Data Analytics Concepts: From Foundations to Exploratory Data Analysis with Python

Data Analytics Concepts: From Foundations to Exploratory Data Analysis with Python provides a systematic introduction to analytical thinking and practical data analysis. Designed for students, beginners, researchers, teachers and professionals, the book progresses from foundational concepts to hands-on Python applications. It introduces descriptive, diagnostic, predictive and prescriptive analytics, followed by data sources, big data, data quality and governance. The Python sections cover installation, programming environments, variables, data types, control flow, functions, NumPy and Pandas. Runnable examples help readers develop skills in importing, cleaning and manipulating datasets. The concluding chapter explores univariate, bivariate and multivariate analysis, frequency distributions, measures of dispersion, skewness and kurtosis. Diagrams, formula tables and chapter exercises reinforce understanding throughout. Combining conceptual clarity with practical learning, this book helps readers examine datasets, ask meaningful questions and build a foundation for further study in data analytics.