Python and Data Analytics & Statistics (3 ECTS)
Code: TX00FV84-3003
General information
- Timing
- 01.01.2025 - 31.12.2026
- Implementation is running.
- Number of ECTS credits allocated
- 3 ECTS
- Virtual portion
- 3 ECTS
- Mode of delivery
- Online
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 5000
- Degree programmes
- Information and Communication Technology
- Teachers
- Virve Prami
- Teacher in charge
- Janne Salonen
- Groups
-
ATX25TV_MAKSULLINEN_JÄRJESTELMÄOpen UAS 2025
- Course
- TX00FV84
Objective
After completing the course, student has knowledge in theory and in practise to use Python Programming Language for Basic Data Analytics and Statistics tasks
Content
1. Course Introduction
2. Python ReCap
3. Matrixies and DataFrames
4. Statistics (theory and implementation)
5. Probability Distributions and Variability
6. Relationships Between Variables
7. Data Visualization
Location and time
100% self study online course
Materials
On the Viope study platform
Teaching methods
100% online (self-study) course which can be done in own space.
Employer connections
None
Exam schedules
None
International connections
None
Completion alternatives
None
Student workload
Depends on the student's starting level
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/fail
Assessment methods and criteria
Complete 80 % of the programming & quiz exercises. In addition, please write about two page (a4) learning diary about your learning during the course. Once you have completed, please send an e-mail to viopesupport@metropolia.fi. In your e-mail, please include your learning diary and screen capture of your completion from my corner.