Università di Napoli Federico II
Data Science con Python e R Specialization
Università di Napoli Federico II

Data Science con Python e R Specialization

Diventa un esperto dei dati con Python e R. Crea le basi per la tua carriera da Data Scientist. Esegui analisi su data set reali e impara ad utilizzare correttamente R e Python

Taught in Italian

Carlo Sansone
Flora Amato
Biagio Palumbo

Instructors: Carlo Sansone

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.4

(30 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apprenderai le basi per realizzare un programma in Python e riconoscere i principali comandi

  • Conoscere ed utilizzare le principali istruzioni e strutture dati in R nei tipici metodi di apprendimento supervisionato e non supervisionato

  • Conoscere le architetture di reti neurali artificiali, sia shallow che deep

  • Utilizzare le reti neurali artificiali per la classificazione, segmentazione e object detection

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.4

(30 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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  • Learn in-demand skills from university and industry experts
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  • Earn a career certificate from Università di Napoli Federico II
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Specialization - 3 course series

Python: Istruzioni per l’uso

Course 116 hours4.1 (33 ratings)

What you'll learn

  • Impara i  Principi base della Programmazione in Python, i Linguaggi Interpretati e gli Ambienti di Sviluppo

  • Impara a conoscere la  programmazione orientata agli oggetti e i costrutti più utilizzati: classi, oggetti, ereditarietà multipla

  • Utilizza in modo appropriato i Moduli e Package. Impara come gestire i Files ed eccezioni e come accedere a Data Base

What you'll learn

  • Importare, manipolare e visualizzare dati mediante R e i pacchetti inclusi in tidyverse come dplyr e ggplot2

  • Riconoscere e risolvere in R, mediante i pacchetti aggiuntivi leaps, glmnet, pls, problemi di apprendimento supervisionato e non supervisionato

  • Comprendere le differenze tra reti neurali artificiali di tipo shallow e deep

Skills you'll gain

Category: Pacchetti R: dplyr ggplot2 laps glmnet pls
Category: Reti neurali artificiali di tipo shallow e deep
Category: Apprendimento supervisionato e non supervisionato

Python per la Data Science

Course 318 hours

What you'll learn

  • Imparare a manipolare e visualizzare i dati python, tramite l'uso di alcune librerie molto diffuse

  • Imparare a instanziare, addestrare ed utilizzare reti neurali (feedforward e ricorrenti) usando scikit learn

  • Imparare ad usare i tool Keras e PyTorch per il deep learning

  • Instanziare e utilizzare una rete encoder/decoder per la segmentazione semantica e come usare reti deep pre-addestrate per la object detection

Skills you'll gain

Category: Acquisire raccogliere organizzare elaborare e modellare i dati
Category: Analizzare dati strutturati e non strutturati
Category: Problem solving proattivo
Category: Scrittura di codici in maniera corretta ed efficace

Instructors

Carlo Sansone
Università di Napoli Federico II
2 Courses1,009 learners

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