560 Courses

About this Training Course This separately bookable 3 full-day course is not designed to skill Oil & Gas engineers to be accountants, but to give the participants the confidence and ability to communicate with accountants and finance managers and to improve their own financial decision making. For technical professionals, a high level of single subject matter expertise is no longer sufficient for superior management performance. Oil & Gas technical professionals who wish to succeed in the resources industry are required to develop skills beyond their core functional knowledge. An understanding of financial information and management, and an awareness of the economic theory that drives value creation, are an integral part of the managers required suite of skills. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Workshop A: Finance for Non-Finance for Oil & Gas Professionals Attend this industry specific course and benefit from the following: Demystify financial jargon and fully interpret financial statements Understand Balance Sheets and Profit & Loss statements of Oil & Gas companies Discover the crucial distinction between cash flow and profit Understand how to make correct investment decisions using Net present Value and Internal Rate of Return Interpret oil and gas company financial reports using ratio analysis Learn the difference between cash costs and full costing of energy products Learn how to manage working capital for increased shareholder value Workshop B: Petroleum Fiscal Regimes and Applied Finance for Oil & Gas Industry Professionals Attend this advanced Training course to enhance your financial acumen from the following: Build and compare cash flow based models of both production sharing contract projects and royalty regime projects Gain an awareness of the different valuation methods for producing properties and undeveloped acreage Learn the industry specific accounting issues that apply when interpreting oil and gas company financial statements Understand how the physical characteristics of energy assets (e.g. reserves, reservoir quality) are translated into project valuations Learn how the investment analysts value oil and gas stocks and make buy/sell recommendations Target Audience This course is specifically designed for those with a non-finance background training from the Oil & Gas sector and requires only basic mathematical ability as a pre-requisite. It is presented in a manner that reduces the jargon to basic principles and applies them to numerous real-life examples. This course has been researched and developed for Managers, Superintendents, Supervisors, Engineers, Planners, Lawyers, Marketers, Team Leaders and Project Coordinators in the technical and non-technical departments in the Oil and Gas industry. Course Level Basic or Foundation Trainer Your expert course leader has presented over 300 courses and seminars in financial management. He began his career as a graduate in the Corporate Treasury of WMC Ltd having completed a degree in Applied Mathematics and Geology at Monash University. After five years with WMC, he pursued an MBA in finance and accounting at Cornell University in New York. He later gained a PhD in energy policy from the University of Melbourne. He worked for WMC Ltd in Perth as a Senior Financial Analyst in the Minerals Division and subsequently as an Energy Analyst in the Petroleum Division. In April 1997, he established an independent consultancy business providing advice to companies such as Woodside, Shell and Japan Australia LNG (MIMI). He spent many years as a consultant and commercial manager in the North West Shelf Gas project in Western Australia. Since 2006, he has been an Adjunct Fellow at the Macquarie University Applied Finance Centre where he teaches courses in valuation, financial statement modelling, and resources industry investment analysis. His background in geology and mathematics allows him to empathise with those who seek an understanding of finance but are approaching the learning experience with a technical mind. He receives consistently high ratings for his breadth of knowledge of the subject matter. He presents in a lively interactive style using real life examples and cases. 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

Microsoft Active Directory course description A thorough understanding of this system is essential for anyone managing enterprise MS networks. Essential theory is complimented with a high level of hands on practice allowing delegates to observe the idiosyncrasies of Active Directory and Group Policy at first hand. Delegates learn the fundamental theory of AD and progress onto building a multi-domain network in the classroom. The course includes troubleshooting methods, and essential maintenance procedures. This course is designed to teach you the skills needed for day to day management of these technologies. What will you learn Install AD on multiple PCs. Use the tools to create and manage objects. Create appropriate group policies to restrict selected user's desktops and network access. Install DNS to support Active Directory without loosing Internet Connectivity. Maintain and troubleshoot AD problems Backup Active Directory. Microsoft Active Directory course details Who will benefit: Technical staff working with AD based networks. Prerequisites: Supporting Windows server. Duration 3 days Microsoft Active Directory course contents Introduction to Active Directory Network authentication methods, Active Directory defined, AD naming conventions, network management with AD, AD structures: Domains, Organisational Units, Forests & Trees, Sites, The Global Catalogue. Windows 2003 new features, installing AD. Hands on Installing an AD network. Windows overview Management methods Server management tools, installing the additional tools, Terminal Server: Administration mode, Administrator accounts in AD, Local Security Policy. Hands on Install the management tools, Management using Terminal Services. Creating & Managing Objects (a quick look) AD management tools, AD users and computers, Creating & managing OUs, User Accounts and groups, controlling access to AD objects, moving objects, Publishing resources, locating objects in AD, delegating authority. Hands on Creating a control OU structure and delegating authority. Introduction to Group Policies What are Group Policies? Where Group Policy data is stored, security, Group Policy flow. Hands on Implementing Group Policies Working with Group Policies Local security templates, administrative templates, scripts, folder redirection, software deployment. Hands on Scripts, redirecting the start menu, creating a secure, robust desktop environment. Implementing DNS DNS basics, troubleshooting, implementing DNS zones. Hands on Building a unified DNS solution. Maintaining and managing the AD database AD support tools, database internal structure, replication, replication tools, Single Operations Masters, tools for maintenance, maintenance techniques, Backing up AD, Directory Services restore mode, NTDSUtil, Authoritative & non-authoritative restoration, rebuilding. Hands on NTDSUtil.

This half day course is designed for new treasurers, general trustees and management committee members or staff who work in smaller organisations to understand the basics of how to manage the finances within a voluntary or community organisation. It covers all the essential issues ranging from drawing up a budget to ensuring that the organisation has sound financial procedures.

QA Level 2 Award In Food Safety In Catering (RQF) Face to Face: Full day course Virtual Classroom: Spread over 3 sessions of 2½ hr duration Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely Recommended by HSE and Environmental Health Officers (EHO's) Course Contents: The Importance of Food Safety Food Safety Laws Legal Responsibilities of Food Handlers Types of Contamination and the Associated Risks Bacteriology Food Poisoning Foodborne Illnesses An Introduction to Hazard Analysis and Critical Control Points (HACCP) Personal Hygiene Work Flow, Work Surfaces and Equipment Cleaning and Disinfection Waste Disposal Pest Control Safe Food Handling Practices including Time and Temperature Controls Preparation Cooking and Reheating Chilling Cooling Thawing Hot holding Displaying food Core temperatures Food Preservation Storage Stock Control Procedures Benefits of this course: Businesses have a duty to their customers to produce food that is safe for consumption. There are one million cases of food poisoning in the UK each year. More than 6,000 are admitted to hospital. In 2014/2015, businesses in Chesterfield were issued 344 written enforcement notices. Derby received 1,116. Doing our Ofqual regulated, nationally accredited course ensures that nothing of importance is left out. EU and UK regulations state that all food handlers must receive appropriate training in food safety practices relevant to their duties. The Food Standards Agency says that 'Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely’. Our QA Level 2 Award in Food Safety in Catering (RQF) is a nationally accredited qualification especially suitable for people working in, or planning to work in, the food retail industry, and complies with the training regulations. Accredited, Ofqual regulated qualification Our Food Safety in Catering training course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can be rest assured that your Food safety in Catering certificate fulfils the legal requirements and is a very good way to make sure your employees are trained in Food Safety. The Ofqual Register number for this course is 603/2594/X

Business Process Modeling This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

Enhance your financial skills in the oil & gas industry with EnergyEdge's courses on finance for non-finance professionals and petroleum fiscal regimes.

About this Training Course The 3-day hands-on petroleum economics training course provides a comprehensive overview of the practices of exploration and development petroleum economics and its application in valuing oil and gas assets to aid corporate decisions. Participants will gain a thorough understanding of the principles of economic analysis as well as practical instruction in analytical techniques used in the industry. The participants will learn how to construct economic models, to include basic fiscal terms, production and cost profiles and project timing. The resulting model will provide insights of how the various inputs affect value. Example exercises will be used throughout the course. Training Objectives Upon completion of this course, participants will be able to: Understand and construct petroleum industry cash flow projections Calculate, understand and know how to apply economic indicators Learn and apply risk analysis to exploration and production investments Evaluate and model fiscal/PSC terms of countries worldwide Target Audience The following oil & gas company personnel will benefit from the knowledge shared in this course: Geologists Explorationists Reservoir Engineers Project Accountants Contract Negotiators Financial Analysts New Venture Planners Economists Course Level Basic or Foundation Intermediate Trainer Your expert trainer has over 40 years' experience as a petroleum economist in the upstream oil and gas industry. He has presented over 230 oil and gas industry short courses worldwide on petroleum economics, risk, production sharing contracts (PSC) and fiscal analysis. In over 120 international oil industry consulting assignments, he has advised companies and governments in the Asia Pacific region on petroleum PSC and fiscal terms. He has prepared many independent valuations of petroleum properties and companies for acquisition and sale, as well as economics research reports on the oil and gas industry and including commercial support for oil field operations and investments worldwide. He has been involved in projects on petroleum royalties, design of petroleum fiscal terms, divestment of petroleum assets, and economic evaluation of assets and discoveries since the early 1990s to date. He has been working on training, consultancy, research and also advisory works in many countries including USA, UK, Denmark, Switzerland, Australia, New Zealand, Indonesia, India, Iran, Malaysia, Thailand, Vietnam, Brunei, Egypt, Libya, and South Africa. 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

Business Process Modeling: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

10 Soft Skills You Need 1 Day Training in Dumfries