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PAII10SAP Predictive Analytics
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COURSE OUTLINE.
Course Version:Course Duration: 5 Day(s)
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Contents
vii Course Overview
1 Unit 1: Introduction to Predictive Analytics
1 Lesson: Introducing Predictive Analytics1 Lesson: Understanding SAP Predictive Analytics1 Lesson: Describing Use Cases
3 Unit 2: Foundations of SAP Automated Analytics
3 Lesson: Introducing SAP Automated Analytics3 Lesson: Understanding Foundations3 Lesson: Understanding Data Encoding3 Lesson: Understanding Model Building
5 Unit 3: Classification Modeling with SAP Automated Analytics
5 Lesson: Understanding Classification Modeling with SAP Automated Analytics
5 Lesson: Understanding Classification Model Output5 Lesson: Understanding the Confusion Matrix5 Lesson: Applying a Model5 Lesson: Improving Predictive Power and Prediction Confidence5 Lesson: Reducing the Number of Variables6 Lesson: Understanding Data Deviation Testing6 Lesson: Describing Advanced Functionality6 Lesson: Understanding Advanced Data Description Functionality
7 Unit 4: Regression Modeling with SAP Automated Analytics
7 Lesson: Understanding Regression Modeling with SAP Automated Analytics
9 Unit 5: Clustering with SAP Automated Analytics
9 Lesson: Introducing Cluster Analysis9 Lesson: Understanding Options: Target Or No Target9 Lesson: Understanding Cluster Range9 Lesson: Understanding Model Debriefing9 Lesson: Applying the Model9 Lesson: Describing Segmented Models
11 Unit 6: Time Series with SAP Automated Analytics
11 Lesson: Describing Time Series with SAP Automated Analytics
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13 Unit 7: SAP Data Manager
13 Lesson: Introducing SAP Data Manager13 Lesson: Understanding Data Manipulation13 Lesson: Using SAP Data Manager
15 Unit 8: SAP Predictive Factory
15 Lesson: Introducing SAP Predictive Factory15 Lesson: Completing Setup15 Lesson: Importing Models15 Lesson: Creating and Scheduling Tasks15 Lesson: Understanding Segmented Modeling
17 Unit 9: Social and Recommendations Functionality
17 Lesson: Understanding the Social Functionality17 Lesson: Understanding the Recommendations Functionality
19 Unit 10: SAP Predictive Analytics Expert
19 Lesson: Understanding SAP Predictive Analytics Expert
21 Unit 11: SAP Cloud Platform Predictive Services
21 Lesson: Describing SAP Cloud Platform Predictive Services
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Course Overview
TARGET AUDIENCEThis course is intended for the following audiences:
● Application Consultant
● Technology Consultant
● Super / Key / Power User
● System Administrator
● Technology Consultant
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viii © Copyright. All rights reserved.
UNIT 1 Introduction to Predictive Analytics
Lesson 1: Introducing Predictive AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe predictive analytics
Lesson 2: Understanding SAP Predictive AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe SAP Predictive Analytics
Lesson 3: Describing Use CasesLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe use cases
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Unit 1: Introduction to Predictive Analytics
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UNIT 2 Foundations of SAP Automated Analytics
Lesson 1: Introducing SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain SAP Automated Analytics
Lesson 2: Understanding FoundationsLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain data cutting strategy
Lesson 3: Understanding Data EncodingLesson ObjectivesAfter completing this lesson, you will be able to:
● Prepare data
Lesson 4: Understanding Model BuildingLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe model building methodology for Automated Analytics
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Unit 2: Foundations of SAP Automated Analytics
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UNIT 3 Classification Modeling with SAP Automated Analytics
Lesson 1: Understanding Classification Modeling with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Create a classification model
Lesson 2: Understanding Classification Model OutputLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain classification model output
Lesson 3: Understanding the Confusion MatrixLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain the confusion matrix
Lesson 4: Applying a ModelLesson ObjectivesAfter completing this lesson, you will be able to:
● Apply a model
Lesson 5: Improving Predictive Power and Prediction ConfidenceLesson ObjectivesAfter completing this lesson, you will be able to:
● Improve predictive power and prediction confidence
Lesson 6: Reducing the Number of Variables
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Lesson ObjectivesAfter completing this lesson, you will be able to:
● Reduce the number of variables
Lesson 7: Understanding Data Deviation TestingLesson ObjectivesAfter completing this lesson, you will be able to:
● Perform data deviation on data with target and without target
Lesson 8: Describing Advanced FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:
● Use gain chart and advanced functionality
Lesson 9: Understanding Advanced Data Description FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:
● Use composite variables and geolocation tiles
Unit 3: Classification Modeling with SAP Automated Analytics
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UNIT 4 Regression Modeling with SAP Automated Analytics
Lesson 1: Understanding Regression Modeling with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Build a regression model
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Unit 4: Regression Modeling with SAP Automated Analytics
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UNIT 5 Clustering with SAP Automated Analytics
Lesson 1: Introducing Cluster AnalysisLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe clustering and segmentation
Lesson 2: Understanding Options: Target Or No TargetLesson ObjectivesAfter completing this lesson, you will be able to:
● Differentiate between supervised and unsupervised segmentation
Lesson 3: Understanding Cluster RangeLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain cluster range
Lesson 4: Understanding Model DebriefingLesson ObjectivesAfter completing this lesson, you will be able to:
● Understand cluster profiles
Lesson 5: Applying the ModelLesson ObjectivesAfter completing this lesson, you will be able to:
● Apply segmentation model options
Lesson 6: Describing Segmented ModelsLesson Objectives
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After completing this lesson, you will be able to:
● Improve classification and regression models with segmentation
Unit 5: Clustering with SAP Automated Analytics
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UNIT 6 Time Series with SAP Automated Analytics
Lesson 1: Describing Time Series with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:
● Train a time series
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Unit 6: Time Series with SAP Automated Analytics
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UNIT 7 SAP Data Manager
Lesson 1: Introducing SAP Data ManagerLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe data preperation and SAP Data Manager
Lesson 2: Understanding Data ManipulationLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain data manipulation functionality
Lesson 3: Using SAP Data ManagerLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain the Data Manager benefits and process
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Unit 7: SAP Data Manager
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UNIT 8 SAP Predictive Factory
Lesson 1: Introducing SAP Predictive FactoryLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain Predictive Factory
Lesson 2: Completing SetupLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe architecture and roles
Lesson 3: Importing ModelsLesson ObjectivesAfter completing this lesson, you will be able to:
● Import models
Lesson 4: Creating and Scheduling TasksLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain model scheduling functionality
Lesson 5: Understanding Segmented ModelingLesson ObjectivesAfter completing this lesson, you will be able to:
● Explain time series segmented model
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Unit 8: SAP Predictive Factory
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UNIT 9 Social and Recommendations Functionality
Lesson 1: Understanding the Social FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:
● Build a Social model
Lesson 2: Understanding the Recommendations FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:
● Create a retail recommendation analysis
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Unit 9: Social and Recommendations Functionality
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UNIT 10 SAP Predictive Analytics Expert
Lesson 1: Understanding SAP Predictive Analytics ExpertLesson ObjectivesAfter completing this lesson, you will be able to:
● Describe SAP Predictive Analytics Expert and Predictive Analysis Library (PAL)
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Unit 10: SAP Predictive Analytics Expert
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UNIT 11 SAP Cloud Platform Predictive Services
Lesson 1: Describing SAP Cloud Platform Predictive ServicesLesson ObjectivesAfter completing this lesson, you will be able to:
● Use Data Manager on a large data set, build an Analytic Data Set (ADS), build a classification model, and productionize it in Predictive Factory
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