Data Analytics with Python (5 cr)
Code: DT10074-3002
General information
- Enrollment
- 01.10.2022 - 18.12.2022
- Registration for the implementation has ended.
- Timing
- 04.01.2023 - 13.03.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Information and Communication Technologies (DATA)
- Campus
- Wärtsilä Campus Karjalankatu 3
- Teaching languages
- English
- Seats
- 20 - 40
- Degree programmes
- Degree Programme in Business Information Technology
- Teachers
- Radu Mariescu-Istodor
- Jyri Kemppainen
- Teacher in charge
- Jyri Kemppainen
- Scheduling groups
- Pienryhmä (schedulingGroup) 1 (Size: 20 . Open UAS : 20.)
- Pienryhmä (schedulingGroup) 2 (Size: 10 . Open UAS : 0.)
- Small groups
- Pienryhmä (schedulingGroup) 1
- Pienryhmä (schedulingGroup) 2
- Course
- DT10074
Evaluation scale
H-5
Objective
You learn how to effectively analyse and visualize data with Python.
Execution methods
- Lectures and exercises 20h
- Self-study 100h
Accomplishment methods
Course grading is based on continuous evaluation through weekly assignments
- Assignments are graded from 0 to 5, and the course grade is the average grade from these assignments.
The minimum grade for passing the course is 1
Content
- Python libraries for data science
- Necessary probability and statistics
Qualifications
- You master Python programming language, or
- You have completed Programming Essentials in Python
- You have a basic understanding of mathematics, statistics, and data science
Further information
- Lectures and exercises 35h
- Self-study 100h
Starting level:
- You master Python programming language, or
- You have completed Programming Essentials in Python
- You have a basic understanding of mathematics, statistics, and data science