DSC200. Delivering an SAP Data Science Project COURSE OUTLINE. Course Version: 2 Course Duration: 2 Day(s)

DSC200 Delivering an SAP Data Science Project. COURSE OUTLINE Course Version: 2 Course Duration: 2 Day(s)

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Typographic Conventions American English is the standard used in this handbook. The following typographic conventions are also used. This information is displayed in the instructor s presentation Demonstration Procedure Warning or Caution Hint Related or Additional Information Facilitated Discussion User interface control Example text Window title Example text iv Copyright. All rights reserved.

Contents vii Course Overview 1 Unit 1: Introduction 1 Lesson: Introduction 3 Unit 2: CRISP-DM Introduction 3 Lesson: CRISP-DM Introduction 5 Unit 3: Business Understanding 5 Lesson: Business Understanding Phase 5 Lesson: Design Thinking 7 Unit 4: Data Understanding 7 Lesson: Data Understanding Phase 7 Lesson: Initial Data Analysis and Exploratory Data Analysis 7 Lesson: SAP Lumira 9 Unit 5: Data Preparation 9 Lesson: Data Preparation Phase 9 Lesson: Data Preparation Expert Analytics 9 Lesson: Automating Data Preparation 9 Lesson: Creating Dynamic Data Sets 11 Unit 6: Modeling 11 Lesson: Modeling Phase 11 Lesson: SAP Predictive Analytics Autmoated 11 Lesson: Automated Data Encoding 11 Lesson: Building Models Automatically 11 Lesson: Social and Recommendation 11 Lesson: SAP Predictive Analytics Expert 12 Lesson: PAL/APL 12 Lesson: Model Quality 13 Unit 7: Evaluation 13 Lesson: Introduction to Evaluation 15 Unit 8: Deployment 15 Lesson: Deployment Phase 15 Lesson: SAP Predictive Factory Copyright. All rights reserved. v

Course Overview TARGET AUDIENCE This course is intended for the following audiences: Application Consultant Business Process Owner/Team Lead/Power User Program/Project Manager Copyright. All rights reserved. vii

UNIT 3 Business Understanding Lesson 1: Business Understanding Phase Explain the business understadning phase Lesson 2: Design Thinking Explain how design thinking can support business understanding phase Copyright. All rights reserved. 5

UNIT 4 Data Understanding Lesson 1: Data Understanding Phase Explain data understanding phase Lesson 2: Initial Data Analysis and Exploratory Data Analysis Explain Initial Data Analysis and Exploratory Data Analysis Lesson 3: SAP Lumira Describe how to use SAP Predictive Analytics automated functionality and SAP Lumira Discovery to visualize the data Copyright. All rights reserved. 7

UNIT 5 Data Preparation Lesson 1: Data Preparation Phase Explain the data preparation phase Lesson 2: Data Preparation Expert Analytics Prepare data in SAP Predictive Analytics expert mode Lesson 3: Automating Data Preparation Explain SAP Data Manager and data manipulation Lesson 4: Creating Dynamic Data Sets Create dynamic data sets in SAP Data Manager for predictive modeling Copyright. All rights reserved. 9

UNIT 6 Modeling Lesson 1: Modeling Phase Describe the modeling phase, algorithm selection and SAP data science applications Lesson 2: SAP Predictive Analytics Autmoated Describe SAP Predictive Analytics automated system Lesson 3: Automated Data Encoding Encode data in SAP Predictive Analytics automated system Lesson 4: Building Models Automatically Build models in SAP Predictive Analytics automated system Lesson 5: Social and Recommendation Explain social and recommendation Lesson 6: SAP Predictive Analytics Expert Copyright. All rights reserved. 11

Unit 6: Modeling Explain modeling in SAP Predictive Analytics expert system Lesson 7: PAL/APL Explain modeling in SAP HANA using PAL and APL Lesson 8: Model Quality Assess model quality 12 Copyright. All rights reserved.