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Professional Certificate in

Oil and Gas Analytics Course

With our Oil and Gas Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
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HR Analytics course - 360digitmg
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Oil and Gas Analytics uses large amounts of data and needs active Data Analytics and Machine Learning tools and techniques to process and store data to make profitable decisions. Predictive Analytics gives a chance to operators and managers to use data in accelerating innovation and reducing risk.

Oil and Gas Analytics

Program Cost

INR 12,000/-

Overview of Oil and Gas Analytics Course

The oil and Gas industry is going through a transformation with the advancement of automation, remote instrumentation, and the Internet of Things. With Predictive Analytics organizations can safely monitor operations through remote sensors and optimize field operations. For offshore companies, Predictive Analytics is a boon and they are using advanced analytics and submersible platforms to improve production and increase output. The 360DigiTMG course on Oil and Gas Analytics, will introduce you to all the latest technological advancements that will help you strategize and provide insights for the profit of the organization.

Oil and Gas Analytics Course Training Learning Outcomes

Machine Learning and Big Data Analytics have become game-changer in the Oil and Gas Analytics domain. This Certification Program is a sui generis attempt to blend machine learning solutions for traditional Oil and Gas industry problems. Specifically designed to suit the Oil and Gas professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to Oil and Gas industry data. This Oil and Gas Analytics course is meant for professionals from the Oil and Gas domain as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase productivity and profits in decisions. Understanding the applications of Data Science, Machine Learning to Oil and Gas Industry will be the prime objective of this content-rich program.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for upstream, midstream and downstream activities
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding

Block Your Time

hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Python
Programming Videos

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Math, Science Graduates
  • Graduates Planning to Apply for Petroleum Industry Jobs

Oil and Gas Analytics Course Modules

  • Oil and Gas Extraction
  • Oil and Gas Companies - Market Analysis
  • Oil and Gas Analytics - Data
  • Oil and Gas Data Analytics - Applications
  • Stages of Oil and Gas Analytics
  • Data Mining in Oil and Gas Analytics
  • EDA in Oil and Gas Analytics
  • Data Preprocessing in Oil and Gas Analytics
  • Data Mining in Oil and Gas Analytics
  • K-means Clustering in Oil and Gas Analytics
  • Use case: Segmentation of different oil companies' share prices based on oil price fluctuations using K-means Clustering
  • K-Nearest Neighbours in Oil and Gas Analytics
  • Use case: Lith prediction during the oil reservoir drilling process using K-Nearest Neighbour Classification
  • Decision Tree Model in Oil and Gas Analytics
  • Use case: Estimation of clusters per stage in oil and gas hydraulic fracture drilling technique using decision tree algorithm
  • Regression Model in Oil and Gas Analytics
  • Use case: Analysing US oil and gas share market using Linear Regression algorithm
  • Multi-Layer Perceptron Model in Oil and Gas Analytics
  • Use case: Predicting S-wave velocity based on well logs using Artificial Neural Networks
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    Job Placements in Oil and Gas Analytics Fields
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    Unlimited Mock Interview and Quiz Session
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    Hands-on Experience in Live Projects
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