Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Explore advanced data mining techniques and learn how to create models in KNIME Analytics Platform.

During the course there’ll be hands-on sessions based on real-world use cases. To prepare for this course you can attend [L1-DS] KNIME Analytics Platform for Data Scientists: Basics the day before on May 11, 2020.

NOTE: This course replaces our previous two-day KNIME Analytics Platform Course, which is now split into two one-day courses - [L1-DS] KNIME Analytics Platform for Data Scientists: Basics and [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced.

Price CHF 850 (incl. 7.7% MwSt.)

Agenda:

9:00 – 9:30 Registration, Coffee

9:30 – 10:30 Flow Variables:

Flow Variables and Credentials / Variables to Overwrite Node Settings

10:30 – 10:45 Break

10:45 – 11:15 Flow Variables (continued):

Configuration Nodes and Shared Components

11:15 – 12:00 Time Series Analysis I:

The Data and Time Type

12:00 – 13:00 Lunch

13:00 – 13:30 Time Series Analysis II:

Time Series Manipulation

13:30 – 15:00 Workflow Control:

Loops / Switches / Try Catch

15:00 – 15:15 Break

15:15 – 16:15 Advanced Data Mining:

Ensemble Tree Algorithms / Cross Validation / H2O Integration / Keras Integration

16:15 – 16:45 Databases:

Basic Setup and Connectors / Reading and Writing / Visual Query Generation

16:45 – 17:00 Summary & Catch-up

Summary of Materials Covered / Q&A Session