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. The Philippines 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
The tool was interesting and I see the use. I would like to learn about more about it.
Teleperformance
Course: Data Analytics With R
new tool which is "R" and I find it interesting to know the existence of such tool for data analysis
Michael Lopez - Teleperformance
Course: Data Analytics With R
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.
Sindiso Ndlovu - Export Credit insurance corporation
Course: Excel For Statistical Data Analysis
The reminder of the world of statistics :)
Export Credit insurance corporation
Course: Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The effort made by the trainer to engage the audience, as well as time taken to prepare exercises.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
The exercises to test what I had learnt. It felt like problem solving and I felt a sense of pride when I could solve it.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
Lots of relevant examples and R markdown files, which I hope will be useful to refer to later.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
I thought he did a great job of tailoring the experience to the audience. This class is mostly designed to cover data analysis with HIVE, but me and my co-worker are doing HIVE administration with no real data analytics responsibilities.
ian reif - Franchise Tax Board
Course: Data Analysis with Hive/HiveQL
Fulvio was able to grasp our companies business case and was able to correlate with the course material, almost instantly.
Samuel Peeters - Proximus Group
Course: Data Analysis with Hive/HiveQL
The handson. The mix practice/theroy
Proximus Group
Course: Data Analysis with Hive/HiveQL
The high level principles about Hive, HDFS..
Geert Suys - Proximus Group
Course: Data Analysis with Hive/HiveQL
The trainer was fantastic and really knew his stuff. I learned a lot about the software I didn't know previously which will help a lot at my job!
Steve McPhail - Alberta Health Services - Information Technology
Course: Data Analysis with Hive/HiveQL
The competence and knowledge of the trainer
Jonathan Puvilland
Course: Data Analysis with Hive/HiveQL
Dynamic interaction and "hands on" the subject, thanks to the Virtual Machine, very stimulating!
Philippe Job
Course: Data Analysis with Hive/HiveQL
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
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
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
I liked the way that my trainer was teaching us, and the Meeting Room was taken for our course.
Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Interactive topics and the style used by the lecture to simplified the topics for the students
Miran Saeed - Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Smart and cleverness
Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
the trainer and his ability to lecture
ibrahim hamakarim - Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
R programming
Osden Jokonya - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
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
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
Trainer was very open minded about questions and tried to answer as many as possible.
Quidco
Course: Elasticsearch for Developers
The content relevnt and to the point
Qiniso Mdletshe - Quidco
Course: Elasticsearch for Developers
Relaxed style. Help with the issues we were having with current setup.
Quidco
Course: Elasticsearch for Developers
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
real life practical examples
Wioleta (Vicky) Celinska-Drozd
Course: Data and Analytics - from the ground up
The patience of Kamil.
Laszlo Maros
Course: Data and Analytics - from the ground up
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
KNIME Course Outlines in the Philippines
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
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 the Philippines (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.
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.
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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