Oil and Gas Technical training > Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PE1868 15 - 19 Jul 2024 Kuala Lumpur, Malaysia SGD 4,127 4,319 4,599 4,799
PE1868 15 - 19 Jul 2024 Kuala Lumpur, Malaysia USD 3,181 3,329 3,499 3,699

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!

Code

PE1868

Date

15 - 19 Jul 2024

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

4,127

Team of 7
Per Person*

4,319

Early Bird Fee
Per Person

4,599

Normal Fee
Per Person

4,799

Code

PE1868

Date

15 - 19 Jul 2024

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

3,181

Team of 7
Per Person*

3,329

Early Bird Fee
Per Person

3,499

Normal Fee
Per Person

3,699

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

About this Classroom Training

In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.

Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explores flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.

Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.

This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python’s applications, ready to drive impactful and data-driven initiatives in their professional journey.

This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30

  • Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.
  • Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.
  • Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.
  • Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.
  • Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.
  • All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.
  • Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.
  • IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.
  • Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.
  • Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.
  • Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.
  • Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.
  • Basic
  • Intermediate

The trainer will employ the ‘learning by doing’ method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.

Preparation ahead of the Class:

Participants are required to download the Python 3.x version software onto their laptops.

The instructions are provided below:

  1. Download Anaconda by visiting the Anaconda website (https://www.anaconda.com/products/distribution).
  2. Click on the “Download” button for the version that suits your operating system (Windows, macOS, Linux).
  3.  Select the Python 3.x version (e.g., Python 3.8) during the installation process.
  4. Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).

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

Learn what past participants have said about EnergyEdge training courses

Well done! We are very lucky to have you teaching on the Master of Business Analytics program at UWA. Thanks for your outstanding teaching, passion and motivation.

Principal Workforce Analytics, BHP.

Your expert trainer use of Python on a recent project was instrumental to the creation of a machine learning tool to support our operational activities. He demonstrated expertise in applying Python to this real-life project contributed to the success of the project.

Operations Support, Woodside.