Course Schedule

Course Schedule

Start > Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology (Promotion / doctorate) -> Promotionskolleg Technikwissenschaften -> Forschungsmethoden Technikwissenschaften

Lehrveranstaltungen

Quantitative Data Analysis in R: The Tidyverse Approach (Seminar)

Dozent/in: Jan-Bennet Voltmer, Katharina Voltmer

Inhalt: Why not Python? "People have divided the Data Science field into camps based on the choice of the programming language they use. There is an R camp and a Python camp and history is a testimony to the fact that camps cannot live in harmony. Members of both the camps fervently believe that their choice of language is superior to the other. So, in a way, divergence doesn’t lie with the tools but with the people using those tools." (Pandey, 2019) "R is developed by academics and scientist. It is designed to answer statistical problems, machine learning, and data science. R is the right tool for data science because of its powerful communication libraries. [...] After you know your first programming language, learning the second one is simpler." Therefore, participants will practice the programming language R using prepared syntax. Participants will work on small programming tasks on their own and in small groups to practice and deepen their statistics and R skills. In particular, the seminar will focus on the relatively new but very intuitive “tidyverse” approach of R programming. This consists of some very easily relatable “verbs” (i.e., select, filter, mutate, group_by, summarize), to ease accessibility of R analyses.