Data Analytics with Python (5 cr)
Code: DT10074-3002
General information
Enrollment
01.10.2022 - 18.12.2022
Timing
04.01.2023 - 13.03.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
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.)
Groups
-
KAKK23Karelia, Open UAS, All, Spring, 2023
-
KAKS22Karelia, Open UAS, All, Fall, 2022
-
TOP22_23Other Complimentary Studies Group Semester 2022-2023
-
KADS22SO
Small groups
- Pienryhmä (schedulingGroup) 1
- Pienryhmä (schedulingGroup) 2
Objective
You learn how to effectively analyse and visualize data with Python.
Content
- Python libraries for data science
- Necessary probability and statistics
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
Evaluation scale
H-5
Assessment methods and criteria
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
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