This course builds on the fundamentals students have learned in the KNIME Analytics Platform for Data Scientists: Basics course. In these lessons, learners will engage with content focussed on manipulating data directly on a database, sharing and reusing functionalities with components, and repeating workflow parts with loops.
Exercises and solutions are provided to help learners practice their skills
Who Should Take
This course is suitable for learners who have mastered the basics of KNIME analytics and are prepared to build upon these skills.
Overall Learning Outcomes
Learn and practice data manipulation
Learn to build a loop
Understand machine learning
- Session 1: Data & Time & Databases
- Session 2: Flow Variables and Components
- Session 3: Workflow Control
- Session 4: Advanced Machine Learning