Data Analytics (5 cr)

Objectives (course unit)

The aim of the course is to provide students with solid basic skills in collecting, analyzing, visualizing, and reporting data.

Upon completion of the course, student:
• Understand the basic principles and concepts of data analytics.
• Can use to utilize various tools and software for data analysis.
• Capably analyze and interpret data and make conclusions based on the results.
• Apply problem-solving skills within the context of data analytics.
• Interpret and report results and solutions clearly.

Content (course unit)

The content of the course focuses on the following general topic areas:
• Basics of data analysis.
• Collecting data from various sources.
• Analyzing data using a variety of methods.
• Visualizing data extensively using appropriate software.
• Clear interpretation of results and reporting of solutions.

Prerequisites (course unit)

No prior knowledge requirements

Assessment criteria, satisfactory (1-2) (course unit)

The student
• knows the basic principles of analysis methods.
• knows how to collect and edit data, as well as present the obtained results in a visual way.

Assessment criteria, good (3-4) (course unit)

The student
• knows how to plan the different stages of data collection and analysis.
• can evaluate the reliability of reports and analyses.

Assessment criteria, excellent (5) (course unit)

The student
• knows how to plan a variety of different data collection and analysis options.
• knows how to analyze data in a versatile way and produces several different data visualizations.
• can report the results obtained analytically.

Assessment scale

0-5