Getting Started with RStudio: Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open-source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio and hands-on instructions for analyzing data, generating reports, and developing R software packages. The open-source RStudio … Read more
Programming Python Mark Lutz explores ways to apply the Python programming language in common application domains and realistically scaled tasks. It’s about what you can do with the language once you’ve mastered its fundamentals. This book assumes you are relatively new to each of the application domains it covers GUIs, the Internet, databases, systems programming, … Read more
Learning RStudio for R Statistical Computing will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn package development, coding principles, and version control with RStudio. This book will help you to learn and understand RStudio features to … Read more
Poor Economics is by two MIT economists, Abhijit Vinayak Banerjee and Esther Duflo. Their life’s work is travelling to poor countries, looking closely at what works and what doesn’t work in efforts to fight hunger and disease, improve education, and broaden access to basic financial services. The authors are directors of J-PAL, an MIT poverty action lab … Read more
Machine learning, at its core, is concerned with algorithms that transform information into actionable intelligence. This fact makes machine learning well-suited to the present-day era of Big Data. Without machine learning, it would be nearly impossible to keep up with the massive stream of information. Given the growing prominence of R a cross-platform, zero-cost statistical … Read more
This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set … Read more
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field’s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences … Read more
Learn Text Mining with R: If you work in analytics or data science, as we do, you are familiar with data being generated all the time at ever faster rates. (You may even be a little weary of people pontificating about this fact.) Analysts are often trained to handle tabular or rectangular data that is … Read more
R makes it easy to work with and learn from data. It also happens to be a programming language, but if you’re reading this, that might not be of interest. That’s OK the goal here is not to teach programming. The goal is to teach you just enough R to be confident to explore your data. This … Read more
Python Crash Course By Eric Matthes: The goal of this book is to bring you up to speed with Python as quickly as possible so you can build programs that work games, data visualizations, and web applications while developing a foundation in programming that will serve you well for the rest of your life. Python … Read more