Data Science for the Industry
500 USD
This industry-focused course provides oil & gas professionals, engineers, analysts, and aspiring data scientists with the technical skills and domain knowledge to harness the power of data. From subsurface analysis and drilling optimization to predictive maintenance and production forecasting, you'll learn to apply Python, machine learning, and business intelligence tools in a real-world oil & gas setting.
You’ll work on actual industry datasets and use case scenarios. The course combines domain expertise with technical training in a way that bridges the gap between field experience and digital transformation.
- Key Tools & Topics:
- Python, Pandas, NumPy
- SQL for Oilfield Data
- Time Series Analysis for Production Forecasting
- Machine Learning for Equipment Failure Prediction
- Dashboards with Power BI / Tableau
- Oil & Gas Data Types (SCADA, Well Logs, Sensors)
- What You'll Gain:
- Domain-Specific Data Science Skills
- Real-World Oil & Gas Projects
- Lifetime Access + Certification
- Instructor Mentorship
- Job-Ready Portfolio
Duration
3 days
Students
59
Accreditation
CPD
intermediate
Prior experience required
Learn how to turn raw oilfield data into actionable insights. Whether you’re working in upstream, midstream, or downstream, this course equips you with skills to reduce downtime, optimize production, and make data-driven decisions in the energy sector.
"I’m a petroleum engineer, and this course helped me modernize my skillset and bring automation to my reports." — Engr. Ahmed Jan
"Highly relevant and practical. Great balance of oil & gas use cases and data science tools." — Samira Rehman
I am a dedicated and passionate Data Science instructor with a strong foundation in mathematics, statistics, and computer science. With several years of experience in both academic and practical fields, I specialize in transforming complex data into actionable insights. My teaching approach combines real-world case studies, project-based learning, and the latest tools in data analytics to ensure that students not only grasp theoretical concepts but are also industry-ready. Over the years, I have trained students from diverse academic and professional backgrounds, helping them transition into roles such as data analysts, machine learning engineers, and AI practitioners. I emphasize hands-on experience in tools and languages such as Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Power BI, and Tableau. I also cover essential concepts like data wrangling, data visualization, statistical modeling, machine learning algorithms, and deployment of models.
Upon successful completion, you’ll receive a Certified Data Scientist for Oil & Gas Industry certificate, verifiable online and shareable on LinkedIn.
