When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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 business requirements...
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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
