Webinar - TAE – Technische Akademie Esslingen
KNIME Analytics Platform enables you to gain valuable insights by analyzing data and improving efficiency by automating repetitive data tasks, even without programming or special IT skills.
The training has a modular structure and focuses on statistical basics, the use of the KNIME tool, and the topic of data preparation and data visualization in KNIME. KNIME is an open-source application for data analysis that can be used to automate data extract, transform, and load tasks, as well as sophisticated data analyses such as text mining, image processing, and machine learning intuitively and without programming knowledge. We will also show you how to link KNIME with other tools like Power BI. After the basic training, you will be supported in implementing practical applications in the form of learning transfers.
Employees from various specialist areas who want to develop a basic understanding of analyzing and evaluating data.
Participants in the KNIME training do not require any special mathematical, statistical or programming knowledge.
Termin | Ort | Preis* |
---|---|---|
26.11.2025- 11.12.2025 | online | 2.100,00 € |
26.11.2025- 11.12.2025 | Ostfildern | 2.100,00 € |
KNIME Analytics Platform enables you to gain valuable insights by analyzing data and improving efficiency by automating repetitive data tasks, even without programming or special IT skills.
The training has a modular structure and focuses on statistical basics, the use of the KNIME tool, and the topic of data preparation and data visualization in KNIME. KNIME is an open-source application for data analysis that can be used to automate data extract, transform, and load tasks, as well as sophisticated data analyses such as text mining, image processing, and machine learning intuitively and without programming knowledge. We will also show you how to link KNIME with other tools like Power BI. After the basic training, you will be supported in implementing practical applications in the form of learning transfers.