Predictive Analytics using Rattle and Qlik Sense
- Length: 174 pages
- Edition: 1
- Language: English
- Publisher: Packt Publishing
- Publication Date: 2015-06-29
- ISBN-10: 1784395803
- ISBN-13: 9781784395803
- Sales Rank: #2219383 (See Top 100 Books)
Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense
About This Book
- Create visualizations, dashboards, and data applications with Qlik Sense and Rattle
- Load, explore, and manipulate data to Rattle to create predictions and discover hidden patterns in the data
- A step-by-step guide to learning predictive analytics in a quick and easy way
Who This Book Is For
If you are a business analyst who wants to understand how to improve your data analysis and how to apply predictive analytics, then this book is ideal for you. This book assumes you have some basic knowledge of statistics and a spreadsheet editor such as Excel, but knowledge of QlikView is not required.
In Detail
Qlik Sense Desktop, the personal and free version of Qlik Sense, is a powerful tool for business analysts to analyze data and create useful data applications. Rattle, developed in R, is a GUI used for data mining and complements Qlik Sense Desktop very well. By combining Rattle and Qlik Sense Desktop, a business user can learn how to apply predictive analytics to create real-world data applications. The objective is to use Qlik Sense to analyze data and complement it with predictive analytics using Rattle.
This book will introduce you to basic predictive analysis techniques using Rattle and basic data visualizations concepts using Qlik Sense Desktop. You will start by setting up Qlik Sense Desktop, R, and Rattle and learn the basic of these tools. Then this book will examine the data and make it ready to be analyzed. After that, you will get to know the key concepts of predictive analytics, by building simple models with Rattle and creating visualizations with Qlik Sense Desktop. Finally, the book will show you the basics of data visualization and will help you to create your first data application and dashboard.
Table of Contents
Chapter 1. Getting Ready with Predictive Analytics
Chapter 2. Preparing Your Data
Chapter 3. Exploring and Understanding Your Data
Chapter 4. Creating Your First Qlik Sense Application
Chapter 5. Clustering and Other Unsupervised Learning Methods
Chapter 6. Decision Trees and Other Supervised Learning Methods
Chapter 7. Model Evaluation
Chapter 8. Visualizations, Data Applications, Dashboards, and Data Storytelling
Chapter 9. Developing a Complete Application
