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Internal company dataLaajuus (5 cr)

Code: DA00EK56

Credits

5 op

Teaching language

  • Finnish

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Enrollment

08.04.2024 - 21.04.2024

Timing

02.09.2024 - 31.12.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Department of Business

Campus

Ecampus

Teaching languages
  • Finnish
Seats

20 - 60

Degree programmes
  • Degree Programme in Data Analytics
Teachers
  • Jarkko Ansamäki
Teacher in charge

Jarkko Ansamäki

Groups
  • DAKV23SV
    Data analytics, online studies

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Opiskelumateriaali

Web materials

Yksilölliset oppimisväylät

Individual learning tracks should always be discussed with the lecturers

TKI ja työelämäyhteistyö

The course may have assignments made for companies or assignments agreed individually with students.

Opiskelijan työmäärä

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Enrollment

06.04.2023 - 21.04.2023

Timing

04.09.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages
  • Finnish
Seats

20 - 60

Degree programmes
  • Degree Programme in Data Analytics
Teachers
  • Väinö Toots
  • Jarkko Ansamäki
Groups
  • DAKV22SM
    Data analytics, part-time

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Opiskelumateriaali

Web materials

Yksilölliset oppimisväylät

Individual learning tracks should always be discussed with the lecturers

TKI ja työelämäyhteistyö

The course may have assignments made for companies or assignments agreed individually with students.

Opiskelijan työmäärä

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Enrollment

06.04.2022 - 22.04.2022

Timing

29.08.2022 - 31.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Degree Programme in Data Analytics
Teachers
  • Väinö Toots
  • Jarkko Ansamäki
Groups
  • DAKV21SP
    Data-analytics, full-time studies

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Opiskelumateriaali

Web materials

Yksilölliset oppimisväylät

Individual learning tracks should always be discussed with the lecturers

TKI ja työelämäyhteistyö

The course may have assignments made for companies or assignments agreed individually with students.

Opiskelijan työmäärä

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)