Programming in Finance I, Statistics at master level
Tukey (1962) defines Data Analysis to be “Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.”
The goal of this course is to provide the students with the tools and thinking framework to accomplish these tasks.
Description / Program
Learning Method / Style of Lessons
This course will take students from theory to practice in three steps. New topics are introduced in short lectures, which are followed by learning-by-doing in PC labs. Students finally apply their new knowledge in individual work, which is collected and presented in a student portfolio.
40% – Written midterm exam
60% – Portfolio
Students create portfolios of ca. 20 pages from their individual work throughout the semester, including
Tukey, J.W. (1962): The future of Data Analysis, The Annals of mathematics and statistics, p. 1-67
Tukey, J.W. (1977): Exploratory data analysis