Università di Napoli Federico II

Python per la Data Science

This course is part of Data Science con Python e R Specialization

Taught in Italian

Carlo Sansone

Instructor: Carlo Sansone

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

18 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

18 hours (approximately)
Flexible schedule
Learn at your own pace

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

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Build your subject-matter expertise

This course is part of the Data Science con Python e R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

Questa settimana imparerai come usare NumPy, Pandas e Matplotlib per l’importazione, manipolazione e visualizzazione dei dati.

What's included

7 videos4 quizzes3 ungraded labs

Vedrai come implementare le reti neurali feedforward in scikit-learn e come passare da queste al deep learning con PyTorch.

What's included

4 videos2 quizzes2 ungraded labs

Questa settimana entriamo nel dettaglio delle convolutional neural networks, focalizzandoci sugli aspetti di transfer knowledge.

What's included

4 videos3 quizzes2 ungraded labs

Toccherai con mano due casi studio avanzati che riguardano la segmentazione semantica e l’object detection.

What's included

4 videos2 quizzes2 ungraded labs

Sei arrivato alla fine del percorso: mettiti alla prova con l'esame finale che ho preparato per te.

What's included

1 video1 peer review1 ungraded lab

Instructor

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

Offered by

Recommended if you're interested in Data Analysis

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