Join us for the 12th KNIME Spring Summit at bcc Berlin Congress Center, Berlin from March 18 - 22, 2019. As with previous Summits, there'll be leading data scientists there, highlighting how they use KNIME Software for solving data problems across industries such as telecommunications, retail, life sciences, manufacturing, finance, and more. We've also got our KNIME courses on offer, giving you the chance to extend your KNIME knowledge, plus an exciting social program, providing plenty of networking opportunities.

Are you an expert in KNIME Analytics Platform?

Our KNIME Certification Program measures your expertise with different concepts of KNIME Software as well as current data science skills.

We currently offer certification for the L1 and L2 levels, which cover KNIME Analytics Platform exclusively.

Which examination is right for you?

L1: Proficiency in KNIME Analytics Platform for ETL, Data Analytics, and Visualization within the KNIME Certification Program for Data Science

KNIME Server Online Course for Data Scientists dives into the details of KNIME Server and KNIME WebPortal with the primary goal being to learn how to use KNIME Server to collaborate with colleagues, automate repetitive tasks, and deploy KNIME workflows as WebPortal applications or REST web services.

Attendees will learn how to:

• share workflows, data, and metanodes between teammates and among different functions within the company
• take advantage of the many server dedicated nodes and features
• set access rights on workflows, data, and metanodes
• execute workflows remotely on KNIME server and from the KNIME WebPortal
• schedule report and workflow executions.

Our trusted partner, Redfield, is hosting a Course for KNIME Analytics Platform on April 2-3, 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.

Welcome to the series of Artificial Intelligence Learnathons!

Our trusted partner, Business&Decision, 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.

Our trusted partner, Redfield, is hosting a Course for KNIME Server on April 4, 2019.

This course dives into the details of KNIME Server and KNIME WebPortal - discussing them from three different points of view: the power user, the administrator, and the end user. All tools and features designed for each one of these three personas are shown in detail and illustrated in interactive sessions and hands-on exercises.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day IoT Analytics Course for KNIME Analytics Platform in Vienna on April 8, 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 Vienna on April 9-10, 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.

Become part of this innovative and active community. Find out more about the opportunities and best practices provided by advanced analytics and join us at this meetup, hosted by our trusted partner DYMATRIX on the evening before DYMATRIX' DynaSummit, in Stuttgart.

We look forward to an evening of interesting talks and discussion on customer centricity, innovative use cases involving text and image data and KNIME Analytics Platform.

For more information and how to register, please visit the DYMATRIX webpage.

Our trusted partner, Redfield, is hosting a free seminar all about Text Mining with KNIME Analytics Platform on April 10, 2019.

This seminar will focus on the processing and mining of textual data with KNIME using the Textprocessing extension. We will show you how to read textual data in KNIME, enrich it semantically, preprocess it, and transform it into numerical data. We will also demonstrate how to cluster it, visualize it, or build predictive models. Text mining experience is not necessarily required for this seminar.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day KNIME Server Course in Vienna on April 11, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on April 9-10.

This course dives into the details of KNIME Server and KNIME WebPortal - discussing them from three different points of view: the power user, the administrator, and the end user. All tools and features designed for each one of these three personas are shown in detail and illustrated in interactive sessions and hands-on exercises.

Find out how to exchange workflows and data between the server and the client, how to take advantage of the many server dedicated nodes and features when implementing a workflow, how to set access rights on workflows, data, and metanodes, share metanodes, execute workflows remotely and from the KNIME WebPortal, and how to schedule report and workflow executions, and more.

The course is designed not only for customers, partners, and the community, but also for anyone interested in finding out more about the KNIME commercial platform and its functionalities.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day Big Data Course for KNIME Analytics Platform in Vienna on April 12, 2019.

This course focuses on processing and mining databases with Hadoop and Spark through KNIME. Learn how to interact with these tools based on an example: eliminating missing values by predicting their values based on other attributes.

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform on April 15-16, 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.

Welcome to the series of Artificial Intelligence Learnathons!

This event 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.

Together with our trusted partner, Crystalloids, we are hosting a data science learnathon in Utrecht, Netherlands on April 17, 2019.

What is a learnathon? It's between a workshop and a hackathon - where you’ll learn not only about the data science cycle, you’ll also work in groups to hack a workflow-based solution to guided exercises using KNIME Analytics Platform.