Data Analysis 1a: Foundation of Data management in R (full-time)

Course Description: 

Type: core

Seminars: Group 1: for full-time students primarily. Group 2: for part-time students in MSc in Business Analytics primarily. Group 3: for MSc in Finance students and all for whom the course in not offered in their program. MA in Economic Policy in Global Markets students have to choose one from Data Analysis 1a Group 1 (programming in R, full-time schedule) and Data Analysis 1b (programming in Stata, full-time schedule).

Timing: Full time: weekday, Part-time: Saturday


About 80% of data science tasks are composed of managing data, from understanding and altering features of the dataset and variables, to combining various datasets. This course introduces the critical tasks of data wrangling, presentation and understanding of descriptive statistics and basics of visualization. At the same time, the course serves as an introductory class to using R, discussing the use of the R Studio IDE as well as various important packages (data.table, some of the tidyverse libraries, R markdown, ggplot2, Shiny etc). The focus is on learning to read and write data frames; understand and work with objects, columns, vectors, tables, data frame; or define loops and functions; filter, aggregate, summarize and visualize data. Several real life examples will be used to illustrate these libraries in action.


Learning Outcomes: 






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