KNIME Analytics Platform for Data Scientists
KNIME Analytics Platform for Data Scientists (2 days)
The KNIME Analytics Platform for Data Scientists Training provides an opportunity to learn directly from the source how to develop KNIME workflows from importing data to building reports and the many tasks in between.
This course is designed for those who are just getting started on their data science journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench. Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date&Time integrations work, and get a taste for ensemble models, parameter optimization, and cross validation.
During the course there’ll be hands-on sessions based on real-world use cases.
Course Outline
- Introduction to KNIME
- Importing Data
- Data Manipulation & Data Aggregation
- Data Visualization
- Data Mining & Machine Learning
- Data Export & Reporting
- Flow Variables
- Time Series Analysis
- Workflow Control
- Advanced Data Mining & Machine Learning
- Databases
Who should attend
Data Scientists, statisticians, business analysts, market researchers, and information technology professionals who want to get started with KNIME and need to make better use of their data.
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