Predictive Analytics For Dummies
You don't need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in.
Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away!
- Offers common use cases to help you get started
- Covers details on modeling, k-means clustering, and more
- Includes information on structuring your data
- Provides tips on outlining business goals and approaches
The future starts today with the help of Predictive Analytics For Dummies.
Keywords: Predictive Analytics For Dummies; Anasse Bari; Mohamed Chaouchi; Tommy Jung; predictive analytics; predictive analysis; the core of predictive analytics; incorporate algorithms through data models; identify similarities and relationships in your data; predict the future through data classification; data classification; building a predictive model; modeling; k-means clustering; predictive analytics book; book on predictive analytics
- Bari, Anasse
- Chaouchi, Mohamed
- Jung, Tommy
- John Wiley and Sons, Inc.
- Publication year
- Page amount
- 456 pages
- eISBN (ePUB)
- Printed ISBN