The course "Reproducible and Interactive Data Analysis and Modelling using Jupyter Notebooks" (7.5 ECTS) will take place on 10,11 & 13 March, 2020.  Details of the course content can be found below and on the COMPUTE webpage. The application form can be found here.

Students must be COMPUTE members to take this course: Membership is free, comes without any obligatory courses etc., and is open to all PhD students at the faculties of Science, Medicine, and LTH. The membership application form can be downloaded here.

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Reproducible and Interactive Data Analysis and Modelling using Jupyter Notebooks (Week 11, 4 ECTS)

The aim of this course is to introduce students to the Jupyter Notebook which is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. Through the notebooks, research results and the underlying analysis can be transparently reproduced as well as shared.

During three days with alternating video lectures and hands-on exercises, the participants will learn to construct well-documented, electronic notebooks that perform advanced data analysis and produce publication ready plots. While the course is based on Python, this is not a prerequisite, and many other programming languages can be used.

Course teachers: Caterina Doglioni, Mikael Lund, Giulio Tesei