An Interactive 10-Day Training Course

Data Analytics and Financial Analysis for Oil and Gas

Data Analytics and Financial Analysis for Oil and Gas

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Modules

This training course is split into two modules:

Module I - Infographics & Data Analytics for Oil & Gas Reporting

Module II - Financial Analysis, Modelling & Forecasting

Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Module 1 and 2 back-to-back as a 2-week training course.

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

Training Outline

Module 1: Infographics & Data Analytics for Oil & Gas Reporting
DAY 1: Introduction and Descriptive Statistics                   
  • What is Data Analysis?
  • A reminder of elementary statistics and compensations for small sample sizes
  • A Quick-start Tutorial for Excel
  • Describing Data Sets using Statistics
  • Representing Data Sets Graphically
  • How to create Info-graphic in Excel
  • How Info-graphics Data Presentation compares to the Traditional Methods
DAY 2: Frequency and Time Series Analysis           
  • Frequency of Occurrence
  • Histograms
  • Pareto Analysis
  • How Excel Dashboard is Different from Infographics
  • How to combine Excel and Power Point for Creating Infographics
  • Time Series and Trend Analysis
  • Estimation Theory and Its Relevant to Oil and Gas Data
DAY 3: Scenario Analysis, Confidence and Six Sigma
  • Modelling Scenario and their Application in Oil and Gas Companies
  • Interactive Spreadsheets
  • Confidence Intervals
  • Usefulness of Control Chart for Oil and Gas Companies
  • Error Bars
  • Online Tools for Creating Infographics
  • Practical Creation of Infographic using real Data
DAY 4: Regression Analysis Equations and System Modeling 
  • Simple Regression Analysis
  • Polynomial Curve Fits
  • Describing Data Using Equations
  • Prediction
  • The Applications of Regression to Oil and Gas Companies
  • Analysis Of Variance (ANOVA)
  • Comparing Different Types of Infographics
DAY 5: The Infographics Creation and Critique
  • Presenting Data Using Appropriate Reporting Style
  • Practice Creating the Infographics and Its Presentation
  • Focus on the Storytelling
  • Overall Review of Concepts Learned and How they can be applied in practice
Module 2: Financial Analysis, Modelling & Forecasting
DAY 6: The Competitive Challenge in the 21st Century
  • Identifying and Managing Stakeholder Needs
  • Business Models and How They are Disrupted
  • An Integrated Approach to Risk Management
  • The Essentials of Business Performance Management

Fundamentals of Financial Modelling

  • Financial Statements Basics
  • Fundamentals of Financial Modelling
DAY 7: Mastering Financial Analysis
  • Building a Financial Ratio Database in Excel
  • Practical Modelling: The Cost-Volume-Profit Relationship
  • Measuring and Improving Return On Investment
  • Measuring and Improving Asset Management Efficiency
  • Measuring and Managing Capital Structure and Risk
  • Practical Modelling: The Effect of Gearing on Shareholders’ Earnings
DAY 8: Improving Financial Forecasting
  • Practical Modelling: Using Excel Statistical Analysis Tools
  • Avoiding Common Forecasting Problems
  • Using Moving Averages to Analyse Time Series Data
  • Using Linear Regression for Sales Trend Analysis
  • Using Excel Solver to Minimise Forecasting Error
  • Using Regression and Correlation to Forecast Costs
  • Practical Modelling: Cash Flow Forecasting
DAY 9: Financial Models to Improve Investment Decision-making 
  • Principles of Capital Investment Decision-making
  • Sources and Cost of Business Finance
  • Practical Modelling: Using Excel Discounted Cash Flow Tools
  • Practical Modelling: Capital Investment Analysis
  • Essentials of Business Valuation
  • Practical Modelling: Business Valuation Based on Shareholder Value Added
DAY 10: Managing Risk and Uncertainty
  • Identifying and Analysing Business Risk
  • Probability Based Approach to Decision-making
  • Monte Carlo Simulation
  • Sensitivity Analysis and “what-if” Forecasting
  • Identifying the Key Drivers of Financial Performance
  • Practical Modelling: Key Driver “what-if” Forecast
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

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Sessions in international locations

Venue: London - UK
Fee: US $11,900
Date: 08-19 Dec 2025
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Venue: London - UK
Fee: US $11,900
Date: 07-18 Dec 2026
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