Pre-PhD Certificate Course in Rank-Based Data Science

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Pre-PhD Certificate Course in Rank-Based Data Science

The programme can prepare PhD aspirants to work with ordinal, preference, and non-parametric data, which are very common in social science research. It can also help students who have limited statistical backgrounds become comfortable with data analysis before starting their doctoral research.


1.Foundations of Rank-Based Data
Measurement scales
Ordinal data and ranking techniques
Research applications
2.Data Management and Visualization
Data entry and coding in Excel/R
Graphical representation
Data cleaning
3.Rank-Based Statistical Techniques
Spearman's rank correlation
Kendall's Tau and Kendall's W
Mann–Whitney U, Wilcoxon, Kruskal–Wallis, Friedman test
4.Scale Construction and Preference Analysis
Paired comparison
Rank-order scales
Preference and attitude measurement
5.Advanced Topics
Correspondence analysis
Multidimensional scaling
Cluster analysis using rank data.
6.Research Applications
Formulating research problems
Interpretation and report writing
Thesis and publication preparation.

Such a programme aligns well with doctoral research because many PhD studies in social and behavioural sciences rely on ordinal scales, rankings, and non-parametric methods. A certificate or internship model with hands-on analysis of real datasets could further enhance its usefulness.



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