Last updated: 2025-03-17

Analytics and Machine Learning Applications in Oil Industry

Master essential skills in Python, SQL, data analytics, machine learning, and MLOps. Gain hands-on experience and practical knowledge to effectively apply advanced data science techniques in the oil industry.

Day#1: Python & SQL Basics
• Data Structure.
• Functions and Classes.
• Object Oriented Programming.
• Scripting.
• Common Python Libraries.
• SQL Expressions.
• Accessing databases with Python.

2.Day#2: Data Analytics in Python:
• Exploratory Data Analysis.
• Inferential Statistical Analysis.
• Visualization and Data Representation.
• Text Mining.


3.Day#3: Machine Learning with Python:
• Introduction to ML Applications in Petroleum Engineering.
• Supervised ML.
• Unsupervised ML.

4.Day#4: Deep Learning:
• Neural Networks.
• Computer Vision Applications.
• Large Language Models in Petroleum Engineering.


5. Day#5: MLOps:
• Experiment tracking.
• Orchestration.
• Deployment with Docker and Cloud.
• Monitoring.