An Introduction to Data Science
โ Scribed by Jeffrey S. Saltz, Jeffrey M. Stanton
- Publisher
- SAGE Publications, Inc
- Year
- 2017
- Tongue
- English
- Leaves
- 288
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
An Introduction to Data Scienceย by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudioยฎ platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualize data.
โฆ Subjects
Statistics;Education & Reference;Business & Money;Mathematical & Statistical;Software;Computers & Technology;Programming Languages;Ada;Ajax;Assembly Language Programming;Borland Delphi;C & C++;C#;CSS;Compiler Design;Compilers;DHTML;Debugging;Delphi;Fortran;Java;Lisp;Perl;Prolog;Python;RPG;Ruby;Swift;Visual Basic;XHTML;XML;XSL;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Statistics;Applied;Mathematics;Science & Math;Research;Social Sciences;Politics & Social
๐ SIMILAR VOLUMES
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and Machine Learning. These topics are presented in a c
Data Science is an emerging discipline which emphasizes the cultivation of Big Data talents with interdisciplinary ability. The book systematically introduces the basic contents of Data Science, including data preprocessing and basic methods of data analysis, handling special problems (e.g. text ana