Data Analytics in Python

 Étudiant·es / Chercheur·euses / Enseignant·es

 Cours en ligne

 Cours en anglais, assistance en français et en allemand

 SP 2022

 The course "Python Programming online" is strongly recommended

From Big Data to Machine Learning, applications based on Data Analytics have become ubiquitous over the past decades, as we truly are in the Age of Information. This course aims at providing the basis to understand and navigate autonomously the topic, from both a theoretical and practical perspective. The Python programming language will also receive significant attention, as to provide the students with tools and skillset immediately useful in the modern industrial and academic landscape, including application-oriented Machine Learning.
The course material is in English and available at all time. The students are encouraged to follow the lectures at their own pace, and start at any time. Support is provided at specific times during the academic year.

  • Objectif

    This online course provides the students with the competences and skills to perform advanced Data Analysis using the Python programming language.

  • Contenus et thèmes abordés

    This online course offers an overarching study of Data Analytics from multiple perspectives, which will be addressed as they become needed through the course progression. The main topics are:

    • Python programming: language fundamentals, Jupyter notebooks, object-oriented programming, advanced functionalities, core libraries, debugging.
    • Handling data: data sources, defects and mitigation, access and formats, visualization.
    • Analysis: experiment design, data selection, normalization, feature selection, fundamental statistics.
    • Machine Learning: classification, regression, clustering, imputation, dimensionality reduction, with a few selected algorithms on each topic.
    • Additional Python libraries: Numpy, IPython, Pandas, Seaborn/Matplotlib, Scikit-Learn, Keras/Tensorflow.
  • Format, date et lieu

    Online course, 1 semester.

  • Prérequis

    The course "Python Programming online" is strongly recommended: https://www.unifr.ch/digitalskills/fr/student/python-programming-online.html

  • Validation

    The acquisition of ECTS credits is possible and optional, based on passing an exam at the end of the course. The format of the exam will be communicated at the beginning of the course.

  • Responsable

    Giuseppe Cuccu

Inscription MyUnifr 

Inscriptions pas encore ouvertes

Uniquement pour étudiant·e·s Unifr

Inscription en ligne  

Inscriptions pas encore ouvertes

Pour toutes les autres catégories

Contact

Giuseppe Cuccu
giuseppe.cuccu@unifr.ch

Une collaboration de