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Topic 3.8 of Data Collection and Analysis Methods

Tools for Data Analysis: SPSS, R, Python, Excel, and Jupyter

SPSS, R, Python, Excel, and Jupyter compared for security research, a worked paired t-test in Python using scipy, and why a methodology section must name the exact tool and function used, not just the test.

~20 min total·4 quadrants of structured content

By the end of this topic, you will

Compare SPSS, R, Python, Excel, and Jupyter for statistical analysis in security research
Read and explain a scipy.stats.ttest_rel call applied to two classifiers' accuracy scores
Explain why a methodology section must name the exact software version and function used

Quadrant 1 · e-Tutorial

Video lectures and walkthroughs

Quadrant 2 · e-Content

Articles and case studies

research-methodology

Tools for Data Analysis: SPSS, R, Python, Excel, and Jupyter

The choice of software rarely changes what a test does -- it changes how quickly and how reproducibly the work gets done. A worked paired t-test in Python, and why "we ran a t-test" is not enough for a methodology section.

9 min read

Quadrant 3 · Web Resources

Downloadable material and curated external links

Web resources coming soon.

Quadrant 4 · Self-Assessment

Test your knowledge — earn a certificate on first pass

Assessment coming soon.