Wall Street Prep – Oil and Gas Modeling Course

Wall Street Prep – Oil and Gas Modeling Course
Description of Oil and Gas Modeling Course
Designed for finance professionals pursuing Oil & Gas careers, this course provides an in-depth look at the industry, including O&G accounting and financial statement analysis, O&G projection drivers and Net Asset Value modeling. Please note, this Oil and Gas Modeling course is sold as a PDF E-book and no video component.
Course Objective
At completion, trainees will have developed a complete Oil & Gas model using various supporting schedules.
Trainees develop an Oil & Gas (O&G) financial model completely from scratch, inputting historical data as well as macro– and company-specific assumptions to project out financial statements using step-by-step instruction on selecting, locating, and developing appropriate projection drivers. At completion, trainees will have developed a comprehensive O&G model using various supporting schedules. Trainees build O&G models using Excel templates and the exact way they would on the job.
What you will learn in Oil and Gas Modeling Course?

Industry Accounting & Financial Statement Analysis
Financial Statement Modeling
Net Asset Value (NAV) and DCF modeling
Accretion/dilution (M&A) modeling
Leveraged buyout (LBO) modeling
Excel mechanics and functionality for the O&G industry
Comparable company analysis
Comparable transaction analysis
Financial & valuation modeling best practices

Content:

Introduction to O&G accounting & financial statement analysisopen
Introduction to O&G financial modelingopen
Overview of O&G valuation modelingopen
Building an O&G Net Asset Valuation (NAV) modelopen
Building an O&G trading comps modelopen
Building an O&G transaction comps modelopen
Building an O&G M&A modeling

Who is Oil and Gas Modeling Course for?
This course does not assume a prior background in Oil & Gas Modeling. However, those who enroll should have an introductory knowledge of accounting (e.g. interaction of balance sheet, cash flow, and income statement) and proficiency in Excel.
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