Geek Academy

Formazione per Aziende AI & BIG DATA

Data Science & Artificial Intelligence with Python

Data Science & Artificial Intelligence with Python

The course aims to train, both on a theoretical and practical level, professional figures specialized in data analysis with Python. Due to its versatility and reliability, Python has become one the most used programming languages in the field of Data Science & AI. Create solid data-driven decision strategies with Python!


80 ore
di corso


Servizio Placement


2 Borse di studio


10% di sconto per tutte le iscrizioni pervenute entro il 12/04/2019

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Data is the new gold! Due to technological development, digitalization and the widespread diffusion of the Internet, companies of any size –  ranging from multinationals to SMEs –  now find themselves in possession of large amounts of data that need to be processed everyday. 

This data can provide lots of valuable information: for instance, it can tell companies which customers are interested in one product rather than in another, what trends are emerging or becoming obsolete, which customers are about to switch to a competitor and why, or even what to expect in the near future.

If Python alone is enough to arouse interest in companies, knowing how to manage data and to extract concrete meanings from it are characteristics increasingly requested by multinationals, consulting firms, web agencies, advertising agencies, educational and state institutions all over the world.

The course aims to train professional figures specialized in data analysis and programming with Python. It includes modules dedicated to: data manipulation, data analysis and data presentation through special Python libraries (Pandas, NumPy, Matplotlib, Seaborn); ready-made Machine Learning and Artificial Intelligence tools for Python (Scikit, Tensorflow).

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The right course to dive into the exciting world of Data Science & Artificial Intelligence!

Formula: Part-time

Durata: 80 ore

Da Novembre 2019

N° posti disponibili: 5

Capienza: 6 posti

Sede di svolgimento:

ONLINE -

, Online

Docenti del corso:

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