Data Analytics and Data VisualisationLaajuus (5 cr)
Code: 7Y00GE96
Credits
5 op
Objectives
The objective of the course is to develop the skills to process, analyse and visualise data. The course provides the skills to utilise data in decision-making in the health care sector.
After completing the course, the student
- know the key data analytics terms and concepts
- know the principles of data collection, storage and analysis methods in the context of healthcare
- knows how to use data analytics as a decision-making tool
- know the most common data management and visualization methods
- understand the meaning and uses of data in healthcare processes
Content
Key concepts: definition of healthcare data, Big Data, data visualisation, data preprocessing, data storage and its technologies, API interfaces
Data and its categories
Data processing and utilization methods
An overview of data storage technologies and APIs to utilize them
Data visualization and visual data analytics
Data analytics as part of healthcare decision-making
Assessment criteria, satisfactory (1-2)
The student
- knows how to process data
- can do data analyzes and visualizations based on examples
- knows some concepts related to data and analytics as well as some uses of data in the area of healthcare
Assessment criteria, good (3-4)
The student
- knows how to process data as needed
- can analyze and make data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of healthcare
- understand the importance of data in healthcare management processes
Assessment criteria, excellent (5)
The student
- knows how to handle data versatilely in a way that suits the context
- can analyze and make versatile data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of healthcare
- understand the importance of data in healthcare management processes
Enrolment period
27.05.2024 - 31.08.2024
Timing
01.08.2024 - 13.12.2024
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Health Technology
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Health Technology
Teachers
- Heidi Peltolehto
- Juha Ranta-Ojala
Person in charge
Juha Ranta-Ojala
Groups
-
24YTS
-
24YTL
-
24YTT
Objectives (course unit)
The objective of the course is to develop the skills to process, analyse and visualise data. The course provides the skills to utilise data in decision-making in the health care sector.
After completing the course, the student
- know the key data analytics terms and concepts
- know the principles of data collection, storage and analysis methods in the context of healthcare
- knows how to use data analytics as a decision-making tool
- know the most common data management and visualization methods
- understand the meaning and uses of data in healthcare processes
Content (course unit)
Key concepts: definition of healthcare data, Big Data, data visualisation, data preprocessing, data storage and its technologies, API interfaces
Data and its categories
Data processing and utilization methods
An overview of data storage technologies and APIs to utilize them
Data visualization and visual data analytics
Data analytics as part of healthcare decision-making
Assessment criteria, satisfactory (1-2) (course unit)
The student
- knows how to process data
- can do data analyzes and visualizations based on examples
- knows some concepts related to data and analytics as well as some uses of data in the area of healthcare
Assessment criteria, good (3-4) (course unit)
The student
- knows how to process data as needed
- can analyze and make data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of healthcare
- understand the importance of data in healthcare management processes
Assessment criteria, excellent (5) (course unit)
The student
- knows how to handle data versatilely in a way that suits the context
- can analyze and make versatile data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of healthcare
- understand the importance of data in healthcare management processes
Assessment scale
0-5