| IT00ED49 | Data Analysis and Visualisation (5 cr) |
| Prerequisites | IT00ED34 Programming Basics or equivalent knowledge and skills |
| Objectives | I understand the importance of data and data analysis in business, I can read and interpret data. I know the basics of statistical data analysis and know the key tools. I use local tools and cloud services fluently. I understand and work on the concepts of open data and big data. I know the most common visualization tools used locally and in the cloud, and I use fluently selected visualization tools and a wide range of data sources. |
| Content | - Data literacy - Data analytics programming languages and libraries - Open data, big data - Data visualization |
| Recommended optional programme components | If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan. |
| Accomplishment methods | Described in implementation plan |
| Execution methods | Described in implementation plan |
| Materials | Materials can be found on learning platform. |
| Literature | Not applicable |
| Evaluation Criteria | 0-5 |
| Evaluation Criteria |
satisfactory (1-2) I know the fundamentals of data analysis and can collect, process, and store data, use analysis tools and construct simple data visualizations. good (3-4) I know how to manage, process and store data from various sources. I can improve analysis tools and construct various visualizations. excellent (5) I construct automatic data processing pipeline, custom analysis tools, and state-of-the-art visualizations. |
| Assessment Frameworks | Not applicable |
| Further Information | No additional information |
| Responsible persons | Not applicable |
| Links | Not applicable |