Onlinekurs II: Introduction to Legal Data Science

All materials will be available on: elearn
 

We will hold a kick-off meeting via Zoom on Wednesday, September 17, at 4:00 PM (CET) to introduce the course, set out the exam conditions, and answer any initial questions. The Zoom link for the meeting is provided on the course materials indicated above.

This online course aims to introduce students to legal data science and teach them competences in the statistical software R and basic statistics. The course is designed for law students who are interested in expanding their skillset to data science and intend to use these skills to conduct simple legal data science projects, for example as part of their master's thesis or dissertation.


The course is conducted solely online and will be self-paced.

Course structure:

• What is Legal Data Science?
• R Basics
• Analyzing Data and Data Visualization in R
• Descriptive Statistics in R
• Statistical Inference in R
• Linear regression in R
• Tidy Data
• Text as Data Basics

The students

• know how legal data science shapes legal science, jurisprudence and lawmaking;
• know basic concepts and methods of statistics;
• have basic data science skills in R;
• have the competence to carry out simple statistical analyses with legal data in R.

As the course is conducted online and using the statistical software R, students should have access to a notebook on which they can install the statistical software R and R Studio.

The online course II does not build on the online course I and can be taken independently from a participation in the online course I.

For further information, contact the course staff (ilds@ius.uzh.ch).