Introductory Course to Data Science

 

KNIME® Analytics Platform is the leading open solution for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. Our enterprise-grade, open source platform is fast to deploy, easy to scale, and intuitive to learn.

With more than 2,000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist. Our steady course on unrestricted open source is your passport to a global community of data scientists, their expertise, and their active contributions.

KNIME Analytics Platform is easy to use, however if you are not yet very familiar with data manipulation and graphic programming, a few hints can help. That is why we have devised a series of short courses to get started with KNIME Analytics Platform and to show you how you can use it for data manipulation, ETL, data analytics, data blending, reporting  ̶  basically everything that falls into the category of data science.

In this particular course “Introductory Course to Data Science”, we explore the basics of what is required in a data science project. We start with data access and ETL/data manipulation, to continue with the graphical exploration of data using the Javascript based nodes, till the training of a Machine Learning model. The goal is to show the different parts needed to build, apply, and deploy a predictor model.

Are you ready? Let’s get started then!