Data Analysis 1b: Foundation of Data management in Stata (full-time)

Term: 
Fall
Credits: 
2.0
Course Description: 

Type: core for PhD in Business Administration 1st yr , MA in Economic Policy in Global Markets 1st yr,

elective for MA in Global Economic Relations ( full time & part time) , MSc in Business Analytics (Full Time)

Timing: Full time: weekday

 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 Stata, discussing the use of important commands. 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. Several real life examples will be used to illustrate these libraries in action.

Learning Outcomes: 

This course presents the key methods of data management and introduces the use of the statistical
software Stata.

Assessment: 

- Start-of-the-class Quizzes (10%)
- Assignments (40%)
- Closed book exam (50%)

Prerequisites: 

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