Data Analytics (5 cr)

Code: RDI2HM102-3003

Basic information of implementation

Enrollment
15.06.2020 - 30.10.2020
Enrolment for the implementation has ended.
Timing
26.10.2020 - 18.12.2020
Implementation has ended.
ECTS Credits
5 cr
Campus
Pasila Campus
Teaching languages
English
Seats
15 - 40
Degree programmes
LEBUM Degree Programme in Leading Business Transformation
Teachers
Veijo Vänttinen
Groups
MAICTE
Information Services and Systems, Masters, Pasila
MALEAE
Leadership and Human Resource Management, Masters, Pasila
MASALE
Leading Sales and Customer Experience, Masters, Pasila
MAENTE
Entrepreneurial Business Management, Masters, Pasila
MAPO
Master, Porvoo
MAEXPE
Experience Economy and Designing Services, Masters, Pasila
VIRTUAL
Virtual implementation
MADIGE
Digital Business Opportunities, Masters, Pasila
MASTRE
Strategic Thinking and Leadership, Masters, Pasila
EXCH
EXCH Exchange students
MACOME
Communication and Marketing Management, master, Pasila
Course
RDI2HM102

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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