Data Analysis and Data Visualization (5 cr)
Code: 5Y00FD88-3003
General information
Enrolment period
15.11.2021 - 23.01.2022
Timing
01.01.2022 - 08.05.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Data Expertise and Artificial Intelligence
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Data Expertise and Artificial Intelligence
Teachers
- Esa Kujansuu
- Pekka Pöyry
Person in charge
Esa Kujansuu
Groups
-
22YDT
Objectives (course unit)
The student knows what data analysis and data visualization mean. The student is able to analyze data by various methods and produce data visualizations suitable for the need. The student knows the data of his / her field and its possibilities for analysis and visualization.
Content (course unit)
Theory, methods and techniques of data analysis. Various data visualization techniques. Utilization of a suitable analysis and visualization tool or tools. The student knows what data analysis and data visualization mean. The student is able to analyze data by various methods and produce data visualizations suitable for the need. The student knows the data of his / her field and its possibilities for analysis and visualization.
Assessment criteria, satisfactory (1-2) (course unit)
The student knows what data analysis and data visualization is and knows how to do data analysis and visualization. The student recognizes data related to his / her field.
Assessment criteria, good (3-4) (course unit)
The student is able to analyze data and produce some data visualizations. The student knows the data of his / her field and knows about the possibilities of analysis and visualization.
Assessment criteria, excellent (5) (course unit)
The student is able to analyze data in many ways and produces various data visualizations. The student has a good understanding of the data in his / her field and its analysis and visualization possibilities.
Assessment scale
0-5