Data Preprocessing (4cr)
Code: C-02504-TTC8030-3011
General information
- Enrolment period
- 18.11.2024 - 09.01.2025
- Registration for the implementation has ended.
- Timing
- 20.01.2025 - 16.02.2025
- Implementation has ended.
- Credits
- 4 cr
- Institution
- JAMK University of Applied Sciences, Opintojakso toteutetaan verkkototeutuksena (ei kontaktiopetusta). Opiskelija voi edetä toteutuksella omaan tahtiin.
- Teaching languages
- English
- Seats
- 0 - 5
- Course
- C-02504-TTC8030
Objectives (course unit)
After the course, you will understand the data analytics process and the challenges it brings. You can identify different data formats, the most common interface solutions and the tools and methods used in data preprocessing. In addition, you know how to apply the methods necessary for data preprocessing. EUR-ACE Competences: Knowledge and Understanding Engineering Practice
Content (course unit)
o Various data sources and data formats, JSON, APIt, retrieval of tables from SQL o Types of variables o Data preprocessing before bringing it into analysis program o Data preprocessing in Pandas (basics of Pandas/DataFrames) o Connecting various data sources
Prerequisites (course unit)
Basic skills of computer use, basic skills in programming, knowledge of Python programming language.
Location and time
The course is implemented online (no contact teaching). The student can proceed at his own pace during the course.
Assessment scale
0-5
Teaching methods
The course includes assignments from different subject areas of the course.
Learning materials
Course website (lecture material, exercises, other instructions).
Student workload
Environment preparations, exercises and familiarisation with the material 108 h. Total 108 h