KNIME Low Code Data Extraction and Visualization

Some of the most common topics we see today in relation to data processing are extraction from exotic sources such as websites, the use of REST services and the importance of JSON.

Once the data is extracted, what is the best way to visualize it to present or sell an idea? To answer these questions, it's best to arm yourself with a small collection of low-code tools for data extraction and visualization.

In this course, we offer you the opportunity to learn more about advanced data extraction techniques and advanced visualization including dashboards. Each day we will introduce a useful low-code tool for data extraction as well as different visualizations. Our first session will introduce the basics of creating simple dashboards, but by the end of day 4 you will know how to create interactive and refined user interfaces.

• Data Collection via RESTful services with JSON and web scraping
• Data Visualization using our most recent and less common nodes
• Data Extraction via Regex for PDF and text-based projects
• Data Quality and Visualization Best Practices
• Wrap Up and Q&A

Please note: This course consists of four 75-minute online sessions conducted by a KNIME data scientist. Each session includes an exercise that you can complete at home. The course ends with a 15 to 30-minute final session.

This course does not provide a detailed introduction to the KNIME Analytics Platform. You should be familiar with the KNIME Analytics Platform. We assume that you have already created KNIME workflows and are familiar with data processing concepts and techniques. We recommend attending this course after you have acquired KNIME L1 and L2 knowledge or an equivalent qualification.

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

In this course, you will learn how to efficiently extract and visualize data with KNIME without in-depth programming knowledge. You will develop practical workflows for data preparation, analysis, and presentation.