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Foundations of Data Science

Diplôme / certificat de l’institution de formation

Ecole polytechnique fédérale de Lausanne (EPFL)

Catégories
Lieu de formation

A distance

Langue d'enseignement

anglais

Type de formation

Formation continue: cours

Modalités temporelles

À la carte

Thèmes de formation

Applications bureautiques et introduction à l‘informatique - Applications techniques, programmation, gestion informatique

Swissdoc

9.566.3.0 - 9.563.5.0

Mise à jour 01.05.2023

Description

Description de la formation

Objectif

Provide the students with essential knowledge, vocabulary and skills for data management and communication.

Plan de la formation

  • What is Data: Learn about data types, structures and frameworks
  • Interacting with Data: Understanding how data is used and how to use data
  • Where Data comes from: The processes for acquiring and sharing Data
  • Storing & Structuring Data: Working with different types of databases and data sets
  • Cleaning Data: Working with messy or incomplete data sets
  • Analyzing Data: Gaining insights with data science techniques and tools
  • Visualizing Data: Best practices and tools for data visualization and presentation
  • Machine Learning & Artificial Intelligence: How data is used by machines
  • Working as a Data Scientist: What do data scientists really do?
  • Data & Society: Ethics and the uses of data in society

Admission

Conditions d’admission

This course is taught at the beginner-level. Students should have the following tools, skills and abilities prior to registering for this course:

  • English at B1 level
  • A computer with a webcam, microphone and a minimum internet connection of 2Mbps download / 512kbps upload, enabling you to stream videos with sound and to effectively participate in video chats

Public cible

Foundations of Data Science is for those who work with both structured—spreadsheets and data tables—and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions.

Lien sur l'admission

Coûts

CHF 390.- per month

Diplôme

  • Diplôme / certificat de l’institution de formation

Infos pratiques

Lieu / adresse

  • A distance

Déroulement temporel

Début des cours

We enroll learners in this course on a rolling basis.

Durée de la formation

150 hours.
Self-paced, online learning.

Modalités temporelles

  • À la carte

Langue d’enseignement

  • anglais

Liens

orientation.ch