49 Financial Analysis courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for This course is intended for intermediate business and requirements analysts who are looking to improve their business case development and presentation skills. This course is also a great fit for project managers and product owners who work closely with business analysts or who perform some form of business case work themselves. Overview Understand the role of the business analyst within the business case process Understand the main professional associations and standards that support business analysts in the industry Discuss the benefits of business case creation Explore how to define the business need Describe the role of the business analyst in supporting the enterprise to determine how to optimally invest in the right project initiatives Explain how to identify stakeholders and the significance to the pre-project activities Discuss the importance of analyzing the enterprise Describe and explore the activities performed to assess the current business environment Explain how a business analyst describes a ?future? state environment including how to identify gaps in enterprise capabilities Present and explore how to define the scope of a solution Describe the activities performed and techniques used to determine viable solution options Explore various techniques for evaluating solution options including feasibility and risk analysis Thoroughly understand the purpose of conducting a feasibility assessment Discuss and practice a number of business analysis techniques that support the business case process Explore the components of a business case Describe how the business case supports decision makers in making go/no-go decisions Demonstrate how to assemble the output from pre-project activities into a well-structured business case Present techniques for presenting business cases to top level managers and obtaining buy-in Discuss methods for preparing for challenges during business case delivery Students learn the steps to effective business case development and support your strategic business recommendations with sound budgeting and financial back-up. The one course you need to make high-impact recommendations and receive full management support for your ideas. Introduction Module Learning Objectives What is Business Analysis Polling Question International Institute of Business Analysis BABOK© Guide Components Project Management Institute Business Analysis for Practitioners: A Practice Guide BABOK© Guide Knowledge Areas Benefits of Business Analysis Polling Question A Business Analyst can Influence Project Success Factors Challenges of Business Analysis Polling Question Purpose of a Business Case Exercise 1a: What Should a Business Case Include Define the Business Case Elements What to Look Out For Who is Involved Exercise 1b: Review Business Case Outline Module Learning Objectives Pre-Project Activities & the Business Analyst Module Learning Objectives The Definition of a Business Analyst The Role of a Business Analyst Responsibilities of a BA BA Role vs. PM Role Business Analysis vs. Systems Analysis Business Analysis Competencies Polling Question Business Analyst Role and Stakeholders Exercise 2a: Review the Case Study What is a Stakeholder? The Importance of Stakeholders Stakeholder Identification Tips for Identifying Stakeholders Other Stakeholder Tips Stakeholder Identification/Analysis Exercise 2b: Identify Roles and Responsibilities Stakeholder Map Stakeholder Matrix & Onion Diagrams A Stakeholder Map Onion Diagram Exercise 2c: Why do we Need to Understand the Enterprise? Why Study the Enterprise? What is Enterprise Architecture? What is Strategy Analysis? About Strategy Analysis Purpose of Strategy Analysis When to Perform Strategy Analysis Strategic Planning Module Summary The Needs Assessment Process Module Learning Objectives Business Need Defined Define Business Need The Needs Assessment Process Problem or Opportunity Exercise 3a: Problem/Opportunity Identification Understanding Why Situation Statements Business Need and Current State Determine the Stakeholders Polling Question Goals and Objectives Polling Question Exercise 3b: Give 3 Examples of Business Goals Define Business Need Techniques Exercise 3c: Identify the Business Need Definition of Strategy Analysis When Business Strategy is not Driving Project Definition Typical Project Profile The Executive Paradox Solution to the Paradox Exercise 3d: Describe 3 Outcomes You Would Expect from the Case Study The Four ?Ares? Understand How to Create a Business Model Business Model Example Exercise 3e: Create a Business Model The Business Case Approach Financial and Strategic Measurement Tools Module Summary Determining the Required Capabilities & Defining Solution Scope Module Learning Objectives Business Need and Current State Purpose of Analyzing the Current State Analyzing Current Capabilities and Process Capabilities Defined Techniques for Analyzing the Current State Define the Future State Techniques for Defining the Future State Assess Capability Gaps Stakeholders Involved when Reviewing Capability Gaps Discussion: Assessing New Capabilities Defining Solution Scope Determining Scope Boundary How to Define Solution Scope Defining Solution Scope Project Scope and Product Scope Scope Modeling Techniques Used to Define Scope Define Scope Boundaries Modeling Scope: Context Diagram Exercise 4a: Create a Context Diagram from the Case Study Communicating Solution Scope to Stakeholders Stakeholders Participating in Scope Activities Exercise 4b: Discuss Managing Expectations Module Summary Assessing Feasibility & Proposing Solution Options Module Learning Objectives Financial Analysis Purpose of Financial Analysis Costs versus Benefits Financial Models Timing for Assessing Financial Benefits Risk Assessing Risks Risk Process Exercise 5a: Identifying Risks Risk Analysis Capturing and Categorizing Risks Risk Strategies Tolerance for Risk Determining Solution Options Solution Option Process Determining and Analyzing Solution Options Brainstorming Conducting an Outcomes Focused Brainstorming Session Stakeholders Involved in Determining Solution Options Exercise 5b: Determining Solution Options Feasibility Analysis Discussion: Ranking Solution Options Discussion: Recommending the Most Viable Option Exercise 5c: Assess the Most Viable Options Solution Approach Definition Exercise 5d: Review the Business Case Templates Module Summary Packaging & Presenting the Business Case Module Learning Objectives Circumventing a Business Case Documenting the Business Case Value of the Business Case Process Business Case Components Business Case Techniques Build a Convincing Business Case Discussion: Identifying Decision Criteria Exercise 6a: Supporting a Go/No Go Decision Packaging the Business Case Planning Business Case Delivery Discussion: Planning Stakeholder Buy-in Information and Communication Needs in the Business Case Process Presenting your Business Case Exercise 6b: Anticipating and Responding to Challenges Module Summary Course Wrap Up Course Summary Questions Additional Resources Thank You Additional course details: Nexus Humans BA03 - Writing Effective Business Cases 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 BA03 - Writing Effective Business Cases 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 Those who need to understand the financial implications of their day-to-day decisions to increase the profitability and performance of their business. This course is suitable for managers with little or no financial knowledge. Overview Understanding of financial accounts and reports The ability to use and understanding of financial concepts Analytical skills to interpret financial results using ratios Ability to manage budgets more effectively This course shows how to interpret key financial statements highlighting the questions and areas that matter. It identifies warning signals that managers need to be aware of and shows how to understand key performance indicators to drive profitability. The course will also cover the essentials of budgeting and forecasting as well as addressing key financial terms such as goodwill and accruals & prepayments. Delegates will learn how to appraise capital projects with confidence, allowing them to make the best decisions for their business. Course Outline The basics of finance: How companies are financially structured Accrual v cash accounting The Business Cycle: understand how money flows in a business How businesses are financed: debt and equity Business objectives: using financial data to achieve business targets Key Financial Statements: Income Statement Balance Sheet Cash Flow Statement Key Financial Analysis Ratios Profitability: profit margins, EBIT & EBITDA, operational gearing Return on Investment: ROCE, ROA Leverage: financial gearing & interest cover Liquidity: current & quick ratios Cash Flow: working capital requirement Working capital management Cash flow management Key financial terms ? goodwill, accruals & prepayments, depreciation and amortization Cost analysis, control and reduction Capex v Opex Effective Budgeting and Forecasting to control the business Management Accounts and undertaking variance analysis Improving margins and sales in your business Break even analysis Capital Investment techniques ? NPV, IRR and discounted cash flows Asset Valuation Additional course details: Nexus Humans Finance for Non-Finance Managers (2 Day) 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 Finance for Non-Finance Managers (2 Day) 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.

This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

An insightful, enjoyable and experiential programme to help you analyse data and information and make a balanced decision based upon sound commercial reasoning. It will enable you to identify options, make decisions and take actions based on a thorough analysis combined with instinct and intuition to make a positive effect on profitability. This programme will help you: Identify ways to analyse data and sort relevant from irrelevant information Develop analytical and numerate thinking, and consider the financial implications of a decision Make decisions based on sound commercial reasoning - a mix of intuition and analysis Select from a range of tools to analyse a situation and apply these effectively Understand how costs and profits are calculated Use tried-and-tested techniques to manage and control your budgets Appreciate the fundamentals of financial analysis Focus on the bottom line Identify the basics of capital investment appraisal for your business Evaluate results and seek opportunities for improvement to your business 1 The commercial environment What do shareholders and investors want? What do managers want? Profit v non-profit organisations Investor expectations 2 Financial and non-financial information Risk and reward considerations Drivers of commercial decisions 3 Running a business A practical exercise to bring financial statements to life Different stakeholder interests in a business The impact and consequences of decisions on financial statements 4 Where do I make a difference to the organisation? How can I contribute to an improved business performance? Key performance indicators - measuring the right things A 'balanced scorecard' approach - it's not all about money! 5 A 'balanced scorecard' approach Analysing and reviewing my contribution to the business direction What is the current focus of my commercial decisions? Developing the business in the right way - getting the balance right! Where should/could it be in the future? Do my decisions support the overall vision and strategy? 6 Making commercial decisions Left-brain and right-brain thinking Convergent and divergent thinking Analysis and instinct Interactive case study exercise - emotional and rational decisions Reflection - what is my style of making decisions 7 Let's consider the customer! Identifying target markets Differentiating propositions and products Customer service considerations Marketing considerations and initiatives Pricing strategies and considerations 8 Strategic analysis The external environment The internal environment LEPEST analysis SWOT analysis Forecasting Group activity - analysing markets and the competition How do these improve your decisions? 9 Comparing performance Analysing key financial ratios Ways to compare performance and results Break-even analysis 10 Profit and loss accounts and budgeting Managing income and expenditure The budgeting process How does this link to the profit and loss account? Managing and controlling a cost centre/budget The role of the finance department Different ways of budgeting Incremental budgeting Zero-based budgeting 11 Understanding the balance sheet Purpose of balance sheets Understanding and navigating the content What does a balance sheet tell you? How do you affect your balance sheet? Links to the profit and loss account A practical team exercise that brings financial statements to life 12 Business decisions exercise How does this improve your decisions? A practical exercise to apply new knowledge and bring commercial thinking to to life The impact and consequences of decisions on financial statements 13 Working capital Why is this important? The importance of keeping cash flowing Business decisions that affect cash Calculating profit 14 Capital investment appraisal Capex v Opex Payback Return on investment The future value of money The concept of hurdle rate 15 Lessons learned and action planning So what? Recap and consolidation of learning The decisions that I need to consider Actions to achieve my plan

Learn the fundamentals of Oil and Gas modeling following best practices. This course will break down the important concepts of modeling allowing you to implement them in the Oil and Gas industry.

Are you looking to enter the dynamic world of real estate? Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics. At the end of the course, you'll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector. On this course, you will… Become familiar with the players, structure, general terminology and overall needs of Real Estate. Learn what is Real Estate and why it is different from other asset classes Get to grips with the overall size and structure of the UK Real Estate Market Learn and analyse the links between the different parts of the property market Understand who works in the Real Estate Market, their qualifications and their job descriptions Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc… Learn how to read a real estate market report Understand how current affairs, politics and economics affects Real Estate Investment Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector Who will benefit from this course: Graduates or undergraduates studying economics, finance. Professionals working in Marketing or Accounting teams within Real Estate firms. APC students. Anyone interested in Real Estate. School leavers/A-Level Students looking to gain an understanding of Real Estate. Non cognate students who wish to transfer into Real Estate/Finance careers. Course Outline Module 1: What is and why buy Real Estate? The property Market The Size and Structure of the UK property market The impact of Real Estate in the Economy Module 2: The Real Estate Market System The Space Market The Asset Market The Development Market Module 3: How to value Real Estate An Introduction to Financial Mathematics The difference between Price, Value and Worth Property Yield Conventional Valuation Methods Module 4: How to read a Real Estate Market Report Property Market Indicators: Stock Indicators Property Market Indicators: Investment Indicators Module 5: Who works in Real Estate? The build Environment by Cobalt Recruitment Rea; Estate Agents Examples of Real Estate Market Agents CVs Real Estate Network

Getting Started MSc Finance and Management is a globally recognised finance qualification suitable for experienced finance professionals who like to kick start their career in finance. The programme is designed to provide students with advanced knowledge and skills in financial management, enhancing their career prospects in the finance industry. UCLAN awards the degree and is suitable for those who have completed a relevant postgraduate diploma. The Master's in Finance and Management is a 9-month Top-Up programme focused solely on the dissertation module. Students must undertake independent research, demonstrating their ability to apply advanced research techniques to a finance-related topic. This module carries 60 credits and enables students to showcase their knowledge, understanding, and research skills in financial management. Throughout the programme, students receive support from experienced academics and industry professionals who provide guidance and feedback on their research projects. The programme is delivered through online webinars and independent study, allowing students to balance their studies with work and personal commitments. The MSc Finance and Management Top Up is awarded and delivered by the University of Central Lancashire through distance learning. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Major Project No examinations Entry Requirements Qualifi Level 7 Diploma in Accounting and Finance Applicants should normally have a good first degree or equivalent and be working in or have recently worked within the accounting and finance arena. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Progression Upon completion of the degree, graduates will possess the necessary skills and knowledge to pursue various career opportunities in finance, including roles in financial analysis, investment banking, risk management, corporate finance and financial planning. Additionally, the programme serves as a solid foundation for further study or research in finance. Upon completion, students will have produced an original research piece demonstrating expertise in financial investigation. This provides a significant advantage in the job market, particularly for roles requiring advanced research skills or knowledge of financial investigation techniques. Graduates of the MSc Finance and Management programme are well-prepared to pursue careers in law enforcement, regulatory agencies, financial services, and consulting. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MSc Finance and Management Top Up Programme Structure Dissertation Module Delivery Methods The MSc Finance and Management Top Up is awarded and delivered by the University of Central Lancashire through distance learning. The University of Central Lancashire (UCLan) offers a range of distance learning options for students who require the flexibility to study remotely. These options include online courses, blended learning, and supported distance learning. UCLan's distance learning courses are designed to provide students with the same high-quality education as on-campus courses, with access to resources such as video lectures, online discussion forums, and interactive assessments. The University also provides a range of support services for distance learning students, including academic support, technical support, and access to the University's library and online resources. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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