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Introduction to data analytics (5 cr)

Code: DA00EK51-3001

General information


Enrollment
23.08.2021 - 29.08.2021
Registration for the implementation has ended.
Timing
30.08.2021 - 12.12.2021
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
Campus
Ecampus
Teaching languages
Finnish
Degree programmes
Degree Programme in Business Management
Teachers
Juuso Koponen
Väinö Toots
Jarkko Ansamäki
Groups
DAKV21SP
Data-analytics, full-time studies
Course
DA00EK51
No reservations found for realization DA00EK51-3001!

Objective

You understand the importance of data analytics for businesses. You know the basic concepts of data analytics. You know different data sources. You understand the importance of visualization and communication. You know some programs related to data analytics. You can do small analyzes on a simple data set using a spreadsheet program. You understand your responsibilities and are able to take sustainability into account when preparing reports. You examine data critically.

Content

What is the significance of data analytics? Where can I get data? How has the presentation of the data been able to make an impact? What programs can be utilized in data analytics? How can I do a simple analysis on open data using a spreadsheet program? What mathematical bases do I need when analyzing data? How do I act responsibly and with sustainability in mind? How do I make accessible reports?

Evaluation

Students can
use professional vocabulary systematically.
look for information in the key information sources of the field.
identify interrelated tasks.
use the key models, methods, software and techniques of the professional field.
justify their actions according to the ethical principles of the professional field.

Course material

Web materials

Study forms and methods

Individual learning tracks should always be discussed with the lecturers

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation is based on online tests and assignments

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