Course Outline for KNIME - Beginners
This introductory course is designed for absolute beginners without any prior technical knowledge. The Goal of this course is to be able to use KNIME for Data Science Projects. This is a hand on course. By the end of those course, the learner should be able to:
- Comprehend the types of problems and business processes in real life and use KNIME to analyse it.
- Process data with KNIME:
- Filter Data,
- Integrate Data
- Concatenate Data
- Join Data
- Manipulate Date with KNIME:
- Discretize Data
- Normalize Data
- Pivot Data
- Use Machine Learning
- Get introduced to some advanced KNIME features
The prerequisite for this course are:
- Familiarity with using a personal computer.
- Comfortable using the internet.
- Some basic understanding of FIle systems.
This is a two day course which includes:
- Introduction to Data Science
- Problem Comprehension
- Problem Translation
- Data Acquisition
- Data Cleaning
- Other Data Pre-processing
- Machine Learning
- Models
- Classifications
- Predictions
- Evaluation and PNML
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.