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Learn which Data Science skills matter in the age of AI, from Python and Machine Learning to AI tools, practical projects and career-ready expertise.

Explore the fundamentals of data engineering in this beginner-friendly overview. Gain essential insights and practical knowledge.

Have you ever wondered what the day in the life of a data scientist looks like?

 What are some basic reasons not to become a data scientist?

How can you combine academic learning with practical skills to create an impressive Data Science Portfolio that will showcase your skills and progress in the field?

What is data ingestion, what benefits does it provide and what process does it follow?

What is a Data Catalog and why it is important for people and companies?

What is Cloud Computing? What are its benefits? What is the condition in Greece?

What steps can you follow to become a successful intelligence analyst?