Cognite Product Academy → 3. API&SDK

Introduction to Cognite Python SDK (302)


Description
This course provides an introduction to using Open Industrial Data (OID) and Cognite Data Fusion (CDF) to collect data and create models with the Cognite Python SDK. It covers the opportunities and current use cases in data science, accessing OID and environment set up, retrieving asset information and time series data, and two examples models.
Estimated time for completion: 1.5-2 hous.
Content
  • Purpose and Overview
  • Opportunities for Data Science
  • How Cognite Can Help
  • Current Use Cases
  • Course Content
  • Overview Recap
  • Access and Set Up
  • Accessing Open Industrial Data
  • Google Colab Set Up
  • 1. Environment Set Up
  • Data Collection
  • 2. Retrieving Lists of Assets
  • 3. Asset Hierarchy and Relationships
  • 4. Collecting Time Series Data
  • 5. Use Cases of CDF Data
  • Data Collection Recap
  • Model Creation
  • 6. Model Creation
  • 7. Linear Regression Model
  • 8. Random Forest Ensemble Model
  • Workshop Presentation
  • The Puzzle
  • Final Puzzle
  • Puzzle Solutions
  • Feedback
  • Course Feedback
Completion rules
  • All units must be completed
  • Leads to a certification with a duration: 3 months