Practical Data Analysis - Second Edition

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark

Practical Data Analysis - Second Edition

Hector Cuesta, Dr. Sampath Kumar

2 customer reviews
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark
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Book Details

ISBN 139781785289712
Paperback338 pages

Book 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.

Table of Contents

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

Authors

Table of Contents

Book Details

ISBN 139781785289712
Paperback338 pages
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