SCHEDULED DATES
14 JULY 2025 (9:00—18:00)

LEVEL
Practical

DURATION
8 hours

TRAINER
CIM4.0

PRICE

Description

Data Analysis: Learning and Deriving Value from Structured and Unstructured Data.
This module-part of the AI practical course, but also attendable individually-takes you into the heart of Artificial Intelligence applied to data. You'll learn how to turn numbers, text, and signals into information, patterns, and predictions using machine learning, deep learning, and natural language processing NLP techniques, using concrete cases and real-world exercises.

Macro Topics

Data Analysis in Python

• Data management and manipulation
• Data visualization
• Example: price of gasoline in Italy

Introduction to data analysis with AI

• Supervised and unsupervised learning algorithms
• Linear Regression and K-Nearest Neighbors
• Decision trees and clustering
• NLP Natural Language Processing

Deep Learning

• Artificial neural networks and deep learning
• Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
• Generative Adversarial Networks (GAN)

Practical exercise

• Forecasting a stock price based on historical data

Trainee’s Profile

The course is aimed at developers, software engineers and technical

Pre-Requirements

Knowledge of basic Python and theoretical knowledge of AI

Objectives

Upon completion of the module, participants will be able to apply machine learning and deep learning techniques to data analysis and Natural Language Processing (NLP) to extract information, predictions, and insights from structured and unstructured data.

More info

English language available upon request.
The subscription must be carried out within the fifth working day preceding the course starting date.