30/01/2026
Data analytics today is not about tools alone, it is about asking the right questions of data and interpreting results with rigour.
This edition of Data Analytics Using Python grounds learners in analytical thinking while building strong foundations in Python-based data analysis. It balances conceptual clarity with applied practice, making it suitable for undergraduate and postgraduate programs alike.
For faculty designing analytics, data science, or interdisciplinary STEM curriculum, this book supports a shift from procedural learning to evidence-based reasoning and decision-making.
A strong academic resource for data-driven disciplines.
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