Practical Data Analysis: Pandas, MongoDB, Apache Spark, and more , Second Edition

Dr. Sampath Kumar

Cuesta

€41.99

3.5 (2 Ratings)

Paperback Sep 2016 338 pages 2nd Edition

Dr. Sampath Kumar

Cuesta

€41.99

3.5 (2 Ratings)

Paperback Sep 2016 338 pages 2nd Edition

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Key benefits

Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data
Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images
A hands-on guide to understanding the nature of data and how to turn it into insight

Description

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.

Who is this book for?

This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed.

What you will learn

Acquire, format, and visualize your data
Build an image-similarity search engine
Generate meaningful visualizations anyone can understand
Get started with analyzing social network graphs
Find out how to implement sentiment text analysis
Install data analysis tools such as Pandas, MongoDB, and Apache Spark
Get to grips with Apache Spark
Implement machine learning algorithms such as classification or forecasting

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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

Jose Arturo Mora Soto Feb 10, 2018

Becoming a data scientist is not trivial, definitely one of the firts steps is to learn how to manipulate data to obtain initial insights, I found this book a great source to start handling data with python, I really recommend this book but be aware that in order to have a better understanding you should need previous experience with python.

Amazon Verified review

Amazon Customer Oct 21, 2017

The authors may be experts in data analysis but they are not doing a good job of explaining it. If you are new to data analysis, this book will get you totally confused.

Practical Data Analysis: Pandas, MongoDB, Apache Spark, and more , Second Edition

What do you get with Print?