Basics of Data Science

This book covers the most basic topics of Data Science which includes data needs, description and understanding. This entails orientation into the source of data, data uniqueness, and data quality as well as methods of obtaining data and data storage. It discusses general concepts of data gathering and distinguishes between quantitative and qualitative approaches The book focuses on Web scraping, big data technologies and Data science methodologies. It also covers more topics like predictive modelling, text mining and recommender systems with examples borrowed from different domains. Even more, based on the methods’ perspective, the book covers data visualization, case analysis, and strategic uses while presenting the encompassing view of statistical and algorithmically modeling alongside the present approaches towards machine learning and deep learning. Examples of data science in practice explain actual-life experiences in different sectors such as finance, healthcare, and e-commerce.