Diploma in Integrated Oil & Gas Analytics Using Big Data: A full well Lifecycle Approach Mentor: Edvantage Learning
Diploma in Integrated Oil & Gas Analytics Using Big Data: A full well Lifecycle Approach
₹22500/ $0 ₹30000/ $0
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Course Objective:

This course equips professionals with practical knowledge of applying data science to real-world challenges in the oil and gas industry, from upstream, midstream and downstream sectors. Through hands-on experience with big data, participants will explore advanced analytics and forecasting methods tailored to industry-specific scenarios.

Why Join This Program?

• Specialized Diploma Certification: Earn a diploma recognized by a leading university to strengthen your career in energy analytics.

• Comprehensive Curriculum: Covers upstream, midstream, downstream, and market analytics with practical big data applications.

• Flexible Learning Modules: Convenient 8-week program tailored for working professionals with weekend-only classes.

• Lifetime Access: Revisit detailed course materials and recordings anytime for continuous learning.

• Placement Assistance: Receive career guidance and job placement support in global energy firms.

• One-on-One Mentorship: Get personalized guidance from experienced industry faculty.

• Capstone Project: Apply your knowledge to solve real-world challenges using industry-relevant datasets

 

Prerequisites:

·      Basic understanding of data science concepts and statistical methods.

·      Familiarity with programming languages like Python is recommended.

·      Knowledge of oil and gas industry fundamentals will be advantageous.

 

Detailed Course Agenda
Module 1: Introduction to Data Science in Oil and Gas

Module 2: Upstream Analytics

Module 3: Midstream Analytics

Module 4: Market Analytics

Module 5: Capstone Project

Module 6: Advanced Topics and Trends

 

FAQs

1. Who is this program for?

Professionals in oil and gas, data science enthusiasts, and engineers looking to

specialize in energy analytics.

2. What are the prerequisites?

Basic Python and data science knowledge; familiarity with oil and gas concepts is

beneficial but not mandatory.

3. What tools will be taught?

Python libraries for analytics, time-series forecasting, ML, and DL techniques.

4. Is placement assistance available?

Yes, the program includes dedicated career guidance and job placement support.

5. How is the course delivered?

Live online sessions with interactive discussions and practical demonstrations.

7. What certificate will I receive?

A recognized diploma from Lincoln Professional University upon course completion.

8. Can I access the content after the program?

Yes, you’ll have lifetime access to all course materials and recordings.