Course announcements

  • This course is also available in a self-paced e-learning format with an active subscription to the SAP Learning Hub, as DSC10E. This course provides an introduction into how to run a data science project based on SAP tools and solutions using the CRISP-DM methodology (Cross Industry Standard Process for Data Mining). You will be introduced to and have the opportunity to practice each of the stages, while gaining an introduction into the implications of the Circular Economy and ‘Experience’ data for Data Science projects.

Course information

Content

  • Introduction
    • Introduction to DSC100 Course
    • Introducing Data Science
    • Introducing Different Data Science Project Methodologies
  • Business Understanding Phase
    • CRISP-DM Business Understanding Phase
    • Defining Project Success Criteria
    • Introducing Data Science with the Circular Economy
  • Data Understanding Phase
    • CRISP-DM Data Understanding Phase
    • Understanding XO Data
    • Demonstrating Data Exploration
  • Data Preparation Phase
    • CRISP-DM Data Preparation Phase
    • Introducing Predictive Modeling
    • Manipulating Data
    • Introduction to Data Types
    • Encoding Data
    • Selecting Data – Variable and Feature Selection
  • Modeling Phase
    • CRISP-DM Modeling Phase
    • Detecting Anomalies
    • Introducing Association Analysis
    • Introducing Cluster Analysis
    • Introducing Classification Analysis with Regression
    • Demonstrating Regression in SAP SAC
    • Demonstrating Classification in SAP SAC
    • Introducing Classification Analysis with Decision Trees
    • Understanding Classification Analysis with KNN, NN, and SVM
    • Analyzing Time Series
    • Demonstrating Time Series Forecasting in SAP SAC
    • Understanding Ensemble Methods
    • Introducing Simulation & Optimization
    • Understanding Common Model Performance Metrics
    • Testing Predictive Models
    • Improving Model Performance
  • Evaluation Phase
    • CRISP-DM Evaluation Phase
    • Evaluating Model Performance
  • Deployment and Maintenance Phase
    • CRISP-DM Deployment Phase
    • Introducing Deployment Options
    • Monitoring & Maintaining Models
    • Introducing SAP Data Science Applications

Goals

  • This course will prepare you to:
  • Understand and be able to apply the CRISP-DM process to Data Science projects using SAP Analytics Cloud.
    • Gain an understanding of business requirements and how they translate into Data Science terms.
    • Learn how to select, encode and manipulate data.
    • Model data using a variety of techniques.
    • Evaluate and improve model performance.
    • Deploy and maintain models.
    • Understand have both operational and experience data (O and X data can be used)
    • Gain a first understanding of the role of data science in the Circular Economy.
    • Gain an introductory insight into data science applications

Audience

  • Data Consultant / Manager
  • Developer
  • Technology Consultant
  • Data Scientist

Prerequisites

Essential

  • n/a

Recommended

  • n/a

Course based on software release

  • SAP Analytics Cloud

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