Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the
R for Data Science: Learn and explore the fundamentals of data science with R
โ Scribed by Dan Toomey
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 364
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands. The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide variety of data sources and evaluates this data using existing publicly available R functions and packages. In many cases, the resultant data can be displayed in a graphical form that is more intuitively understood. You will also learn about the often needed and frequently used analysis techniques in the industry. By the end of the book, you will know how to go about adopting a range of data science techniques with R.
๐ SIMILAR VOLUMES
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the
<span>Data Science Fundamentals with R, Python, and Open Data</span><p><span>Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects</span></p><p><span>Organized with a strong focus on open data, </span><span>Data Science Fundamenta
<span>Data Science Fundamentals with R, Python, and Open Data</span><p><span>Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects</span></p><p><span>Organized with a strong focus on open data, </span><span>Data Science Fundamenta
<span>Data Science Fundamentals with R, Python, and Open Data</span><p><span>Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects</span></p><p><span>Organized with a strong focus on open data, </span><span>Data Science Fundamenta
<h4>Key Features</h4><ul><li>Quickly get familiar with data science using Python</li><li>Save time - and effort - with all the essential tools explained</li><li>Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience</li></ul><h4>Bo