play development in the context of a sound understanding of the regional geology Detailed prospect evaluation and understanding of the critical aspects of traps, reservoirs, seals and charge Examples from plays and prospects in different basin settings from around the globe Realistic and pragmatic risk and volume assessment, based on the geological understanding of plays and prospects An introduction to exploration economics Examples of plays, oil and gas fields and prospects from basins from around the world, including the Far East, will be given. Target Audience This course is designed primarily for Geoscientists in exploration who would like to improve their expertise of the prospect maturation process and risk and volume assessment. The course has proven to be of value for explorers in the early phase of their career, seasoned explorers and team leaders. It will also benefit staff from disciplines working closely with exploration staff including Prospect Portfolio Analysts, Petrophysicists, Geophysicists and Reservoir Engineers. Course Level Intermediate Training Methods At the end of the course, the participants will have a good understanding of the essentials for realistic risk and volume assessments of exploration prospects. The course should allow participants to produce well-considered and realistic assessments for prospects they may be working on, and to understand and constructively challenge risk and volume assessments of colleagues and/ or partners/ competitors. Each topic is introduced by a lecture, and learning is re-inforced by practical exercises and discussions. Hand-out materials in paper and/or electronic format will be provided. Time will be made available to discuss aspects of prospects that may be brought in by course participants. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, AÃnsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) 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
Unlock Your Potential as a Learning & Skills Teacher with Our Level 5 Course This qualification is for those looking to teach in Further Education and Skills Sector (FES), usually in settings where students are aged 16 and above whether that is in FE colleges (whether general or specialist), independent training providers (ITPs), Adult Community Learning (ACL) providers or offender learning. In their daily work, A learning & Skills teacher interacts with other teachers and FES professionals and students of different ages, abilities, backgrounds, and ambitions. Also interacting with employers and stakeholders. Teachers who are specialists in a particular technical or vocational subject, sector or occupation will typically maintain close working relationships with others working in their industry/sector and keep their own knowledge and skills up to date. Learn about the Cavity Training Learning & Skills Teacher Course This qualification allows candidates to learn, develop and practice the skills required to prepare each of their students for progression to/or within employment or to further study. To deliver to a diverse group of students, including those with special educational needs. Fees This course can be completed as an government funded apprenticeship, through Cavity Training, or as a privately funded course for £4500. You can either pay as a lump sum or alternatively, you can split into 12 instalments. Entry requirements Apprentices without level 2 English and maths will need to achieve this level prior to taking the End-Point Assessment. Structure To achieve the qualification the learner must compile a portfolio of evidence during the on-program period of the apprenticeship, which will typically contain 15 discrete pieces of evidence. Two pieces of evidence should be records of observations of the apprentice teaching, with the accompanying lesson plan, and support materials for the observed lesson. The lesson observations must have been carried out by an experienced teaching practitioner in the capacity of a manager. With a final professional discussion. Knowledge Our course is delivered via live training webinars with specialist tutors. Skills and Behaviours You will be appointed a designated Learning & Skills Tutor, who will coach you through your qualification and complete regular assessments with you to support you to complete your qualification. You will have weekly contact from your Tutor. How we compare with our competitors? Don't just take our word for it, here is what our staff think Bridget I did my course years ago. It was classroom based one night per week. I think I would prefer to be more ‘hands on’ like it is now. Cavity really are a great company to work for. I truly believe that there expertise will ensure the next generation are amazing! Gina I did mine over an apprenticeship but the company my employer used wasn’t great and I didn’t get much support. Although I passed I can only imagine the length that Cavity have gone to to ensure that the students feel supported. As an employee, its super! Enquire Today
Tailored Beginners Introductory Package Just for You! Level 7 Training Courses Dermal fillers in aesthetics injectables are widely recognized as one of the most trusted non-surgical facial aesthetic procedures. They remain the preferred choice for many clients, especially as an effective solution for addressing wrinkles. Our Beginner Aesthetic Practitioners have widely embraced this particular package as an essential offering for well over a decade. Foundation Dermal Filler Training Course Muscle Relaxation Upper face 3 area Botox HA Skin Boosters Training Course PRP Face & Hair Training Course Microneedling Training Course (DermaPen) Online training courses are available for the theoretical components of beginner-level Dermal Filler and Muscle Relaxation. To gain practical experience, participation in the hands-on sessions on real-models is recommended. This course Theory & Practice will help you to understand: We will cover all you need to know in order for you to treat your patients confidently and safely. The Theory & Practice will cover: Anatomy and physiology of Human Body Anti-Ageing Characteristic of the ideal skin booster Product Use & introduction Treatment Method and Care Contraindication Complication management Pre & Post-treatment advices Using Products like Toskani, Skinecos, Jalupro etc. Utilize products specifically recommended for the middle and lower parts of the face, along with other sensitive areas like the neck, décolletage, hands, or knees. Real models will be provided by us for Practical Hands-on Experience assisted an guided by our Professional Expert Trainers Entry requirements Level – Beauty Therapist Dental Nurse Physiotherapist Registered Medical professional Holds at least 6 months experience with needles (micro-needling, microblading, tattooing, vaccinations, phlebotomy and more) or any medical experience. Additional information ATTENDANCE ONLINE (Theory), IN CLINIC (Practice) FOUNDATION ONE -2- ONE TRAINING Beginner in Aesthetic Online Video Presentation for Theory Practical with Hands-On in Clinic on Real Model Dermal Fillers & Skin Booster INSURED TRAINING COURSE ALL COURSES ARE LEVEL 7CPD CERTIFICATES Notice! (We don’t charge VAT)
Level 4 Endorsed Diploma - International Trade Qualification Complete all 15 modules and 3 assessments, from a choice of 7 to earn a Level 4 Diploma in International Trade.
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)
This qualification is ideal for anyone who prepares and serves food, as it provides learners with a basic understanding of nutrition and the requirements of special diets to enable the planning and provision of well-balanced meals that will have a positive impact on health.
Managing people and teams is consistently the biggest challenge raised by new managers (and even many experienced managers). This 3 hour course is aimed at introducing new and existing supervisors and managers to key supervisory skills, allowing them to develop their competence as supervisors. The course covers: Understanding your role as a supervisor SRA obligations and competence expectations Setting expectations and effective delegation Monitoring progress and quality Managing performance in difficult situations Top tips for impactful feedback By the end of this course participants will have had an opportunity to consider their current skills; develop new skills; and think about further development needs. Target Audience This online course is aimed at managers, team leaders and other supervisors. Please note that this course does NOT meet the LAA requirements as a Supervisor Course. If you need a Legal Aid Supervisor course, then please check out our Supervision & Managing Performance Course. Resources Course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Matthew Howgate, Consultant, DG Legal Matt is a non-practising solicitor who has considerable experience in regulatory issues and advising on complex issues of compliance and ethics. He is also an expert in data protection, UK GDPR and on the civil legal aid scheme. Matthew is a lead trainer on and co-developed the LAPG Certificate in Practice Management (a training programme for legal managers and law firm owners) as well as regularly providing training on legal aid Supervision, costs maximisation, data protection and security and on general SRA compliance.
Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.