Course

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

SWISS DATA SCIENCE CENTER Housed at both EPFL and ETH Zurich, the newly created Swiss Data Science Center (SDSC) will address the fragmentation within today's data and analytics landscapes. The SDSC will be composed of a distributed multi-disciplinary team of data scientists and experts in domains including personalized health and personalized medicine, transportation, earth and environmental science, social science and digital humanities, and economics. The center aims to federate data providers, data and

Jean-Philippe Pellet

Teaching & PhD Courses Data science for engineers with Python ENG-209 This course offers a gradual and comprehensive introduction to the field of Data Science through the Python programming language. It guides students from raw data manipulation to modeling and the extraction of meaningful insights from real-world data.

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

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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 (7)

ENG-209 2024, Cours 2

ENG-209 2024, Cours 3

Data Science with Python

Covers Python basics, Pandas, data manipulation, visualization, and machine learning.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces data structures like tuples, lists, sets, and dicts in Python, covering their definition, manipulation, and iteration.

Data Science with Python: Modules and Numpy

Introduces Python modules and NumPy for efficient array operations and linear algebra in data science.

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