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
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 instructors, with expertise in the field and trained in modern teaching methods adapted to the specific needs of learners from the professional world.
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
