Virtual Classroom

Introduction to Data Science & Analytics for O&G Professionals - Remote training

DABASIC-EN-D

Who should attend?

  • This course aims at introducing data science and analytics, which aims at extracting knowledge from raw data to build data-driven models. It will introduce the workflow involving data exploration, preprocessing and machine learning modeling.
Public :
  • This training has been designed for O&G professionals getting involves in Data Analytics and Machine Learning projects.

Level :Awareness

Prerequisite :
  • No pre-requisistes are necessary to follow this course.

Course Content

  • INTRODUCTION TO DATA SCIENCE & ANALYTICS

      • Concept of data science.
      • Data analytics.
  • DIFFERENT LEVELS FOR DATA ANALYTICS

      • Descriptive.
      • Diagnostic.
      • Predictive.
      • Prescriptive.
      • Cognitive (AI).
  • DATA ANALYTICS PRINCIPLES

      • Data statistics (univariate, bivariate, distributions).
      • Data ranking (correlation matrix, principal component analysis, fuzzy logic).
  • DATA ANALYTICS WORKFLOW

      • Exploratory data analysis.
      • Data preprocessing.
      • Machine learning models.
  • SOME O&G APPLICATIONS

Learning Objectives

  • Upon completion of the course, participants will:
  • Understand the data science and analytics objectives (data science, analytics and machine learning).

Ways & Means

  • Participative lecturing.
  • Case studies.
  • Team work/mini-project.

More

Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.

To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding. Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com