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ENG-209: Data science for engineers with Python

Summary

Ce cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir de données réelles.

Lectures

Instructors (3)

Olivier Verscheure

Jean-Philippe Pellet

Eric Pierre Bouillet

Eric Bouillet received his PhD degree in Electrical Engineering from Columbia University, New York, NY in June 1999. Eric Bouillet has been working at IBM T.J. Watson Research Center, Hawthorne, NY since June 2004, and at the IBM Smarter City Technical Centre, Dublin from October 2010 to August 2016. While at IBM he has been working on scalable data stream analytics applied to a number of fields, including finances, law-enforcement, telecommunications, environmental monitoring, intelligent transport systems, and aircraft reliability control systems. Before joining IBM Research, Eric Bouillet was at Tellium, Oceanport, NJ where he was part of the research team who invented and designed the first commercial optical mesh restoration network (deployed nationwide and documented in their book Path Routing in Mesh Optical Networks), and at Lucent Technologies’ Mathematical Science Center in the department of Mathematics of Networks and System Research department where he worked on the design optimization and sizing of circuit and packet switched networks. Since September 2016 Eric is the Chief Architect and Head of Engineering of the newly created Swiss Data Science Center, a national R&D center organizationally hosted by both EPFL in Lausanne and ETH Zurich.

Official source

Moodle Page

http://go.epfl.ch/ENG-209

Summary

Lectures

Instructors (3)

Olivier Verscheure

Jean-Philippe Pellet

Eric Pierre Bouillet

Official source

Moodle Page

http://go.epfl.ch/ENG-209

Lectures in this course (31)

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Data Science Visualization with Pandas Log in to Mediaspace to watch this video

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Data Science: Python for Engineers - Part II Log in to Mediaspace to watch this video

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Advanced Pandas Functions Log in to Mediaspace to watch this video

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

Decision Tree Classification Log in to Mediaspace to watch this video

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

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