Skip to main content

Business IntelligenceLaajuus (5 cr)

Code: 4_EFS8040

Credits

5 op

Teaching language

  • English

Learning objectives

Student is able to analyze and visualize data collected with some tool like Microsoft BI tools, IBM Watson analytics or Big Data Hadoop tools. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions. Students are able to use artificial intelligence and deep learning methods to make analysis and decisions of the industrial or digital health process.

Content

Alternative content:
Microsoft Excel Power tools, Microsoft Power BI, Basics of DAX language.
IBM Watson analytics tool
Big Data analytic with Hadoop

Decision making in business, Digital Health and industrial processes:
Artificial Intelligense decision making
Deep learning procedures

Materials

Material given in Moodle course.

Enrollment

01.08.2024 - 15.09.2024

Timing

01.08.2024 - 22.12.2024

Credits

5 op

Mode of delivery

Contact teaching

Teaching languages
  • English
Seats

0 - 40

Degree programmes
  • Degree Programme in Internet of Things
Teachers
  • Mika Vanhanen
Student groups
  • EF21SP
    Bachelor Degree Programme in Information Technology IOT

Teaching methods

Student is able to analyze and visualize data collected with some tool like Microsoft BI tool. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions.

Student workload

56 hours lessons, including 2 exams
79 hours independent work of student

Materials

Material given in Moodle course.
Manuals of used programs.

Enrollment

01.08.2023 - 15.09.2023

Timing

04.09.2023 - 20.12.2023

Credits

5 op

Mode of delivery

Contact teaching

Teaching languages
  • English
Seats

0 - 40

Teachers
  • Mika Vanhanen
Student groups
  • EF20SP
    Bachelor Degree Programme in Information Technology IOT

Teaching methods

Student is able to analyze and visualize data collected with some tool like Microsoft BI tool. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions.

Student workload

56 hours lessons
79 hours independed work of student

Materials

Material given in Moodle course.
Manuals of used programs.

Further information

https://moodle.savonia.fi/course/view.php?id=17679