In the classroom or online classes, one will learn the basics of data analytics using Python coding under the guidance of a teacher. Students are also encouraged to study independently with the help of ready-made examples, within the rules of Haaga-Helia.
No previous coding experience is required.
Study material is delivered through Moodle. There is also a lot of online mataerial availeble.
The course content takes into account and builds on the needs of today's working life.
Pasila Campus
Detailed examination arrangements are agreed together within the implementation participants. Participants may use online material and modern coding environment in the examination, due to which a classroom examination, during which a participant's identity is checked, is necessary. Particularly, no Exam examination is possible.
All the examinations of methodological studies will be held under supervision at the premises of the Haaga-Helia UAS and the identity of the participants will be checked during the examination.
English
Analytical skills are international skills. Data analytics skills are international skills. Mathematical and methodological skills are international skills
18.08.2025 - 12.12.2025
The implementation includes individual tasks where the skills learned are applied. The topics of the tasks include Descriptive analytics Diagnostic analytics Description and analysis od time series Time series forecasting Predictive analytics and basics of machine learning models
02.06.2025 - 15.08.2025
Detailed schedule will obey the duration and the contents of the course. It will be published in the beginning of implementation in Moodle if the programme director decides to start this implementation.
The implementation allows one to participate in common teaching according to your own skills. The course material supports indivudual learning.
Juha Nurmonen
15 - 45
Individual assignments are assessed and each contributes its own weight to the final grade. Each individual assignment must be passed according to the criteria given in the implementation during the same course implementation.
INTBBA International Business
0.00 cr
0.00 cr
H-5
Pasila Campus
English
12.01.2026 - 15.05.2026
Toni Ernvall
15 - 45
ITBBA Business Information Technology, INTBBA International Business
0.00 cr
0.00 cr
H-5
No ongoing implementations yet.
Using Python in data analytics is learned under the guidance of a teacher.
Previous coding experience is not required.
Course material will be available in Moodle.
Pasila Campus
No exam.
English
13.01.2025 - 14.03.2025
There are three exercises. Their topics cover descriptive analytics, diagnostic analytics, time series and machine learning.
02.01.2025 - 10.01.2025
Toni Ernvall
15 - 45
Final grade is the average of assignment grades rounded to integer. All assignments must be passed.
ITBBA Business Information Technology, INTBBA International Business
0.00 cr
0.00 cr
H-5
In the classroom or online classes, one will learn the basics of data analytics using Python coding under the guidance of a teacher. Students can also study independently with the help of ready-made examples.
No previous coding experience is required.
https://1u.fi/hhjuhanurmonen (available via vdi)
Pasila Campus
English
14.10.2024 - 13.12.2024
The implementation includes individual tasks where the skills learned are applied. The topics of the tasks include Descriptive analytics Diagnostic analytics Time series description and analysis Time series forecasting Predictive analytics and machine learning models
03.06.2024 - 11.10.2024
Period 2, Autumn 2024
The implementation allows one to participate in common teaching according to your own skills. The course material supports indivudual learning.
Juha Nurmonen, Veijo Vänttinen
15 - 45
Individual assignments are assessed and each contributes its own weight to the final grade. Each individual assignment must be passed according to the criteria given in the implementation during the same course implementation.
INTBBA International Business
0.00 cr
0.00 cr
H-5