Principles of Data Science: Mathematical techniques and theory to succeed in data-driven industries

$48.99

3.9 (8 Ratings)

Paperback Dec 2016 388 pages 1st Edition

$48.99

Paperback Dec 2016 388 pages 1st Edition

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Key benefits

Enhance your knowledge of coding with data science theory for practical insight into data science and analysis
More than just a math class, learn how to perform real-world data science tasks with R and Python
Create actionable insights and transform raw data into tangible value

Description

Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.

Who is this book for?

You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you.

What you will learn

Get to know the five most important steps of data science
Use your data intelligently and learn how to handle it with care
Bridge the gap between mathematics and programming
Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results
Build and evaluate baseline machine learning models
Explore the most effective metrics to determine the success of your machine learning models
Create data visualizations that communicate actionable insights
Read and apply machine learning concepts to your problems and make actual predictions

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Download this book in EPUB and PDF formats

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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Amazon verified reviews

Amazon Customer Jan 06, 2017

I was lucky to attend classroom Data Science course with Sinan Ozdemir. Sinan is very good at explain really complex mathematical concepts in a very approachable and everyday terms. This really helps people like myself who aren't in touch with theoretical mathematics. This book is written in the same tone that Sinan delivers lectures and that is very valuable in absorbing the complex concepts delivered in this book. The examples and datasets are carefully chosen to deliver specific concepts provide reference for future use. I would recommend this book to anybody with or without formal training in statistics but would like to pick up on the breadth of Data Science. I would also recommend this book to Data Science instructors as an ideal for organization and flow of training on Data Science. This book is the best Data Science book on the market that can introduce you to the world of Data Science and prepare you for interviews.

Amazon Verified review

Dr Rashmi Yogendra Dhote Jul 09, 2019

The quality of the product I ordered is up to the mark

willmidwest Jan 19, 2019

Preparing to enter an advanced degree program. This book is Foundational to beginning that journey!

Suresh Deshpande Sep 20, 2017

Wonderful big with simple explanation

Amazon Customer Aug 05, 2020

Author really has grip on mathematical tools applied for data analytics. Good books for folks like me who did not consider mathematics seriously in engineering

Principles of Data Science: Mathematical techniques and theory to succeed in data-driven industries

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