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1. Introduction
2. Getting Started
2.1 Installation and Configuration
2.2 Data Representation
2.3 Save/Import Project and Models
3. Data Transformation
3.1 Normalizers
3.2 Data Manipulation
3.3 Split
3.4 Variable Selection
4. Analytics
4.1 Regression
4.2 Classification
4.3 Clustering
4.4 Anomaly Detection
4.5 Existing Model Utilization
5. Statistics
5.1 Applicability Domain
5.2 Model Metrics
5.3 Basic Statistics
5.4 Analysis of (Co)Variance
5.5 Probability Distribution Functions
5.6 Random Number Generator
6. DOE
6.1 Screening
6.2 Factorial
6.3 Response Surface
6.4 Space Filling
6.5 Optimal Designs
6.6 Mixtures
6.7 Robust Parameter
6.8 Post DoE Analysis
7. Plot & Business Intelligence
7.1 Relationship and Trend Charts
7.2 Comparison Charts
7.3 Distribution and Density Charts
7.4 Flow Charts
7.5 Business Intelligence
8. Knowledge Base
8.1 Machine Learning
8.2 Design of Experiments (DOE)
9. Case Studies per Industry
9.1 Pharmaceutical
9.2 Healthcare
9.3 Analytical Chemistry
9.4 Water Treatment
9.5 Food
9.6 Education
9.7 Real Estate
9.8 Banking
9.9 Automotive
9.10 Cybersecurity
9.11 Insurance
9.12 Service
9. Case Studies per Industry
9.10 Cybersecurity
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