SAP Predictive Analytics Training

COURSE DETAILS & CURRICULUM

Lesson 1: Introduction to Data Science and Predictive Analytics

·       Describing Predictive Analytics
·       Differences between Analytics, Data Mining, Data Science and Predictive Analytics
·       Differences between Descriptive, Predictive, Prescriptive Analytics
·       Explain the size of data required
·       Davenport’s 5 stages of Analytic Competition
·       Benefits of predictive analytics
·       Explain where predictive analytics is currently being used in enterprise and what the user types are
·       Understanding the basics of SAP Predictive modeling concepts
·       Data variables, Data exploration, and Data preparation
·       Data Preparation: Transforming variables, sampling, outliers, binning, missing values
·       Data Cutting strategies
·       Model performance indicators and ROC Curve
·       Predictive Power and Predictive Confidence, random model, perfect Model, lift, Confusion Matrix
·       Basic Predictive Algorithms

1.    a)     Classification - Decision Tree, Neural Network
   b)      Regression
   c)       Clustering/Segmentation
   d)      Association Rule Analysis
   e)      Outlier Analysis
   f)        Time Series Analysis
   g)       Network Analysis

• Data Requirements for each of type of algorithm

Lesson 2: Predictive Analytics tools present in market

·       Explain market trend for Predictive Analytics
·       Which organizations are the top providers of predictive analytics?
·       Understand some of the predictive analytics packages provided by SAS, SPSS, Rapid Mine, R
·       Explain where predictive Analytics is placed in market

Lesson 3: Introduction to SAP Predictive Analytics

·       Introduction to SAP predictive analytics toolkit PA 2
·       Predictive Analytics Strategy, Data Manager
·       Expert Analytics
·       R integration
·       SAP HANA - Predictive Analytics Library (PAL)
·       SAP Automated Predictive Analytics Library (APL)
·       SAP Automated Analysis
·       Traditional vs. SAP automated analysis approach
·       Predictive Analytics Project Planning - CRSIP DM, SEMMA
·       Use case and Examples

Lesson 4: Foundation of SAP Expert Analytics

·       Introductions to Expert Analytics
·       How SAP Predictive Analytics can be used with SAP BI
·       How SAP Predictive Analytics can be used with Big Data
·       A demo for Expert Analytics
·       Exercise: Forecast and visualization for time series data
·       Data exploration, Data Manipulation, Data visualization
·       A demo for data management
·       Retail Analysis, Store Analysis
·       Predictive Modeling with Expert Analysis
·       A demo for some of the Algorithms used in the Predictive Analysis tool
·       Combining Algorithms
·       Model Statistics and compare
·       Model Accuracy and Generalization
·       Analysis Bank Customer with segmentation
·       Integration of Expert Analysis with custom R code
·       Using SAP HANA as the source for Expert Analytics

Lesson 5: Foundation of SAP Automated Analytics

·       Explain SAP Automated Analytics
·       Understanding Foundations and data cutting strategy
·       Understanding Data encoding and data preparation
·       Describe model building methodology for Automated Analytics

Lesson 6: Classification Modeling with SAP Automated Analytics

·       Understanding Classification Modeling with SAP Automated Analytics
·       Understanding Classification Model Output
·       Understanding the Confusion Matrix
·       Applying a Data Model
·       Improving Predictive Power and Prediction Confidence
·       Reducing the number of variables
·       Data Deviation Testing and perform data deviation on data with target and without target
·       Advanced functionalities like gain chart etc.
·       Understanding Advanced Data Description Functionality - Composite variables and Geolocation tiles

Lesson 7: Regression Modeling with SAP Automated Analytics

·       Understanding Regression Modeling with SAP Automated Analytics

Lesson 8: Clustering with SAP Automated Analytics

·       Introducing Cluster Analysis and Segmentation
·       Understanding Options - Target or No Target
·       Differentiate between supervised and unsupervised segmentation
·       Understanding Cluster Range
·       Understanding Model Debriefing - Cluster profiles
·       Applying the Segmentation Model option
·       Describing Segmented Models - Classification and Regression

Lesson 9: Time Series with SAP Automated Analytics

·       Describing Time Series with SAP Automated Analytics
·       Train a time series model

Lesson 10: SAP Data Manager

·       Introducing SAP Data Manager for data preparation
·       Understanding Data Manipulation functionality
·       Understanding the Data Manager benefits and process

Lesson 11: SAP Predictive Factory

·       Introducing SAP Predictive Factory
·       Completing setup, understanding architecture and roles
·       Importing Models
·       Model scheduling functionality
·       Understanding time series segmented model

Lesson 12: Social and Recommendations Functionality

·       Understanding the Social Functionality
·       Understanding the Recommendations Functionality and create a retail recommendation analysis

Lesson 13: SAP Predictive Analytics Expert

·       Describe SAP Predictive Analytics Expert and Predictive Analysis Library (PAL)