Mobile Application for Data Analysis Learning. Interactive Tasks Module

Student: Pimenov Pavel

Educational Programme: Software Engineering (Bachelor)

Final Grade: 7

Year of Graduation: 2021

There is a growing demand for data analysis skills. This skill is required in a variety of fields, including that aren’t directly connected with programming. Working with data often requires doing various transformations, calculations, visualisations, and predictions. All of these tasks can be done in the Python language ecosystem (jupyter, pandas, matplotlib). Despite the large number of educational materials on the subject, people have difficulties at the very beginning of learning process. The module of interactive tasks as a part of the mobile application described in this project is designed to help beginners to learn data analysis in Python. This is intended to be achieved through different approaches, such as interactivity, individualization of tasks, and motivating gamification.

Full text (added May 19, 2021)

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