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

Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

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

Carlo Sansone
Flora Amato
Biagio Palumbo

Instructors: Carlo Sansone

Included with Coursera Plus

Get in-depth knowledge of a subject
4.3

(34 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.3

(34 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

Shareable certificate

Add to your LinkedIn profile

Taught in Italian

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Università di Napoli Federico II
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Python: Istruzioni per l’uso

Course 116 hours4.2 (38 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 Courses1,115 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions