Smart Data Discovery Using SAS Viya

Table of contents

1. Contents
2. Preface
3. About This Book
4. About The Author
5. Acknowledgments
6. Chapter 1: Why Smart Data Discovery?
   1. Introduction
   2. Why Smart Data Discovery Now?
   3. Who Is This Book For?
   4. Chapter Overview
7. Chapter 2: The Role of The Citizen Data Scientist
   1. The Rise of the Citizen Data Scientist
   2. Accelerate the Analytics Life Cycle
   3. Communicate and Collaborate
8. Chapter 3: SAS Visual Analytics Overview
   1. Introduction
   2. The User Interface
   3. Experiment and Explore
   4. Sharing and Collaboration
9. Chapter 4: Data Preparation
   1. Introduction
   2. Importing and Profiling Your Data
   3. Data Transformation
   4. Get Your Data Right During Exploration
10. Chapter 5: Beyond Basic Visualizations
    1. Introduction
    2. Histogram
    3. Box Plot
    4. Scatter Plot and Heat Map
    5. Bubble Plot
11. Chapter 6: Understand Relationships Using Correlation Analysis
    1. Introduction
    2. Correlation and Causation
    3. Correlation Matrix
    4. Scatter Plot and Fit Line
12. Chapter 7: Machine Learning and Visual Modeling
    1. Introduction
    2. Approaches and Techniques
    3. Preparing the Data for Modeling
    4. Model Assessment
    5. Improving Your Model
    6. Using Your Model
13. Chapter 8: Predictive Modeling Using Decision Trees
    1. Overview
    2. Model Building and Assessment
    3. Tuning and Improving the Model
14. Chapter 9: Predictive Modeling Using Linear Regression
    1. Overview
    2. Model Building and Assessment
    3. Tuning and Improving the Model
15. Chapter 10: Bring It All Together
    1. Combine and Experiment
    2. Share and Communicate
    3. Production and Deployment
    4. Where to Go from Here