Data Analysis 2: Foundations of Statistics

Term: 
Fall
Credits: 
2.0
Course Description: 

Seminars:

  • 1.) STATA:  mandatorily elective for MA in Economic Policy in Global Markets, PhD in Business Administration and MA in Global Economic relations ( Full Time & Part Time) students
  • 2.) R - Full Time: core for MSc in Business Analytics Full Time & Part Time, mandatorily elective for MA in Economic Policy in Global Markets, PhD in Business Administration  students, elective for MSc in Finance Full Time students
  • 3.) R- Part Time: core for MSc in Business Analytics Part Time & Full Time  students and MA in Global Economic Relations Part-Time, elective for: MSc in Finance Part Time.

This introductory course focuses on classic statistics methods which we will discuss with applications. It
focuses on summary statistics, probabilities, type of variables and their distributions. We will cover confidence
intervals, standard errors and how to perform hypothesis testing.
To understand the patterns of the data we deal with, we will look at frequency tables, joint, marginal, and
conditional probabilities.
We will also discuss the meaning and implication of key theories such as the Central Limit and Bayes'
theorem.

Learning Outcomes: 

*Understand and interpret basic statistics and figures to summarize data
Understand and interpret probabilities and distributions
Being able to tell apart independent events, clustered observations
Formulate hypothesis and test them
Understand how biases or dealing carelessly with data can misrepresent findings

Assessment: 

Quizzes 15%. Assignments 25%. Exam: 60%. Passing the course requires a passing score of
over 50% on the written exam.

Prerequisites: 

*

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