Admission requirements
There are no admission requirements.
Description
Data are all around us; and data are playing an increasingly important role in modern-day life and science. Therefore; gaining insights from large quantities of data has also become increasingly important. In this course; students will learn the basics of data analysis as well as essential programming skills. Students will learn how to find; import; and preprocess raw data. Students will learn how to organize and manage data. And; students will learn how these data can then be used for data visualizations; analytics; and basic models; that is; for exploratory data analysis.
The course relies on hands-on programming and provides an introduction to programming in Stata. Students learn how to write scripts that generate reproducible outputs. Students learn to use functions; expressions; conditions; etc. Students learn how to deal with errors. Students learn to create various types of plots that fit the data. Finally; students learn the basics of linear models as well as the limitations with respect to inference.
Course objectives
At the end of this course, students will be able to:
Find, import, clean, and transform data.
Generate descriptive statistics for variables and datasets.
Visualise data using scatter plots, histograms, and bar charts.
Apply linear models and understand the limitations with respect to inference.
Timetable
Zie MyTimetable.
Mode of instruction
Lectures
Number of (2 hour) lectures: 3 lectures of 2 hours (mandatory)
Names of lecturers: Dr. J.W.A.M. Steegmans
Required preparation by students: students should come prepared to both the lectures and the tutorials. More information can be found on Brightspace.
Seminars
Number of (2 hour) seminars: 7 tutorials of 2 hours each
For these tutorials; students should bring their own laptops (“Bring Your Own Device”).
Names of lecturers: Dr. J.W.A.M. Steegmans
Assessment method
Examination form(s)
Individual assignment (40%)
Final group assignment (60%)
The group assignment includes an obligatory individual logbook that documents each individual’s contribution. In cases of free-riding, the examiner may decide to differentiate grades among group members or to exclude a student from assessment. A retake of the group assignment is only possible if the student has actively participated in the first attempt.
The individual assignment may be compensated by the final assignment. The final assignment must be completed with a grade of 5.5 or higher. In case the grade for the final assignment is below a 5.5, the final grade for the course can only be a 5 at most. To pass the course, the final weighted grade must be 5.5 or higher. If the course is not passed, assignments graded below 5.5 may be retaken. Grades cannot be carried over to the next academic year if a student repeats the course.
Resit, review and feedback
The assignments are provided with feedback on a group and/or individual basis. Apart from that, there's the possibility to request an appointment to ask questions with respect to the graded assignments. The examiner may organize the feedback session individually or collectively.
Information on the retake assignments and the corresponding deadlines will be provided on Brightspace
Reading list
Obligatory course materials
Information about literature will be updated in due time.
Links to further reading materials can be found on Brightspace.
Information about the Stata license that is required can also be found on Brightspace.
Registration
Registration for courses and exams takes place via MyStudymap. If you do not have access to MyStudymap (guest students), look here (under the Law-tab) for more information on the registration procedure in your situation.
Contact
Coordinator: Dr. J.W.A.M. Steegmans
Work address: University Campus Spui, Spui 5, The Hague
Institution/division
Institute: Tax Law and Economics
Department: Economics
Room number secretary: Kamerlingh Onnes Building, room B2.07
Telephone number secretary: +31 (0)71 527 7756 / 1571
Email: economie@law.leidenuniv.nl