Python and Data Analytics & Statistics (3 ECTS)
Code: TX00FV84-3001
General information
- Enrollment
- 30.08.2024 - 31.12.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 29.08.2024 - 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 - 500
- Degree programmes
- Information and Communication Technology
- Teachers
- Virve Prami
- Teacher in charge
- Tino Kankkunen
- Groups
-
CAMPUSONLINE_TIVI_NONSTOPCampusOnline implementations (Tivi Nonstop)
- Course
- TX00FV84
Learning outcomes
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
Teaching methods
100% self study online course which can be done in own space.
Location and time
100% self study online course which can be done in own space.
Learning materials and recommended literature
On the Viope study platform.
Alternative completion methods of implementation
None
Internship and working life connections
None
Exam dates and retake possibilities
None
International connections
None
Student workload
Depends on the student's starting level.
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.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/fail