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. Zhuhai onsite live KNIME trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Zhuhai Tianlang Haifeng
1210, Tianlang Haifeng 2 Building 1210, Zhuhai, China, 519000
Tianlang Haifeng is located in the west of Qianshan Bridge, the southeast corner of Zhuhai Avenue and Nanping Sub-main Road. ...
Tianlang Haifeng is located in the west of Qianshan Bridge, the southeast corner of Zhuhai Avenue and Nanping Sub-main Road. The plot ratio is 5.2, covering an area of 17,428 m2, and the total construction area is 130,977.32 m2 (including 70,705.03 m2 of residential buildings and 19,702.17 m2 of commercial buildings. About 33012.6 m2, the other about 4407.76 m2), the building height is 185 meters.
Tianlang Haifeng functional layout: three-story basement (parking, civil air defense and other functional configurations);
Four-story podium shopping mall; two residential towers above the top floor of the podium, 58 floors per tower (including: the first floor of the tower is the residential entrance lobby, the second floor is the clubhouse, the third floor is the commercial office floor, the 22nd floor, The 37th floor is the refuge floor, and the remaining 53 floors are residential standard floors)
Architectural style: complete and clean residential tower, reasonable structural system, no square opening and no groove, very original;
The city landmarks are quiet and restrained, but they are quite upright.
There is a temperament of Yushu Linfeng, there is no apparent sexuality simulation, and it is close to the style of Binhai Garden City.
Park: Return to Park, Zhuxiandong Park
Supermarket: Get a supermarket
Business: Huafa Shangdu, Binhe Fengqing Bar Street, Nanping Seafood Street, Nanping Market, etc.
School: Rongrong International Kindergarten, Rongsong Primary School, Beishan Primary School, Nanping Middle School
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 Zhuhai (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.
KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services.
By the end of this training, participants will be able to:
Schedule analytics workflows to run automatically and give yourself more time to focus on data science.
Control workflows to automate model management
Scale and pin workflow execution with well provisioned, high performance server architecture which is configured to your specifications.
Design, edit, and execute workflows on KNIME Server using the remote workflow editor and take advantage of well provisioned hardware in a secure environment.
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.
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Testimonials (1)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
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