Study Guide

Learning outcomes

The student is able to
- understand the connection between the analytical tools that can be used on real data in companies and the decision-making
- use analytical skills to work with the data, to understand it and to turn it into intelligence for particular decisional contexts

Teaching methods

•Lecturing inTEAMS
•Group Discussion
•Individual Assignment
•Individual Project Task using Power BI and Tableau tools
•A multiple choice question examination at the end of the study unit based on the concepts studied during the study unit.

Location and time

The location of lessons will be in Teams.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE

Learning materials and recommended literature

Reference texts
•Sharda, R., Delen, D., Turban, E., Aronson, J. E., Liang, T. & King, D. 2018. Business intelligence,
analytics, and data science: A managerial perspective. Fourth edition. Global edition. Harlow, England:
Pearson.
• Analyzing Data with Power BI and Power Pivot for Excel - englanti, 2017,Alberto Ferrari, Marco Russo


• All the study materials will be uploaded in CANVAS

Alternative completion methods of implementation

You can complete the study unit virtually:

• Follow the instructions in CANVAS
• Submit the assignments on time
• Attend the project task evaluation and multiple choice examination without any fail
• You can complete the study unit successfully.

Important dates

The course will begin on 19.08.2024 and ends on 31.12.2024

30.08.2024 09.00 - 11.30 Friday
13.09.2024 09.00 - 11.30
20.09.2024 09.00 - 11.30
27.09.2024 09.00 - 11.30
04.10.2024 12.30 - 15.00
11.10.2024 12.30 - 15.00
18.10.2024 12.30 - 15.00
15.11.2024 12.30 - 15.00

Forms of internationality

The tools you are learning out of the study unit are internationally accepted.

Students workload

workload is medium

Content and scheduling

• Foundations of Business Intelligence
• Data Models
• Data Visualization
• Tools of Data Analytics and Visualization
• Focus on a specific Business Analytic Tool- Power BI
• Hands-on experience with PowerBI tool
• A project and its report with presentation
• Examination- Multiple Choice

Further information for students

Skill set you will build
- Proven approaches to business intelligence projects
- Identifying the uses and benefits of data models, pipelines, data visualizations, and dashboards
- Collaboration with team members, stakeholders, and users, as well as an understanding of their roles and priorities
- Planning processes for a successful project
- Networking to tap into the business intelligence community
- Demonstration of key knowledge and skills during a job search
Job Opportunities
Business intelligence analysts can start their careers in analytical roles such as data analyst.
When you get advance to Business Intelligence, the positions you can achieve as a Business Intelligence Professional are:
• Data analyst
• Business analyst
• Product analyst
• Business intelligence consultant
• Senior business intelligence analyst
• Business intelligence architect
• Business intelligence manager

Grading scale

H-5

Evaluation methods and criteria

The evaluation is based on the following criteria:
Assignment-20
Project Evaluation (50)
Examination (30)
Total -100

Evaluation criteria, fail (0)

If the points are less than 40, the student will fail for the study unit

Evaluation criteria, satisfactory (1-2)

If the points between 40-59, the grade will be 1 and 2
ie: 40-48 will get 1
49-59 will get 2

Evaluation criteria, good (3-4)

If the points between 60-80, the grade will be 3 and 4
ie: 60-68 will get 3
69-79 will get 4

Evaluation criteria, excellent (5)

If the points between 80-100, the grade will be 4 and 5
ie: 80-89 will get 4
90-100 will get 5