DSC200 – Delivering an SAP Data Science Project

DSC200 Delivering an SAP Data Science Project

Contents

Course Overview

Unit 1: Introduction

  • Lesson: Introduction

Unit 2: CRISP-DM Introduction

  • Lesson: CRISP-DM Introduction

Unit 3: Business Understanding

  • Lesson: Business Understanding Phase
  • Lesson: Design Thinking

Unit 4: Data Understanding

  • Lesson: Data Understanding Phase
  • Lesson: Initial Data Analysis and Exploratory Data Analysis
  • Lesson: SAP Lumira

Unit 5: Data Preparation

  • Lesson: Data Preparation Phase
  • Lesson: Data Preparation Expert Analytics
  • Lesson: Automating Data Preparation
  • Lesson: Creating Dynamic Data Sets

Unit 6: Modeling

  • Lesson: Modeling Phase
  • Lesson: SAP Predictive Analytics Autmoated
  • Lesson: Automated Data Encoding
  • Lesson: Building Models Automatically
  • Lesson: Social and Recommendation
  • Lesson: SAP Predictive Analytics Expert
  • Lesson: PAL/APL
  • Lesson: Model Quality

Unit 7: Evaluation

  • Lesson: Introduction to Evaluation

Unit 8: Deployment

  • Lesson: Deployment Phase
  • Lesson: SAP Predictive Factory

Unit 9: Bringing it All Together

  • Lesson: Complete Process and Challenges

Course Overview

TARGET AUDIENCE

This course is intended for the following audiences:

  • Application Consultant
  • Business Process Owner/Team Lead/Power User
  • Program/Project Manager

 

Unit 1 Introduction

Lesson 1: Introduction

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain the course in details

 

Unit 2 CRISP-DM Introduction

Lesson 1: CRISP-DM Introduction

Lesson Objectives

After completing this lesson, you will be able to:

  • Provide an overview of CRISP and each of the phases

 

Unit 3 Business Understanding

Lesson 1: Business Understanding Phase

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain the business understadning phase

Lesson 2: Design Thinking

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain how design thinking can support business understanding phase

 

Unit 4 Data Understanding

Lesson 1: Data Understanding Phase

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain data understanding phase

Lesson 2: Initial Data Analysis and Exploratory Data Analysis

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain Initial Data Analysis and Exploratory Data Analysis

Lesson 3: SAP Lumira

Lesson Objectives

After completing this lesson, you will be able to:

  • Describe how to use SAP Predictive Analytics automated functionality and SAP Lumira Discovery to visualize the data

 

Unit 5 Data Preparation

Lesson 1: Data Preparation Phase

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain the data preparation phase

Lesson 2: Data Preparation Expert Analytics

Lesson Objectives

After completing this lesson, you will be able to:

  • Prepare data in SAP Predictive Analytics expert mode

Lesson 3: Automating Data Preparation

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain SAP Data Manager and data manipulation

Lesson 4: Creating Dynamic Data Sets

Lesson Objectives

After completing this lesson, you will be able to:

  • Create dynamic data sets in SAP Data Manager for predictive modeling

 

Unit 6 Modeling

Lesson 1: Modeling Phase

Lesson Objectives

After completing this lesson, you will be able to:

  • Describe the modeling phase, algorithm selection and SAP data science applications

Lesson 2: SAP Predictive Analytics Autmoated

Lesson Objectives

After completing this lesson, you will be able to:

  • Describe SAP Predictive Analytics automated system

Lesson 3: Automated Data Encoding

Lesson Objectives

After completing this lesson, you will be able to:

  • Encode data in SAP Predictive Analytics automated system

Lesson 4: Building Models Automatically

Lesson Objectives

After completing this lesson, you will be able to:

  • Build models in SAP Predictive Analytics automated system

Lesson 5: Social and Recommendation

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain social and recommendation

Lesson 6: SAP Predictive Analytics Expert

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain modeling in SAP Predictive Analytics expert system

Lesson 7: PAL/APL

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain modeling in SAP HANA using PAL and APL

Lesson 8: Model Quality

Lesson Objectives

After completing this lesson, you will be able to:

  • Assess model quality

 

Unit 7 Evaluation

Lesson 1: Introduction to Evaluation

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain each evaluation task

 

Unit 8 Deployment

Lesson 1: Deployment Phase

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain deployment in details

Lesson 2: SAP Predictive Factory

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain SAP Predictive Factory

 

Unit 9 Bringing it All Together

Lesson 1: Complete Process and Challenges

Lesson Objectives

After completing this lesson, you will be able to:

  • Explain the complete process

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DSC200 - Delivering an SAP Data Science Project

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