La recherche documentaire (Coursera)

Offered by École Polytechnique,
La recherche documentaire (Coursera)

Ce cours vise principalement à permettre aux étudiants d’identifier les sources pertinentes dans un domaine donné, leur apprendre à construire un état de l’art et à évaluer les sources, en particulier celles en accès libre sur Internet. Il cherche également à optimiser la recherche documentaire en incitant les étudiants à tirer le meilleur parti des outils et requêtes d’interrogation des bases de données. A l'issue de ce cours, ils devront être capables de construire et alimenter une bibliographie ordonnée, ainsi que de citer convenablement leurs sources pour éviter le plagiat.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Who is this class for:
Les étudiants de l'École polytechnique et tout public intéressé par la recherche documentaire.

Syllabus

WEEK 1
La Recherche documentaire pour tous!
La Recherche documentaire est utile dans tous les domaines, que ce soit pour un travail de recherche ou une réalisation pratique. Ce module vous donne les principales clés pour comprendre comment la mener de façon efficace et comment bien citer vos sources.
Graded: Compréhension - Semaine 1

WEEK 2
Méthodologie utile pour mener une Recherche documentaire.
Ce module vise à vous donner une méthodologie utile pour construire votre recherche et pour ne pas tomber dans les travers du plagiat.
Graded: Compréhension - Semaine 2

WEEK 3
Recherche dans les bases de données bibliographiques.
Ce dernier module met en pratique la méthodologie de recherche et l'utilisation des logiciels de références bibliographiques en vous montrant comment utiliser les principales bases de données bibliographiques et les moteurs de recherche spécialisés.
Graded: Bibliographie

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Uso de bases de datos con Python (Coursera) Coursera
University of Michigan

Uso de bases de datos con Python (Coursera)

Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos.

Nov 9th 2026
5-12 Weeks
Working with Data in Android (Coursera) Coursera
Meta

Working with Data in Android (Coursera)

Learn how to work with web technologies and persistent data on Android applications even after you close or restart an app. There is a focus on web communication and developer tools and you will discover how Kotlin applications communicate over the web. You’ll learn how data formats and web protocols work in relation to Kotlin apps. Furthermore, you will practice applying asynchronous programming techniques using Kotlin.

Nov 9th 2026
5-12 Weeks
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Nov 9th 2026
4 Weeks
Data Visualization with Advanced Excel (Coursera) Coursera
PwC

Data Visualization with Advanced Excel (Coursera)

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek.

Nov 9th 2026
4 Weeks
Health Information Technology Fundamentals (Coursera) Coursera
Johns Hopkins University

Health Information Technology Fundamentals (Coursera)

In this course you will receive an overview of the health IT ecosystem and the types of technologies IT support staff interact with the most. You will be introduced to the role of electronic health records (EHRs), clinical decision support, telemedicine, patient portals, and medical devices. We’ll cover common examples of how disruptions in these technologies can impact ongoing operations and routine clinical workflow. Although there is an interconnectedness to some aspects of healthcare, there are also limitations in data sharing. We want you to walk away from this course with an understanding of the family of technologies and tools that are critical in healthcare operations.

Nov 9th 2026
4 Weeks
Introduction to MongoDB (Coursera) Coursera
MongoDB University

Introduction to MongoDB (Coursera)

"Introduction to MongoDB" guides you through the foundational skills and knowledge you need to get started with MongoDB. Get an introduction to MongoDB Atlas, the developer data platform, and how to create and deploy an Atlas cluster. Discover how MongoDB structures data in documents similar to JSON objects, making it flexible and developer friendly.

Nov 9th 2026
4 Weeks
Process Data from Dirty to Clean (Coursera) Coursera
Google

Process Data from Dirty to Clean (Coursera)

This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Nov 3rd 2026
5-12 Weeks
SQL: A Practical Introduction for Querying Databases (Coursera) Coursera
IBM

SQL: A Practical Introduction for Querying Databases (Coursera)

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.

Nov 16th 2026
5-12 Weeks
Foundations of marketing analytics (Coursera) Coursera
ESSEC Business School

Foundations of marketing analytics (Coursera)

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.

Nov 2nd 2026
5-12 Weeks
Using Databases with Python (Coursera) Coursera
University of Michigan

Using Databases with Python (Coursera)

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization.

Nov 9th 2026
5-12 Weeks