Practical Data Analysis and ML for Petroleum Engineers 2025
Master Python, data analysis, and machine learning to solve real oil & gas problems — all in just 2 weeks, no coding experience required
Course details
Duration
:
6D
Lectures
:
6
Video
:
2h-3h
Level
:
Beginner
- Description
- FAQ
- Reviews
Practical Data Analysis and Machine Learning Using Python for Petroleum Engineers is a 2-week hands-on course designed for petroleum professionals to learn how to analyze, visualize, and model oil & gas data using Python — even with no coding experience. Participants will explore real datasets, build predictive models, classify rock types, and create interactive apps, gaining practical skills to apply data science and AI in upstream operations
Learn how to use Python, data analysis, and machine learning to solve real petroleum engineering challenges. In just two weeks, you’ll go from basics to building predictive models and interactive tools — no programming background needed. Perfect for engineers and geoscientists who want to apply data science in oil & gas
1. What is the objective of this course?
This course aims to equip petroleum engineers with essential and advanced skills in data analysis and machine learning using Python, through practical hands-on projects relevant to the petroleum industry.
2. What topics are covered in the course?
- Introduction to Python programming fundamentals
- Data analysis using Pandas and NumPy
- Data visualization with Matplotlib and Seaborn
- Building machine learning models with Scikit-learn
- Data preprocessing techniques
- Developing interactive applications with Streamlit
- Practical engineering projects and real-world applications
- Data analysis using Pandas and NumPy
- Data visualization with Matplotlib and Seaborn
- Building machine learning models with Scikit-learn
- Data preprocessing techniques
- Developing interactive applications with Streamlit
- Practical engineering projects and real-world applications
3. Who is the instructor of this course?
The course is delivered by Eng. Ahmed Abdelgawad, a data analysis and machine learning specialist for the petroleum industry with extensive programming experience in Python.
4. Who is this course for?
This course is designed for petroleum engineers, reservoir engineers, production engineers, and technical analysts seeking to enhance their skills in data-driven solutions and smart analytics using Python.
5. What is the course format and duration?
The course is available as a pre-recorded program equivalent to a two-week intensive workshop.
Each recorded session lasts between 2 to 3 hours.
Participants will have lifetime access to all training videos and can study at their own pace.
Each recorded session lasts between 2 to 3 hours.
Participants will have lifetime access to all training videos and can study at their own pace.
6. What software is used in this course?
- Anaconda (Integrated Development Environment)
- Visual Studio Code (Code Editor)
- Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn
🚨 For software, RES Team is confirming that we don't provide this software as we don't have any license; however, for learning purposes, you can download it from official sources on the internet without any responsibility on Reservoir Solutions. We can guide you in this regard but without any responsibility on us.
- Visual Studio Code (Code Editor)
- Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn
🚨 For software, RES Team is confirming that we don't provide this software as we don't have any license; however, for learning purposes, you can download it from official sources on the internet without any responsibility on Reservoir Solutions. We can guide you in this regard but without any responsibility on us.
7. Will I receive a certificate?
Yes, all participants will receive an official certificate of completion with a verifiable online identification ID.
8. What is the course price?
- Full course price: $75 USD.
- Previous course attendees receive a $10 discount (final price: $65 USD).
- Previous course attendees receive a $10 discount (final price: $65 USD).
9. How will I access the course content after purchase?
After payment, links to the training videos and all supporting materials will be sent to your email.
You will have lifetime access to all course content.
You will have lifetime access to all course content.
10. How can I communicate with the instructor?
You will be added to a private WhatsApp group dedicated to the course, where you can directly ask the instructor questions and receive support.
11. Is the course available live or can I switch to a live version later?
❌ No, this course is only available in a pre-recorded format. No live sessions are offered at this time.
12. Does the course include building real-world projects using Python?
Yes, the course involves executing practical projects such as building Streamlit applications and analyzing petroleum-related data sets.
13. Will I learn how to build machine learning models?
Yes, you will be trained to build machine learning models from scratch using Scikit-learn, supported by real examples and practice cases.
14. Do I need prior programming experience before taking this course?
No, the course starts from the basics of Python programming and gradually moves into more advanced topics, making it suitable even for complete beginners.
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The course fee is $75 USD. Participants who have attended any of our previous courses will receive a $10 discount, making the final price $65 USD.
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