Introduction to Data Science & Analytics for O&G Professionals
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
Attendees will be able to implement the following skills:
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
IFPT Account
