About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Approx. 30 hours to complete
Italian

What you will 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 will gain

  • Pacchetti R: dplyr ggplot2 laps glmnet pls
  • Reti neurali artificiali di tipo shallow e deep
  • Apprendimento supervisionato e non supervisionato
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Approx. 30 hours to complete
Italian

Offered by

Placeholder

Università di Napoli Federico II

Syllabus - What you will learn from this course

Week1
Week 1
9 hours to complete

Elementi di R

9 hours to complete
10 videos (Total 26 min), 6 readings, 4 quizzes
Week2
Week 2
7 hours to complete

Apprendimento automatico non supervisionato

7 hours to complete
6 videos (Total 18 min), 1 reading, 4 quizzes
Week3
Week 3
13 hours to complete

Apprendimento automatico supervisionato

13 hours to complete
9 videos (Total 55 min), 1 reading, 3 quizzes
Week4
Week 4
2 hours to complete

Reti Neurali e Deep Learning

2 hours to complete
4 videos (Total 13 min), 8 readings, 1 quiz

About the Data Science con Python e R Specialization

Data Science con Python e R

Frequently Asked Questions

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