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. Finland onsite live KNIME trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course: KNIME Analytics Platform for BI
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
good overview, good balance between theory and exercises
Proximus
Course: Data Analysis with Hive/HiveQL
It was a very practical training, I liked the hands-on exercises.
Proximus
Course: Data Analysis with Hive/HiveQL
Liked very much the interactive way of learning.
Luigi Loiacono
Course: Data Analysis with Hive/HiveQL
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
That we have used our own data as examples
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
customized, in-house file processing and data analysis
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
Overall the Content was good.
Sameer Rohadia
Course: A practical introduction to Data Analysis and Big Data
presentation of technologies
Continental AG / Abteilung: CF IT Finance
Course: A practical introduction to Data Analysis and Big Data
Willingness to share more
Balaram Chandra Paul
Course: A practical introduction to Data Analysis and Big Data
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Course: Elasticsearch for Developers
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
Course: Elasticsearch for Developers
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Course: Elasticsearch for Developers
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
The way the trainer made complex subjects easy to understand.
Adam Drewry
Course: Data and Analytics - from the ground up
learning how to use excel properly
Torin Mitchell
Course: Data and Analytics - from the ground up
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
The training materials.
Mona Dobre - Oana Panceaa, DB Global Technology
Course: SQL Advanced level for Analysts
That the trainer provide alot of materials , files and reference to return to them later once need and for self study .
Abdulrahman E. Al Qahtani, Saudi Azm for Communication and Information Technology Co
Course: SQL Advanced level for Analysts
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Course: Python for Data Analysis
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Course: Python for Data Analysis
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
Course: Python for Data Analysis
the trainer was very good and made the training perfect for my needs
Florentin - Brenda TSATSU, EXPERIS
Course: Search and Analytics with Amazon OpenSearch
Got to know new features in OS which I wasn't aware before.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course: Search and Analytics with Amazon OpenSearch
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
KNIME Course Outlines in Finland
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
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
21 hours
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
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course or to know more on this program, please contact us to arrange.
35 hours
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.
14 hours
This instructor-led, live training in Finland (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.
14 hours
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.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course or to know more on this program, please contact us to arrange.
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Consulting in Finland
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