Data science and analytics success isn't just about writing the best code or, today, even about writing code at all. You also need to be able to build data solutions that are reusable by less technical people to collaborate on. That means building data pipelines that are robust and understandable, and having the means to show how your data is processed to effectively communicate results to your colleagues and decision-makers.
In this session, Emilio from the analytics platform company, KNIME, will guide you through the main functionalities of the software and you will build together a first visual workflow to answer some questions with your data. You will get an idea of how visual workflows can help you automate repetitive spreadsheet tasks, build machine learning models, and integrate AI into your data analytic processes, without having to code.
Key Takeaways:
- Learn the advantages of visual programming to solve data-related tasks
- Get to know KNIME Analytics Platform’s main functionalities
- Build a simple and reusable data workflow
To code-along with Emilio, please make sure to install KNIME Analytics Platform. Download it for free at https://www.knime.com/downloads
