Data-driven IT (5 op)

Tavoitteet

The student is able to
- use planning, analysis and decision-making tools and techniques in strategic planning
- analyze business and usage analytics and use them as a basis for service development delivery as well as sales decisions
- make data-based business decisions in various business contexts
- apply data in decision-making processes
- visualize data to support decision making processes
- identify and utilize essential data sources for IT service development and delivery

Aika ja paikka

The location of lessons will be in Teams.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE
** You can see the schedule in Pakki and in Canvas.**

Oppimateriaali ja suositeltava kirjallisuus

All the materials for learning will be uploaded in the Canvas.

Toteutustapa

This study unit is structured for independent completion according to a defined schedule with strict assignment deadlines. While the majority of the coursework is self-directed, Active self-management and time management are essential. There are a few scheduled lectures are organized.

To finish the study unit successfully, you need to complete

* Three assignments (More details about the assignment can be found on the assignment pages.)
* one quiz assignment (5 points)
* Earn a badge assignment (5 points)
* Two document submission assignments. (20 points)
* A multiple choice examination of 30 points.
* Project Task (40 points)

** Learning Environment and Tools:
Course content and assignments are hosted on the Canvas learning platform, supplemented by activities in Teams and SAS certification environments. These platforms provide access to additional certifications and courses that are highly valued in professional settings and are thus integrated into this study unit.

**Guidance and Support:
Instructional support is provided through Canvas. The instructor may be contacted via Canvas messaging, email, or discussion boards. It is essential to actively monitor Canvas for course announcements and to thoroughly read all posted instructions and guidance.

** Feedback and Assessment:
Individual feedback will not be provided. Instead, performance will be assessed based on the scores obtained from certification, modules and tests.
Feedback on the Final Assignment will be delivered through the Evaluation Criteria Chart (Rubrics) shown in the project task in CANVAS, indicating the level of understanding and execution demonstrated by you.
The final course evaluation will be completed by the end of May.

** Important Note:
This course format demands a high level of self-direction and independent learning. If you feel this style of implementation does not suit your learning preferences, we encourage you to explore alternative formats of the same course.

!!!!!!!!!!!!!! Kindly notice that the medium of instruction for this course will be in English.

Työelämäyhteistyö ja/tai TKI

Potential collaboration with companies by inviting guest speakers to share insights on the practical applications of data and data analytics

Toteutuksen valinnaiset suoritustavat

You can complete the study unit virtually:

• Follow the instructions in CANVAS: The course learning environment is Canvas.
• Lectures will be recorded and uploaded in CANVAS for future reference.
• Submit the assignments on time.
• A mandatory multiple-choice examination.
• Attend the project task Evaluation.
• You can complete the study unit successfully.

Opiskelijan ajankäyttö ja kuormitus

Medium

Sisältö ja sen jaksotus

Module 1: Introduction to Decision Making and Data Analytics
General idea for Data-Driven Decision Making and Data Analytics
What is data, different types of data and different tests on data?
What is Big Data and the perspective of Big Data?
GDPR

Module 2: Understanding data based on business-specific problems
Foundation of Business Intelligence
Difference between Business Analysts and Business Engineers.
Business strategy: What is Business Process and Business Process Mapping?
Gap Analysis, Key Performance Indicators, Business Metrics
Stages of Business Intelligence
Business Intelligence Teams and Partners

Module 3: Data Analysis and Implementation using an Analytic Tool
Data Sources
ETL Process: Extract, Transform and Load
Data Visualisation Approaches
Implementation of an Analytic Tool (PowerBI, Qlicksense or Tableau)
Data Modelling and Visualisation in an Analytic Tool

Arviointiasteikko

H-5