DAT260 Foundational Data Analysis Techniques: Module One Laboratory Exercises, Study Guides, Projects, Research of Computer Science

This laboratory report documents the completion of Module One lab exercises for Southern New Hampshire University's DAT260 course. The report demonstrates foundational competencies in data analysis, including introductory statistical concepts, data manipulation techniques, and initial exploration of analytical tools and methodologies essential for further study in data analytics.

Typology: Study Guides, Projects, Research

2025/2026

Available from 03/07/2026

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LAB 1.2.1 Interacting with the Python Shell
1.3.3 Reading Data from a CSV File
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 LAB 1.2.1 – Interacting with the Python Shell

 1.3.3 – Reading Data from a CSV File

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 1.2.2 – Grouping a DataFrame

 1.3.1 – Applying a Function to a Column

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 1.5.1 – Viewing the Standard Deviation

 1.5.3 – Calculating the Mean Value (1.5.2)

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