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This course builds on the Data Literacy with KNIME Analytics Platform: Basics - L1-AP course and introduces advanced concepts for creating and automating workflows.
This course covers topics related to controlling node settings and automating workflow execution. You will learn about concepts such as flow variables, loops, switches and error catching. You will also learn how to handle date and time data, how to create advanced dashboards and how to process data in a database.
In addition, this course introduces you to the basic concepts of data technology. You will learn about different types of data, structured, semi-structured and unstructured, as well as different data sources. Examples and exercises are used to show how to handle such data.
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Course Contents
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- Flow Variables & Components
- Workflow Control and Invocation
- Date & Time, Databases, REST Services, Python & R Integration
- Introduction to Data Engineering
- Review of the Last Exercises and Q&A
Please note: This online course will take place in different combinations depending on the dates:
- The five-day dates take place as four 75-minute online sessions led by a data scientist. In each session there is an exercise that you can work on at home. The course ends on the fifth day with a 15- to 30-minute wrap-up session.
- The two-day sessions will take place as two 4-hour online sessions led by a data scientist. During the course, practical exercises will be conducted on a use case using the latest version of the KNIME Analytics Platform.
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Target Group
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You should be an advanced KNIME user and ideally have already created a few workflows.
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Knowledge Prerequisites
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This course does not provide an introduction to the KNIME Analytics Platform - it focuses on more advanced data science concepts.
It is recommended to attend the course Data Literacy with KNIME Analytics Platform: Basics - L1-AP beforehand.
You should already have the latest version of the KNIME Analytics Platform installed on your laptop, which you can download here: knime.com/downloads
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Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
This course builds on the Data Literacy with KNIME Analytics Platform: Basics - L1-AP course and introduces advanced concepts for creating and automating workflows.
This course covers topics related to controlling node settings and automating workflow execution. You will learn about concepts such as flow variables, loops, switches and error catching. You will also learn how to handle date and time data, how to create advanced dashboards and how to process data in a database.
In addition, this course introduces you to the basic concepts of data technology. You will learn about different types of data, structured, semi-structured and unstructured, as well as different data sources. Examples and exercises are used to show how to handle such data.
-
Course Contents
-
- Flow Variables & Components
- Workflow Control and Invocation
- Date & Time, Databases, REST Services, Python & R Integration
- Introduction to Data Engineering
- Review of the Last Exercises and Q&A
Please note: This online course will take place in different combinations depending on the dates:
- The five-day dates take place as four 75-minute online sessions led by a data scientist. In each session there is an exercise that you can work on at home. The course ends on the fifth day with a 15- to 30-minute wrap-up session.
- The two-day sessions will take place as two 4-hour online sessions led by a data scientist. During the course, practical exercises will be conducted on a use case using the latest version of the KNIME Analytics Platform.
-
Target Group
-
You should be an advanced KNIME user and ideally have already created a few workflows.
-
Knowledge Prerequisites
-
This course does not provide an introduction to the KNIME Analytics Platform - it focuses on more advanced data science concepts.
It is recommended to attend the course Data Literacy with KNIME Analytics Platform: Basics - L1-AP beforehand.
You should already have the latest version of the KNIME Analytics Platform installed on your laptop, which you can download here: knime.com/downloads
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
You can find the complete description of this course with dates and prices ready for download at as PDF.
Online Training
Trainer language English