Predictive Analytics For Dummies
Bari
ISBN:
978-1-118-72896-3
Paperback
360 pages
April 2014
This is an out of Print Title.
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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