This book provides a concise and practical introduction to the methods used for collecting, processing, analysing, and interpreting data. It covers data preprocessing, exploratory data analysis, statistical techniques, visualization, predictive modelling, and essential machine learning approaches. Designed for undergraduate and postgraduate students, it helps learners understand how analytical methods can be applied to real-world datasets for meaningful insights and informed decision-making.