Title; Author; Description
Library of algorithms for data analysis of educational analytics link= https: //github.com/axtolm/dtutor-urfu/tree/main/dtutor; Tolmachev A.V.; Library dtutor in Python for analyzing data for educational analytics. Includes descriptive and predictive analytics modules. There is an example of use on Jupyter Notebook.
Examples of anonymized data for educational analytics link= https: //github.com/axtolm/dtutor-urfu/tree/main/datasets; Tolmachev A.V.; Test datasets in csv format are based on grade reports of the open edX educational platform. Each dataset contains anonymized data on students and their grades based on the results of checkpoints of one online course. There is a description of all the fields in the dataset. Can be used when testing the dtutor library.