Data Analytics with Python (5 cr)

Code: ANA001AS2AE-3003

Basic information of implementation

Timing
12.01.2026 - 15.05.2026
The implementation has not yet started.
ECTS Credits
5 cr
Campus
Pasila Campus
Teaching languages
English
Seats
15 - 45
Degree programmes
INTBBA International Business
ITBBA Business Information Technology
Teachers
Toni Ernvall
Groups
IBE4PAACC
INTBBA, 4. semester, Pasila, Accounting and Finance
CONTACT
Contact implementation
ITE4PAICB1
Business Information Technology, 4th semester, ICT and Business, Pasila, group 1
IBE4PASCM
INTBBA, 4. semester, Pasila, Supply Chain Management
IBE4PAMAR
INTBBA, 4. semester, Pasila, Marketing and Sales
IBE4PACOM
INTBBA, 4. semester, Pasila, International Business Communication
EXCH
EXCH Exchange students
Course
ANA001AS2AE

Evaluation scale

H-5

Implementation methods, demonstration and Work&Study

Depending on the implementation, learning takes place in contact lessons, as independent studies, teamwork and online-studies. Implementations can include literature, assignments, R&D co-operation and company projects. The course includes the assessment of one’s own learning.

Recognition of prior learning (RPL)
If students have acquired the required competence in previous work tasks, recreational activities or on another course, they can show their competence via a demonstration. The demonstration must be agreed with the course teacher. More information and instructions for recognising and validating prior learning (RPL) are available at https://www.haaga-helia.fi/en/recognition-learning Look at "Instructions to students (master)"

Intro

In modern organizations, information is a crucial tool for management. Data analytics is a means of refining information for business needs. The objective of this course is to understand the process and methods of data analytics and to be able to apply them through practical examples. This course does not require prior programming skills.

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