Getting Started with Data Analysis - A beginner's guide to data analysis using Py...

This hands-on practical guide is your one-stop solution to getting started in the field of data analysis. This book dives deep into the methods and techniques adopted while processing large scale datasets. A simple and direct approach is followed with sufficient code examples to develop conceptual clarity. This book can independently help you get started in the field of data analysis. Moreover, this book suggests learning paths and lays out the differences between commonly confused professions like data scientists, data analysts, data engineers etc. This work, however, helps you develop a great understanding of all the required concepts required to analyse data and thus acts as a gentle introduction to the domain.

The book does a great job in connecting theory with code. It helps the reader to practically implement all the concepts in code. Moreover, the book contains tutorials on all the popular Python libraries like numpy, pandas, scikit-learn and many more. This book tries to break down the popular jargons and technical definitions into much more understandable concepts thus increasing the readability.

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