Online or onsite, instructor-led live KNIME training courses demonstrate through interactive hands-on practice how to use KNIME for data analytics.
KNIME training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live KNIME trainings in Katowice can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Katowice
Centrum Szkoleniowe Moniuszki 7, Moniuszki 7, Katowice, Poland, 40-004
The training room is located in the heart of Katowice. Its attractive location in the city center guarantees easy access for all participants. The main railway station is just 500 meters away from our venue, and bus and tram stops are only 100 meters away. Additionally, it has excellent connections to the outbound route towards the A4 motorway to Krakow - Wroclaw and Pyrzowice Airport, making it an ideal venue for participants arriving from various parts of Poland and abroad.
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 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 and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 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 and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs.
It is targeted for the audience that doesn't know programming and intends to use cutting edge tools to implement analytics scenarios
By the end of this training, participants will be able to:
Install and configure KNIME.
Build Data Science scenarios
Train, test and validate models
Implement end to end value chain of data science models
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 or to know more on this program, please contact us to arrange.
The "Analytics Platform KNIME" training offers a comprehensive overview of this free data analytics platform. The program includes an introduction to data processing and analysis, installation and configuration KNIME, building workflow, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions and integrations with tools such as R, Java, Python, Gephi, Neo4j. The conclusion includes an overview of reporting, integration with BIRT and KNIME WebPortal.
This instructor-led, live training in Katowice (online or onsite) 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.
Make data driven decisions for operations.
Implement end to end data science projects.
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Testimonials (3)
Practical classes, exercises, possibility of applying the discussed solutions in practice.
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