Data Literacy with KNIME Analytics Platform: Basics

The course begins with a detailed introduction to the KNIME Analytics Platform - from downloading to navigating the user interface.

The course focuses on processing data from different sources and presenting insights in different forms. The course looks at data cleansing and aggregation using methods such as advanced filtering, concatenation, joining, pivoting and grouping. In addition, the course also covers topics such as data visualization, dashboards and reports to present the insights from your data. With all these measures, you can put your data in the right form to quickly gain insights.

• Introduction to KNIME Analytics Platform & Data Access
• Data Cleaning, Data Transformation, and Workflow Documentation
• Data Merging, Data Aggregation, and Data Export
• Data Visualization and Reporting
• Review of the Last Exercises and Q&A

Please note: This online course takes place in different combinations depending on the date:

• The five-day dates take place as four 75-minute online sessions led by a data scientist. In each session there is an exercise that you can work on at home. At the beginning of the next session, you will go through the solution together. The course ends on the fifth day with a 15- to 30-minute wrap-up session.
• The two-day sessions take place as two 4-hour online sessions led by a data scientist. During the course, practical exercises will be carried out on a use case using the latest version of the KNIME Analytics Platform.

This course is aimed at those who are just starting their data analysis journey with the KNIME Analytics Platform Version 5.

No specific prerequisites are necessary. You will be taught everything you need to get started with KNIME Analytics Platform.

You should already have the latest version of KNIME Analytics Platform installed on your laptop, which you can download here: knime.com/downloads.