B425B Data Science Project Management

Lecturer:	David Gremminger, M.Sc.
Course description:	B425B - Course Outline
Language:	English
Recommended for this semester or higher:	1
ECTS-Credits:	6
Course can be taken as part of following programs/modules:	Economics and Finance European Management General Management International Business International Economics Management and Economics
Prerequisite for:	---
Prerequisites:	Basic knowledge about R and statistics
Course Type:	Lecture (2 weekly lecture hours)
Date:	October 11, 2018 from 1 p.m. c.t. - 4 p.m. - PC Lab, Nauklerstr. 47 (ground floor): R Refresher Course. Attendance is optional. Beginning of the first lecture: October 16, 2018 from 10 a.m. c.t. - 12 - PC Lab, Nauklerstr. 47 (ground floor)
Registration:	Limited to 28 participants. Registration is now open until Sunday, September 30, 2018 (8 p.m.). Link is announced here. If the number of applications exceeds the number of places available, we unfortunately will not be able to accept all of the applicants. In this case, a random selection will be made from all the applications received..
Downloads:	Ilias
Method of Assessment:	Written Exam (60 Minutes), Assignment Regular date: Additional date:
Content:	The course deals with the workflow of empirical analyses, applying all steps from data collection through data management to data output using the statistical software R. The focus is on dealing with large data sets and implementation of all data preparation and analysis steps in code to ensure replicability.
Classification:	Through the tutorial, students will be able to reflect on the concepts presented in theory, and to apply these concepts to advanced research problems.
Literature:	Grolemund, G. & Wickham, H. (2017): R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media.