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Elements 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 05.11.2024

Description

Description de la formation

Objectif

Provide 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
  • Storing & Structuring Data: Importing, cleaning and exporting tabular datasets
  • Cleaning Data: Working with messy or incomplete data sets
  • Analyzing Data: Gaining insights on data using tables and visualisation
  • Visualizing Data: Best practices and tools for data visualization and presentation

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

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

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

35 hours.
Self-paced, online learning.

Modalités temporelles

  • À la carte

Langue d’enseignement

  • anglais

Remarques

Learners who successfully complete the Elements of Data Science course can choose to continue their upskilling journey with the Foundations of Data Science course by starting the course where they left off in Elements of Data Science (completing the remaining 1115 hours instead of 150 hours).

Liens

orientation.ch