Pushpender Sarao Data Science and Visualization: Lecture Notes and Laboratory Manual - عبر الانترنت تحميل

Data Visualizations is the subset of Data Science. This book focuses on using the python programming language in Google colab and Kaggle to perform data manipulation and cleaning, create effective visualization, and extract insights from data using classification, regression, clustering and interface. Data science and data visualization are not two different entities. They are bound to each other. Data visualization is a subset of data science. Data science is not a single process or a method or any workflow. It is a combined effect of small miniatures dealing with the data. Data science comprises of multiple statistical solutions in solving a problem whereas visualization is a technique where data scientist use it to analyse the data and represent it the endpoint. This book will introduce how data is converted into visuals for better interpretation using the python programming language.Basic concepts of data modelling are also covered with simple data visualization steps. This book will serve as a basic platform for the beginners who want to start their career in data science and visualization. Book is partitioned into two parts: first part covers the introduction of python concepts, python libraries, and data visualization tools. Second part covers the laboratory manual for data science and visualization. Laboratory manual contains ten experiments; covering the data cleaning, feature engineering, data visualization, clustering, and modelling. Especially this book will cover: • Python libraries for data visualization • Tools used for data visualization • Feature Engineering