Data Preprocessing (4 cr)
Code: C-02504-TTC8030-3011
General information
- Enrollment
- 18.11.2024 - 09.01.2025
- Registration for the implementation has ended.
- Timing
- 20.01.2025 - 16.02.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 4 cr
- Local portion
- 4 cr
- Mode of delivery
- Blended learning
- Institution
- Jyväskylä 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
Evaluation scale
0-5
Objective
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
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
Location and time
The course is implemented online (no contact teaching). The student can proceed at his own pace during the course.
Materials
Course website (lecture material, exercises, other instructions).
Teaching methods
The course includes assignments from different subject areas of the course.
Student workload
Environment preparations, exercises and familiarisation with the material 108 h. Total 108 h
Qualifications
Basic skills of computer use, basic skills in programming, knowledge of Python programming language.