About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Approx. 31 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 plsReti neurali artificiali di tipo shallow e deepApprendimento 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.
Intermediate Level

Approx. 31 hours to complete
Italian

Offered by

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Università di Napoli Federico II

Syllabus - What you will learn from this course

Week
1

Week 1

9 hours to complete

Elementi di R

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

Week 2

7 hours to complete

Apprendimento automatico non supervisionato

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

Week 3

13 hours to complete

Apprendimento automatico supervisionato

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

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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