UE504 - STATS - Data Science : Do-it-yourself !

Type d'UE
Méthodologie
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Sciences cognitives
Aires culturelles
-

Recent developments in statistical and machine learning approaches have dramatically changed the landscape of several research fields. This course is a hands-on class where students will learn the skills that are required to manage and make sense of large, complex datasets and to perform reproducible, transparent analyses and modelling experiments. Instead of trying to design a class ‘one-size-fit-all’, this class will provide training material adapted to each student based on their initial training and future career goals. The course will rely on the platform datacamp.com, which provides online classes and exercises to learn data science. One of the drawback of online learning, however, is that students may feel demotivated, they may procrastinate or have issues selecting the material that suits their needs. Recent research has indeed note that completion rate is very low for moocs. The course will aim to help students overcome these obstacles : students will complete their weekly assignments in the classroom with the help of the tutor and their peers. By the end of this class, students will be asked to apply these new acquired skills on their own dataset.

Le programme détaillé n'est pas disponible.

  • Sciences cognitives – M1/S1-S2
    Suivi et validation – annuel hebdomadaire = 2 ECTS
    MCC – contrôle continu, examen
  • Coralie Chevallier [référent·e]   chargée de recherche, INSERM /
Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

This course is only open to cogmaster students.

  • Autre lieu Paris
    ENS 29 rue d'Ulm 75005 Paris (salle à préciser)
    1er semestre / hebdomadaire, mardi 14:00-16:00
    du 15 septembre 2020 au 19 janvier 2021


Intervenant·e·s


  • Coralie Chevallier [référent·e]   chargée de recherche, INSERM /

Planning


  • Autre lieu Paris
    ENS 29 rue d'Ulm 75005 Paris (salle à préciser)
    1er semestre / hebdomadaire, mardi 14:00-16:00
    du 15 septembre 2020 au 19 janvier 2021


Description


Type d'UE
Méthodologie
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Sciences cognitives
Aires culturelles
-

Recent developments in statistical and machine learning approaches have dramatically changed the landscape of several research fields. This course is a hands-on class where students will learn the skills that are required to manage and make sense of large, complex datasets and to perform reproducible, transparent analyses and modelling experiments. Instead of trying to design a class ‘one-size-fit-all’, this class will provide training material adapted to each student based on their initial training and future career goals. The course will rely on the platform datacamp.com, which provides online classes and exercises to learn data science. One of the drawback of online learning, however, is that students may feel demotivated, they may procrastinate or have issues selecting the material that suits their needs. Recent research has indeed note that completion rate is very low for moocs. The course will aim to help students overcome these obstacles : students will complete their weekly assignments in the classroom with the help of the tutor and their peers. By the end of this class, students will be asked to apply these new acquired skills on their own dataset.

Le programme détaillé n'est pas disponible.


Master


  • Sciences cognitives – M1/S1-S2
    Suivi et validation – annuel hebdomadaire = 2 ECTS
    MCC – contrôle continu, examen

Renseignements


Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

This course is only open to cogmaster students.