Infographics & Data Analytics for Oil & Gas Reporting

What are the Goals?

• Common analytical techniques and representation methods using Info-graphics
• The ability to recognize the types of analysis are best suited to Oil and Gas companies
• Understand what is important in designing Info-graphics
• Learn how to plan the Info-graphic
• Develop their skills in using presentation software
• Learn the steps in creating Info-graphic
• Create graphs from the data
• Combine graphs and charts to effectively support the story-line
• Understand the best ways to test and promote their Info-graphic

Who is this Training Course for?

• Marketing Specialist
• Project Managers
• Public Relations Specialists
• Marketing Managers
• Campaign Managers
• Business Development Managers
• Operational Managers involved in the data analysis
• Financial Managers
• Risk Managers

Daily Agenda

Day One: Amongst a wide range of interesting topics, the following will be prioritized:

• Fundamental Statistics
• Info-graphics Techniques using Excel
• Basic of Oil and Gas Data Mining and Representation
• Frequency Analysis
• The Importance of Regression Analysis in Oil and Gas Companies
• Confidence Interval
• Hypothesis Testing

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 Two: Frequency and Time Series Analysis           

• Frequency of Occurrence
• Histograms
• Pareto Analysis
• How Excel Dashboard is Different from Info-graphics
• How to combine Excel and Power Point for Creating Info-graphics
• Time Series and Trend Analysis
• Estimation Theory and Its Relevant to Oil and Gas Data

Day Three: 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 Info-graphics
• Practical Creation of Info-graphic using real Data

Day Four: 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 Info-graphics

Day Five: The Info-graphics Creation and Critique

• Presenting Data Using Appropriate Reporting Style
• Practice Creating the Info-graphics and Its Presentation
• Focus on the Storytelling
• Overall Review of Concepts Learned and How they can be applied in practice