Advanced Data Analysis

The course Advanced Data Analysis, is a course within the Master of Science programmes at the Graduate School, School of Business, Economics and Law, University of Gothenburg.

To be eligible for the course Advanced Data Analysis, the participant must fulfil the entrance qualifications for one of the Master of Science programmes at the Graduate School. The participant must also have a minimum of 15 credits in Statistics, or 7.5 credits in Statistics and 7.5 credits in quantitative methods and/or Mathematics.

The course discusses the usefulness of computer skills in the light of the ongoing global digitalization. In particular, the aim is to highlight the skills needed to understand and critically assess the usefulness of algorithms and AI. The course comprises components teaching how to find and extract data from different sources and discussions on available tools for handling and organizing data. Further, the course include components teaching how to clean data and use it in conjunction with traditional commercial business databases.

The course focuses on data handling using Python and to some extent statistical analysis. There are no prerequisite of programming knowledge.

On successful completion of the course the student will be able to:

1. identify and extract useful data for analysis
2. clean and organize data into an analyzable format
3. analyze unstructured data in conjunction with other conventional provided data in commercial databases
4. present results orally using appropriate visualization techniques.

The teaching consists of lectures (live and pre-recorded videos) and seminars.

Language of instruction: English

Learning outcome 1 and 2 are assessed through a group assignment (written report and oral presentation in class) and an individual written assignment.

Learning outcome 3 is assessed through an individual written assignment.

Learning outcome 4 is assessed through a group assignment (written report and oral presentation in class).

In addition, there will be quizzes covering all four learning outcomes.

Mandatory seminars are clearly indicated in the course schedule. If the course coordinator agrees that the reason for absence or non submission of compulsory elements is valid, then the missing elements can be replaced with alternative assignments.

A failed assignment can be supplemented to a Pass grade.

The individual assignment shall be written individually, cooperation in formulating text, tables, figures etc. is not allowed.

If a student who has been failed twice for the same examination element wishes to change examiner before the next examination session, such a request is to be granted unless there are specific reasons to the contrary (Chapter 6 Section 22 HF).

If a student has received a certificate of disability study support from the University of Gothenburg with a recommendation of adapted examination and/or adapted forms of assessment, an examiner may decide, if this is consistent with the course’s intended learning outcomes and provided that no unreasonable resources would be needed, to grant the student adapted examination and/or adapted forms of assessment.

If a course has been discontinued or undergone major changes, the student must be offered at least two examination sessions in addition to ordinary examination sessions. These sessions are to be spread over a period of at least one year but no more than two years after the course has been discontinued/changed.

The number of examinations is limited to five.

If a student has been notified that they fulfil the requirements for being a student at Riksidrottsuniversitetet (RIU student), to combine elite sports activities with studies, the examiner is entitled to decide on adaptation of examinations if this is done in accordance with the Local rules regarding RIU students at the University of Gothenburg.

The grading scale comprises: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).

Pass is required on all examination forms. Quizzes and the oral presentation are graded pass/fail. The grade (A-E) corresponds to the total score a student obtains on the individual written assignment and written group assignment. To receive a pass grade (A-E) >= 50% points is required. The scale is tied to fixed score intervals:

A: 85%-100%
B: 75%-84%
C: 68%-74%
D: 60%-67%
E: 50%-59%
F: <50%

The course will be evaluated upon completion. The results of and possible changes to the course will be shared with students who participated in the evaluation and students who are starting the course.