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Introduction to Python for Data Science


This tutorial introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. With this tutorial, participants will better understand end-to-end data science and engineering with a real-world case study.

Boyan Angelov | Future of Data and AI
Boyan Angelov

Lead Data Strategy at Exxeta

Boyan Angelov is a CTO and data strategist with a decade of experience in a variety of academic and business environments such as bioinformatics, clinical trials, HRTech, management consulting, and LegalTech. He has published articles in applied machine learning and authored the O’Reilly.

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