About
the book:
The book contains
information not established in traditional statistical, R Programming, or
computer science textbooks. The book takes one through basic statistics
concepts and basic programming skills and in my view this is the most important
information you will need for a career in data science. The book shows how data
science is distinct from related fields and the value it brings to
organizations using big data.
This book has three components: 1.
An overview of what data science is and how it relates to other disciplines 2.
Technical applications of the machine learning algorithms to discover and
predict 3.
Practical R Programming to practice for practicing and aspiring data scientists
using R Package.
What This Book
Covers:
The books explains
why Data science is important taking relevant examples from different domains
and explains statistical concepts and machine learning concepts. Then using
basic statistical and mathematical concepts
an approach is taken to input basic command in R to gets hands on
experience with using the R programming Package for practical understanding.
Another important part is case studies. Some have a statistical/machine
learning flair, some have more of a business/decision science or operations
research flair, and some have more of a data engineering flair.
“The book serves as
a good introductory frame work for data science. It covers the basic concepts
related to data science in a simple and lucid manner that will help the reader
absorb the concepts easily. The reader can also practice the examples using R.
Presentation of basic R commands will help the reader to start experimenting
with R. Overall the book presents a good introduction to data science and its
applications.”
Dr. D. V. Srinivas Kumar,
Assisstant Professor,
School of Management Studies,
University of Hyderabad. |
(www.ulektz.com) 
