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Lund University
Data Literacy with Python
<p>The course gives you with fundamental tools for data handling and visualization in Python, as well as essential tools for reproducible data analysis.</p><p>The course gives you fundamental skills in data handling using Python. The focus is on exploratory data analysis, leveraging visualizations and data summarie…
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 25 %
Overview
<p>The course gives you with fundamental tools for data handling and visualization in Python, as well as essential tools for reproducible data analysis.</p><p>The course gives you fundamental skills in data handling using Python. The focus is on exploratory data analysis, leveraging visualizations and data summaries to extract insights from datasets. Additionally, the course covers data cleaning, transformations, and merging data from multiple sources.</p> <p>These competences are developed through the hands-on development of data analysis scripts in an interactive environment. The course emphasizes literate programming, which teach you about reproducibility and highlights the importance of well-documented data analysis that can be shared with others.</p> <p>At the end of the course, you develop a deeper understanding of virtual environments in Python and the concept of reproducibility. This enhances the reliability of conclusions drawn from data analysis.</p>
Admission scores
Entry requirements
General requirements and studies equivalent to Swedish Upper Secondary School courses English 6/English level 2
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.mnxb07.13306.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
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Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.mnxb07.13306.20262
- Offering identity in the source
- e.uoh.lu.mnxb07.13306.20262
- Education-form source code
- HS
- Education code in the source
- MNXB07
- Change time according to the source
- 2026-02-03T11:37:49
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.