Data Literacy with Python
Lund University
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Pace of study: 25 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: MNXB07
<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>
General requirements and studies equivalent to Swedish Upper Secondary School courses English 6/English level 2
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Lund University
Start date:
End date:
Pace of study: 25 %
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Published: .
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Last changed according to the source: 2026-02-03T11:37:49