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Elements of Data Science

Diploma / certificato del formatore

Ecole polytechnique fédérale de Lausanne (EPFL)

Categorie
Luogo di formazione

A distanza

Lingua di insegnamento

inglese

Tipo di formazione

Perfezionamento: corsi

Modalità temporali

A scelta

Ambiti

Applicazioni tecniche, programmazione, gestione informatica - Burotica e introduzione all’informatica

Swissdoc

9.566.3.0 - 9.563.5.0

Aggiornato il 05.11.2024

Descrizione

Descrizione della formazione

Objectif

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

Piano di formazione

  • 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

Ammissione

Condizioni d'ammissione

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.

Costi

CHF 390.- per month

Diploma

  • Diploma / certificato del formatore

Informazioni pratiche

Luogo / indirizzo

  • A distanza

Svolgimento temporale

Inizio

We enroll learners in this course on a rolling basis.

Durata

35 hours.
Self-paced, online learning.

Modalità temporali

  • A scelta

Lingua di insegnamento

  • inglese

Osservazioni

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).

Link

orientamento.ch