Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di machine Learning e Deep learning.
Python per la Data Science
Python per la Data Science
This course is part of Data Science con Python e R Specialization
Instructor: Carlo Sansone
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
18 hours to complete
3 weeks at 6 hours a week
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
Skills you'll gain
- Data Science
- Matplotlib
- Jupyter
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- NumPy
- Image Analysis
- Keras (Neural Network Library)
- Data Manipulation
- Artificial Intelligence and Machine Learning (AI/ML)
- Computer Vision
- Deep Learning
- Python Programming
- Artificial Neural Networks
- Pandas (Python Package)
- PyTorch (Machine Learning Library)
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 assignments
Taught in Italian
See how employees at top companies are mastering in-demand skills
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 assignments3 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 assignments2 ungraded labs
Questa settimana entriamo nel dettaglio delle convolutional neural networks, focalizzandoci sugli aspetti di transfer knowledge.
What's included
4 videos3 assignments2 ungraded labs
Toccherai con mano due casi studio avanzati che riguardano la segmentazione semantica e l’object detection.
What's included
4 videos2 assignments2 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
Offered by
Explore more from Data Analysis
Fractal Analytics
University of Colorado Boulder
Duke University
University of Michigan
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.
Open new doors with Coursera Plus
Unlimited access to 10,000+ 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
Il 20 maggio 2021. On the 20th of May 2021.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
More questions
Financial aid available,