About this Training Course
The goal of data analytics is to gain understanding and intelligence from data which can be used to make improvements or changes in business. Analytics often involves studying past historical data for hidden valuable trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tool or scenario.
The aim of this 2 full-day course is to enable participants to understand the process behind Data Analytics or Data Science, equip them to find opportunities from their data to make better business decisions as well as apply the insights obtained from the data to identify potential gaps and develop improvements needed in the business. The applications are to help participants understand better where the possible use of data analytics can be applied in their respective field of work or discipline.
This course can also be offered through Virtual Instructor Led Training (VILT) format.
By the end of this course, participants will be able to:
- Describe the definition of Data Analytics, Data Science, Machine Learning & Artificial intelligence and the main difference between them
- Describe the use and purpose of data analytics and data science
- Describe the strengths and weakness of data analytics and visualization in a business setting
- Explain the importance of visualization, the first step to gain value from Data Analytics and what benefits visualization provides
- Propose how data visualization and its tools can be used to identify potential gaps and develop improvements in the business
- Describe how data analytics and visualisation can enhance decision making
- Walkthrough the steps on how to start building data analytics capabilities, namely data governance and visualization.
- Explain the technology buzzwords around Data Science, Artificial Intelligence and Big Data technology for better communication/discussion with technology vendors
This course will benefit:
- Managers
- Analysts
- Technologists
- Technology leaders
- Oil & Gas professionals who would like to find out more on what data analytics has to offer and how they can gain further insights from their existing data.
- Basic
- Foundation
System requirements for this course:
The system requirements are as follows:
- Excel 2013
- Windows 7 Enterprise Above
- 8GB Memory RAM, preferably 16 RAM
Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.
In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.
Learn what past participants have said about EnergyEdge training courses
This course helped me to understand how to analyze and present my data better. Thank you very much!
Assistant Energy Trader, GNPower Dinginin Ltd Co
I am satisfied with the training given by the trainer. It is well designed course with practical orientation
Technical Analyst, Petrofac Malaysia Limited
All discussed in this course will be used in my day-to-day tasks!
Settlements Analyst I, GNPower Dinginin Ltd Co
The training was useful, interesting and can be utilized in multiple ways in day-to-day work. The training was a good introduction and awareness of Data Analytics and Data Science.
Senior CMMS Engineer, Shell
Overall training is good, well presented and understood.
Document Controller, Repsol
This is good training!


