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BI toolsLaajuus (5 cr)

Code: DA00EK54

Credits

5 op

Teaching language

  • Finnish

Objective

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Enrollment

06.11.2023 - 17.11.2023

Timing

08.01.2024 - 31.05.2024

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 - 60

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

Jarkko Ansamäki

Groups
  • DAKV23SV
    Data analytics, online studies

Objective

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Materials

Web materials

Teaching methods

Individual learning tracks can be discussed about with the lecturer

Employer connections

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

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation according given exercises and projects.

Enrollment

07.11.2022 - 18.11.2022

Timing

09.01.2023 - 01.05.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Liiketalouden koulutusyksikkö

Campus

Kouvola Campus

Teaching languages
  • Finnish
Seats

20 - 80

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

Objective

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

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

Student workload

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

08.11.2021 - 21.11.2021

Timing

01.01.2022 - 01.05.2022

Number of ECTS credits allocated

5 op

Virtual portion

2 op

RDI portion

1 op

Mode of delivery

60 % Contact teaching, 40 % Distance learning

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 can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Evaluation scale

1-5