Predictive Analytics For Dummies
By Anasse Bari, Mohamed Chaouchi, Tommy Jung
Publisher: Wiley / For Dummies
Final Release Date: March 2014
Pages: 360

Learn to:

  • Analyze structured and unstructured data
  • Use algorithms and data analysis techniques
  • Build clustering, classification and statistical models
  • Apply predictive analytics to your website and marketing efforts

A practical guide to using Big Data and technology to discover real-world insights

Predict the future! Data is growing exponentially and predictive analytics is your organization’s key to making use of it to create a competitive advantage. This comprehensive resource will help you define real-world projects and takes a step-by-step approach to the technical aspects of predictive analytics so you can get up and running right away.

  • Enter the arena — jump into predictive analytics by discovering how data can translate to a competitive advantage
  • Incorporating algorithms — discover data models, how to identify similarities and relationships, and how to predict the future through data classification
  • Developing a roadmap — prepare your data, create goals, structure and process your data, and build a predictive model that will get stakeholder buy-in
  • Programming predictive analytics — use in-depth tips to install software, modules, and libraries to get going with prediction models
  • Making predictive analytics work — gain an understanding of the typical pushback on predictive analytics adoption and how to overcome it

Open the book and find:

  • Real-world tips for creating business value
  • Common use cases to help you get started
  • Details on modeling, k-means clustering, and more
  • How you can predict the future with classification
  • Information on structuring your data
  • Methods for testing models
  • Hands-on guides to software installation
  • Tips on outlining business goals and approaches
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Ebook: $29.99
Formats:  PDF