This online course introduces the basic functionalities of KNIME Analytics Platform.

Mode: Interactive learning sessions and exercises, which are assigned at the end of each session and discussed at the beginning of the following session.
Who: This course has been designed for KNIME newbies who wish to know more about the basic functionalities of the platform. The four one-hour online lessons stretching over four weeks are ideal for aspiring KNIME experts whose time is limited.
Duration: One hour per week over 4 weeks, plus a one 15-minute course at the end
Location: Online
Dates: May 8, 15, 22, 29, June 5 - always at 6pm CEST
Price: EUR 250 + VAT

Our trusted partner, Redfield, is hosting a Course for KNIME Analytics Platform on May 21-22, 2019.

In this course you'll learn everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. You’ll also get the chance to test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Breakfast, lunch and afternoon coffee included.

The KNIME Sydney User Group is hosting their second Meetup on May 23 and would like to invite you to join. Here is a description of their event:

Fresh from KNIME Spring Summit in Berlin, Data Chameleon will give you some feedback from the community. There also are some cool KNIME goodies from the Summit to share with everybody.

During this session, we will review the basics of KNIME Analytics Platform. For those of you who are new to KNIME, this will help you better understand what KNIME can help you do with your data. Then we will look at how to use KNIME Server for deployment - from small teams to enterprise level. We will use the Guided Analytics example provided by KNIME which is extremely powerful for both data scientists and data citizens (the term used to describe a simple data user). Finally, Eric Wong will speak about his use case. Eric is relatively new to KNIME, but became a true expert within a year.

Welcome to the series of Artificial Intelligence Learnathons!

Together with our trusted partner, Quantum Analytics, we will be running this event which will focus on automated machine learning and data visualization. As usual we will work in groups. Each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and be run from a web browser.

Welcome to the series of Artificial Intelligence Learnathons!

Together with SourceSense and IAML, we will be running and hosting this learnathon, which will focus on automated machine learning and data visualization. We will work in groups and each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and run from a web browser.

Together with our trusted partner, Starr & Associates, KNIME will be hosting a Data Science Learnathon for the first time in Atlanta, GA on May 29, 2019.

What is a learnathon? It's between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle - data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises. The tool of choice for this learnathon is KNIME Analytics Platform.

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform in Long Beach, California on May 30-31, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. Test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Our trusted partner, Adaptagis, is running a two-day KNIME Analytics Platform Course in Zurich on June 3-4, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. Test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform in San Francisco, California on June 6-7, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. Test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Are you already familiar with the basics of the KNIME Analytics Platform and now want to learn more? What about learning how to control a workflow by using workflow parameters and loops? Or how to find the best parameter settings for your machine learning model automatically in a deep dive session of advanced machine learning? Then this is the perfect option to learn all those things and more in our KNIME Online Course for Advanced Users.

Our trusted partner, Datasolution is hosting a two-day KNIME Analytics Platform Course in Seoul on June 13-14, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. This course also introduces different machine learning models by using a real world data. You'll also get to test everything you learn in a hands-on session.

This course is held in Korean and designed primarily for those who have little to no previous experience with KNIME. It is also useful for those who simply want to fine tune their knowledge. As this course is focusing on Enterprise standard, please kindly contact Datasolution (training@datasolution.kr) for the promotional code if you are representing your company. 

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform in Seattle, WA on June 13-14, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. Test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

KNIME will be in Dublin on June 19 hosting a Data Science Learnathon.

What is a learnathon? It's between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle - data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises. The tool of choice for this learnathon is KNIME Analytics Platform.

KNIME Analytics Platform is an open, open-source, GUI driven, data analytics platform, that covers all your data needs from data import to final deployment. Being open, KNIME Analytics Platform offers a vast integration and IDE environment for R, Python, SQL, and Spark.

After an initial introduction to the tool and to the data science cycle, we will split in groups. Each group will focus on one of three aspects of the data science cycle:

• Group 1. Working on the raw data. Data access and data preparation.
• Group 2. Machine Learning. Which model shall I use? Which parameters?
• Group 3. I have a great model. Now what? The model deployment phase.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day IoT Analytics Course for KNIME Analytics Platform in Stuttgart on July 1, 2019.

Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. This course introduces the most important methodologies, algorithms and ideas in IoT Analytics. Learn how to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.

Who should attend: Data scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a two-day KNIME Analytics Platform Course in Stuttgart on July 2-3, 2019.

This course teaches you everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. Test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.