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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

  • KAKK23
    Karelia, Open UAS, All, Spring, 2023
  • KAKS22
    Karelia, Open UAS, All, Fall, 2022
  • TOP22_23
    Other 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