Cursos de KNIME

A Plataforma KNIME Analytics é uma opção líder de código aberto para inovação orientada a dados, ajudando a descobrir o potencial oculto em seus dados, buscando novas informações ou prever novos futuros. Com mais de 1000 módulos, centenas de exemplos prontos para execução, uma ampla variedade de ferramentas integradas e a maior variedade de algoritmos avançados disponíveis, a KNIME Analytics Platform é a caixa de ferramentas perfeita para qualquer cientista de dados e analista de negócios.

Este curso para a Plataforma KNIME Analytics é uma oportunidade ideal para iniciantes, usuários avançados e especialistas em KNIME serem apresentados ao KNIME , para aprender como usá-lo com mais eficiência e como criar relatórios claros e abrangentes com base nos KNIME trabalho do KNIME

KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.

Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.

KNIME is an open source data analytical software for integrating machine learning and data mining through data pipelines. With Python and R, users are able to extend KNIME in its capabilities for data analytics and machine learning.

This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to program in Python and R for KNIME.

By the end of this training, participants will be able to:

- Plan, build, and deploy machine learning models in KNIME.
- Implement end to end data science projects.
- Make data driven decisions for operations.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.