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About this Training Course This 5 full-day training course looks at the setup of economic analysis cases, including the estimation of recoverable reserves, production profiles, commodity prices, and project costs - CAPEX, OPEX, taxes, royalties, transportation, depreciation, before-tax (BTAX) cash-flow, after-tax (ATAX) cash-flow and international fiscal regimes (production sharing agreement and concessionary system). The course begins from the basic required parameters of inflation, interest and time value of money. These concepts are then transformed into profitability indicators. Last but not the least, the profitability indicators are then used to make investment decisions. The emphasis of this course is to bridge the gap between theoretical concepts and their practical limitations. The participants will be able to appreciate the amount of information that they never thought of. Another emphasis of this course is also on the use of Excel's financial functions. This understanding is very critical when it comes to building economic cash-flow models. Over the years, we have seen that participants really struggle with using the Excel functions correctly and this leads to mistakes that can be easily avoided. In each session, multiple choice problems are provided to participants to reinforce their understanding of the concepts covered in the course. Many quick or tips not widely known, are also shared with the participants. The concepts covered in this course are not restricted to downstream, upstream or petrochemical projects. These concepts can be used to evaluate any type of investment under consideration. Participants will require access to computers/laptops with Excel to solve problems during the course. Training Objectives Upon completion of this course, participants will be able to fully understand the gas market dynamics and Investment Evaluation. They will be able to: Learn how to reduce exposure and mitigate risks in projects by handling uncertainty Clarify concepts such as time value of money, cash-flow models, capital budgeting, IRR, NPV, income producing investments Maximise the return on investments through good decision-making processes based on the commercial viability of projects Improve their decision process, investment and opportunity analysis Acquire the hands-on experience in building their own economic evaluation models and solving case study-based examples   Target Audience The following oil & gas company personnel will benefit from the knowledge shared in this course: Facilities and Planning engineers Project and procurement personnel Oil & gas engineers Geologists Financial Analysts Commercial managers Economists Government officials Business advisors Asset managers E&P managers Product and business development personnel   Course Level Basic or Foundation Training Methods     Organisational Impact     Trainer Your expert course leader is a globally recognised subject matter expert in petroleum/project economics and international gas market analysis. He is a recipient of the 2021 Society of Petroleum Engineers (SPE) International Management Award, an award that recognises individuals who make significant technical and professional contributions to the petroleum engineering profession and to the worldwide oil and gas industry. He has 40 years of diversified experience in petroleum engineering, reservoir engineering, project economics and decision analysis. He had been involved in evaluating multi-billion-dollar oil and gas field development, NGL, LNG, GTL, Aluminum smelter, refinery, petrochemical, power and production sharing projects. He has worked with major oil companies such as Saudi Aramco, ZADCO, Qatar Petroleum and companies in USA. He is a registered professional Engineer in the state of Colorado, USA. He is the author of six books: Petroleum Engineering Handbook for the Practicing Engineer, Vol. I and Vol. II, published by PennWell Books, Tulsa, Oklahoma, USA. Project Economics and Decision Analysis, Vol. I and Vol. II, published by PennWell Books, Tulsa, Oklahoma, USA. These books are used as textbooks in universities worldwide to teach petroleum economics to undergraduates and graduate students. Tip & Tricks in Excel based Financial Modeling, Vol. 1 & 2, published by Business Expert Press, New York, USA. He has also authored several papers in the Oil & Gas Journal, The Log Analyst, World Oil, SPE Journals, and Oil & Gas Financial Journal. He has delivered lectures in more than 25 countries around the globe. He has always received excellent feedback, as an expert presenter, from the participants of his courses. Daily daily_agenda     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

Enhance your ability to apply a range of techniques and tools to help improve management of emotions under stress, make more effective decisions in difficult scenarios and manage your energy more effectively in stressful situations.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for students who wish to use Microsoft Word to create and modify complex documents and use tools that allow them to customize those documents. Overview In this course, you will learn fundamental Word skills. You will: Organize content using tables and charts. Customize formats using styles and themes. Insert content using Quick Parts. Use templates to automate document formatting. Control the flow of a document. Simplify and manage long documents. Use mail merge to create letters, envelopes, and labels. After you master the basics of using Microsoft© Word such as creating, editing, and saving documents; navigating through a document; and printing, you're ready to move on to tackling the more advanced features. These features enable you to create complex and professional documents with a consistent look and feel. They also enable you to automate tedious tasks such as preparing a letter to send to every customer of your organization.Creating professional-looking documents can help you give your organization a competitive edge. Implementing time-saving features such as document templates and automated mailings helps your organization reduce expenses. Mastering these techniques will make you a valued employee in your organization.Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will alsoenable you to access and effectively utilize many web-based resources provided with your Microsoft 365 subscription. This includes brief coverage of key skills for using Word for theWeb and OneDrive©. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version.This course may be a useful component in your preparation for the Microsoft Word (Microsoft 365 Apps and Office 2019): Exam MO-100 and Microsoft Word Expert (Microsoft 365 Apps and Office 2019): Exam MO-101 certification exams. Lesson 1: Organizing Content Using Tables and Charts Topic A: Sort Table Data Topic B: Control Cell Layout Topic C: Perform Calculations in a Table Topic D: Create a Chart Topic E: Add an Excel Table to a Word Document Lesson 2: Customizing Formats Using Styles and Themes Topic A: Create and Modify Text Styles Topic B: Create Custom List or Table Styles Topic C: Apply Document Themes Lesson 3: Inserting Content Using Quick Parts Topic A: Insert Building Blocks Topic B: Create and Modify Building Blocks Topic C: Insert Fields Using Quick Parts Lesson 4: Using Templates to Automate Document Formatting Topic A: Create a Document Using a Template Topic B: Create and Modify a Template Topic C: Manage Templates with the Template Organizer Lesson 5: Controlling the Flow of a Document Topic A: Control Paragraph Flow Topic B: Insert Section Breaks Topic C: Insert Columns Topic D: Link Text Boxes to Control Text Flow Lesson 6: Managing Long Documents Topic A: Insert Blank and Cover Pages Topic B: Insert an Index Topic C: Insert a Table of Contents Topic D: Insert an Ancillary Table Topic E: Manage Outlines Topic F: Create a Master Document Lesson 7: Using Mail Merge to Create Letters, Envelopes, and Labels Topic A: Use Mail Merge Topic B: Merge Data for Envelopes and Label Additional course details: Nexus Humans Microsoft Word for Office 365 (Desktop or Online) (v1.1) Part 2 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Microsoft Word for Office 365 (Desktop or Online) (v1.1) Part 2 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

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