Data Analysis and Digital Reporting with Python
| Course number (Stud.IP): | 39905 (lecture) + 39906 (tutorial) |
| Examination number: | 221841 |
| Module: | DTBS: Major Management / Wahlpflichtbereich BAE: Schwerpunkt AFT BWI: Wahlpflichtmodule |
| Hours per week per semester: | 4 (lecture + tutorial) |
| Duration of the module: | 1 semester |
| Cycle: | Every semester |
| Expected achievement: | Project |
| ECTS: | 5 |
Recommended entry requirements
None.
Possibilty to retake exam:
If you have failed the exam, you can retake it corresponding to § 6 of your course and examination regulations.
- Introducion in programming with python
- General basics: python and jupyter
- Working with data records: pandas
- Getting financial data from:
- Comercial providers
- APIs
- Web Scraping
- Using statistical and interactive charts to visualise financial data
- Descriptive financial data analytics
- Interactive digital reports by using dashboards
Recommended literature
- Learn Python Programming (2018) – Romano, F., Packt Publishing Ltd.
- Web Scraping with Python (2018) - Ryan Mitchell, O'Reilly Media, Inc.
Students learn the basics and concepts that are nesseccary for data analysis of the programming language python. You learn how to use different sources to get data so that you can obtain differnt kinds of financial data automatically. Furthermore students learn how to visualise all the informations via different graphic types which include the relevant data. At the end of this course students know about descriptive methods of analysis and are able to generate dashboads for digital reporting which can be used for economical decisions.
Teaching form
- Interactive lecture, including digital supporting documents
- Interactive tutorials, including programming by your own
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