Data Analytics in Python

 Studierende / Forschende / Lehrende

 ONline

 Kurs auf Englisch, Unterstützung auf Deutsch und Französisch

 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.

  • Ziel

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

  • Inhalte und Themen

    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.
  • Form, Datum und Ort

    Online course, 1 semester.

  • Voraussetzungen

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

  • Validierung

    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.

  • Verantwortliche

    Giuseppe Cuccu

Anmeldung MyUnifr 

Anmeldungen noch nicht geöffnet

Nur für Unifr-Studierenden

Online-Anmeldung 

Anmeldungen noch nicht geöffnet

Für alle anderen Kategorien

Contact

Giuseppe Cuccu
giuseppe.cuccu@unifr.ch

In Zusammenarbeit mit