Data Analysis Data Visualization BI Analyst

Low-Code Data Science and Analytics with KNIME

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.

Emilio Silvestri

2024년 10월 29일

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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: