Data Analysis and Data Visualization (5 cr)

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.

Location and time

moodlessa aikataulu

Exam schedules

ei tenttiä

Assessment methods and criteria

Arvosana muodostuu oppimistehtävän perusteella.

Seuraavassa pisteet ja arvosana:

0 0
16 1
22 2
30 3
38 4
46 5

Oppimistehtävän toimeksianto julkaistaan moodlessa kurssin aikana.

Assessment scale

0-5

Teaching methods

lähiopetus, oppimistehtävä

Learning materials

moodlessa materiaali

Student workload

7*4 tuntia opetus, 105 h itsenäistä