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Data Literacy with Python

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

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>

Entry requirements

General requirements and studies equivalent to Swedish Upper Secondary School courses English 6/English level 2

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-02-03T11:37:49