Number of hours
- Lectures 9.0
- Projects -
- Tutorials 6.0
- Internship -
- Laboratory works -
- Written tests 1.0
ECTS
ECTS 1.5
Goal(s)
Students will learn about data preparation methods for machine learning, knowledge engineering and text mining, and how to integrate them into data science projects.
Students will know how to manage their data, sort it, and organize it efficiently. They will be able to present relevant visualizations of their data and results. They will have acquired the behavior of a responsible and ethical data engineer.
Responsible(s)
Content(s)
B0 Introduction: Data Science Project Management
Steering data science projects, based on CRISP-DM
B1 Data handling & Data Engineer responsibilities (ethics, security, etc.)
B1.1 Technical data management
Data format, variable formats; basic operations (reads, writes; sorts; selections, projections, filters; merges)
B1.2 Technical management of results (visualization)
Types of graphics, principles of good visualization
Make and discuss technical choices and representations
B1.3 Societal management
Legal aspects (RGPD), sustainable aspects (risks on people [customer and staff] as well as environmental costs), security (who holds the data, spying...).
B1.4 Implementation : Micro-project
Students will have taken and validated the following courses: Probability and Statistics; Programming with R
Test
Continuous assessment marks : TP
An individual examination grade: EX
Grade = 0.4*TP + 0.6*EX
This weighting is compatible with the organization of distance learning courses and exams
The exam is given in english only 
Calendar
The course exists in the following branches:
- Curriculum - Engineer student Master SCM - Semester 7
- Curriculum - Engineer student Master PD - Semester 7
Additional Information
Course ID : 4GMC1411
Course language(s): 
You can find this course among all other courses.
Bibliography
Elff, (2020), Data Management in R , SAGE publication
Nicholas J. Horton and Ken Kleinman , (2016), Using R and RStudio for Data Management, Statistical Analysis, and Graphics (second edition)
French State controlled diploma conferring a Master's degree
Common Core presentation
Programme courses S5
Programme courses S6
Supply Chain Management
Programme presentation
Programme courses S7
Programme courses S8
Programme courses S9
Programme courses S10
Product Design
Programme presentation
Programme courses S7
Programme courses S8
Programme courses S9
Programme courses S10
Contacts
Academic staff
- Head of studies:
Pierre Lemaire - Head of 1st Year Program:
Abdourahim Sylla - Head of Supply Chain Management Program:
Irène Gannaz - Head of Product design Program:
Guillaume Thomann
Registrar's office
- Head of Registrar's office:
genie-industriel.scolarite@grenoble-inp.fr - Secretary's office 1st Year:
Valérie Demicheli - Secretary's office 2nd Year:
Sylvie Malandrino - Secretary's office 3rd Year:
Vincente Odier - International relations department:
Nadia Dehemchi