Introduction to Data and Data-analytics (1 ECTS)
Code: TX00GB39-3002
General information
- Timing
-
08.05.2025 - 18.08.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 1 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- English
- Degree programmes
- Information and Communication Technology
- Teachers
- Tino Kankkunen
- Minna Kivihalme
- Teacher in charge
- Pekko Lindblom
- Groups
-
DATAINTEL_2Data Intelligence Launchpad group 2
- Course
- TX00GB39
Objective
This course introduces participants to the adoption of data analytics methods and tools. Basic programming skills (Python) and familiarity with SQL are recommended. The course content is designed for software developers or professionals in similar advanced ICT roles, as well as recent graduates with a bachelor-level degree in the field.
Knowledge:
• Understand the key concepts and principles of data storage, data analytics, and machine learning, as well as their significance in modern software development.
Skills:
• Be able to independently apply data analytics tools and methods for data collection, preprocessing, analysis, and visualization.
Responsibility and Independence:
• Understand the ethical and societal impacts of data analytics and artificial intelligence and be able to account for them in professional work.
Content
• Core concepts
• Relational databases
• Non-relational databases
• Basics of data analytics
• Data collection, cleaning and refinement
• Data visualization and reporting
• Case company example
Evaluation scale
Hyväksytty/Hylätty