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Fundamentals of Data Science

Skills Gained 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...

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$2,454 USD
Course Code DSC100-v010
Duration 3 days
Available Formats Classroom
5236 Reviews star_rate star_rate star_rate star_rate star_half
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Skills Gained

  • 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

Who Can Benefit

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

Prerequisites

  • Essential:
       -n/a
  • Recommended:
       -n/a

Course Details

Course 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

Course based on software release

  • SAP Analytics Cloud
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