News
Alumni
Contact Us
MyEnsai

The School

The School

France’s Top Graduate School for Statistics and Data Science
1996-2026: ENSAI celebrates
its 30th anniversary
Values
Equality and Diversity
Sustainable Development and Social Responsibility
About ENSAI and Key Figures
Governance
Partners

FAQ
Download our brochures

Programs

Programs

How to Apply
Engineer Statistician Program
Civil Servant Program
Master in Data Science for Public Decision Making
Master for Smart Data Science
PhD Program
MS Science des données pour la Connaissance Client
Ph.D. Track
Double Degrees
Validation of Acquired Experience
Meet Us

Competitive Entrance Exams & Admissions
Professional Outlook
Data-Related Careers

Student Life

Student life

The Campus
Disability support
Financial Aid
Our Library
Student Organizations and Sports
ENSAI through Videos

Academic Calendar
ENSAI Junior Consultant
FAQ

International

International

Study at ENSAI
ENSAI Abroad
International partners
Internationalization

Student Organizations, Sports & Leisure

Research

Research

Research Areas
Research Team
Research Projects
Seminars
Commercialization
Pursuing a PhD
Visiting Faculty

Events
CREST SCIENCE

Businesses

Businesses

Lead a Project
Internship & Job Offers
ENSAI Junior Consultant
Business Forum
Stronger Together
Become a Partner
ENSAE-ENSAI Foundation

Career Center
Project portfolio
Job fair Registration

Home Second semester Statistical Methods for Missing Data

Mail Twitter LinkedIn Facebook

Second semester

Statistical Methods for Missing Data

Course type: STATISTICS

Unit: Module 2-08 : Computational methods

Number of ECTS: 2

Course code: 2ASTA01

Distribution of courses

Heures de cours : 15

Heures de TP : 9

Language of teaching: French

Evaluation methods: examen écrit

Campus de Ker Lann
51 Rue Blaise Pascal 
35172 Bruz – FRANCE
+33 (0)2 99 05 32 32

The School
The School
How to Apply
Research
Research
Student
International
International
Become a Partner
Become a Partner

ENSAI is a member of the Groupe des écoles nationales d'économie et statistique

ENSAI is an associate member of the University of Rennes

ENSAI trains civil servants as statisticians/data scientists for INSEE

Legal Notice
Privacy Policy