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Building Data Apps with a Codeless Approach


Put any kind of analytics solution – from simple ones that just perform basic reporting, to complex ones with sophisticated machine learning models – into the hands of end users with interactive, parameterized data apps.

With KNIME data apps, analytical results can be delivered to any number of users: through a web interface, they can self-sufficiently interact with solutions and gather insights from them, without ever having to check their corresponding underlying workflows.

In this hands-on webinar, we will show you how to create informative data apps using KNIME’s low-code/no-code approach.

Aline Bessa
Aline Bessa

Data Scientist at KNIME

Aline joined KNIME as a data science evangelist with a mission to democratize data science for as many people as possible! She holds an MSc in Computer Science from Federal University of Minas Gerais (UFMG), Brazil and went on to complete a PhD at New York University (NYU), where her research focused on data quality and information retrieval.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!