Skip to main content

Introduction to data analytics (5 cr)

Code: DA00EK51-3002

General information


Enrollment

22.08.2022 - 28.08.2022

Timing

29.08.2022 - 09.12.2022

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Liiketalouden koulutusyksikkö

Campus

Ecampus

Teaching languages

  • Finnish

Seats

20 - 300

Degree programmes

  • Degree Programme in Data Analytics

Teachers

  • Juuso Koponen
  • Väinö Toots
  • Jarkko Ansamäki

Teacher in charge

Jarkko Ansamäki

Groups

  • DAKV22SM
    Data analytics, part-time

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?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.