Introduction to Data Science, Artificial Intelligence and Machine Learning with Python
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This intensive 24-hour training course provides an in-depth overview of the fundamental concepts and practical applications of Data Science, Machine Learning, and Neural Networks, and in general of extracting value from a data set. Through a combination of theoretical lectures and practical sessions, participants will acquire essential skills to tackle complex real-world challenges using Python as the primary language.
The course focuses on different algorithmic techniques for data analysis, including regression, classification, clustering, and neural networks. Starting from the basics, participants will be guided through the fundamental concepts of each topic and will be introduced to a wide range of techniques and algorithms commonly used in Data Science and Machine Learning.
Through hands-on exercises and guided projects, participants will have the opportunity to apply their acquired knowledge on real datasets, tackling regression problems for prediction, classification for categorical data analysis, clustering for pattern identification, and deep neural networks for more complex machine learning tasks.
The entire course is conducted using Python as the main programming language, and participants are required to have a minimum level of programming proficiency to actively participate in the hands-on sessions. At the end of the course, participants will have a solid understanding of the fundamental principles of Data Science and Machine Learning, along with the ability to apply this knowledge in real-world contexts using Python.
The course has great relevance and impact in the tourism, fashion, culture, textile industries. In general, data science and machine learning can be extremely useful in the tourism, culture, fashion, and textile manufacturing industries in a variety of ways such as: supply chain optimization, market trend forecasting, service and product personalization, inventory management, demand forecasting, customer analytics, etc.
Course duration: 24 hours
Delivery method: in person at ComoNext Innovation Hub
Minimum number of participants: 5
Available places: 10
Participation fee: 450 Euro