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: January 9, 16, 23, 30, February 6 - always at 6pm CET
Price: EUR 250 + VAT

Is it useful to fully automate the data science cycle? In this webinar we describe a semi-automated approach to the creation and training of machine learning models by alternating interaction points and automatic data processing.

This interactive approach to automated machine learning at KNIME is obtained via Guided Automation, a special instance of Guided Analytics. With Guided Automation, we do not aim to replace the driver by totally automating the process, instead we offer assistance and allow feedback to be gathered throughout the modeling process - whenever it's needed.

Want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application with KNIME Analytics Platform.

In this workshop you will build a sentiment analysis application, step by step, using KNIME Analytics Platform. After an introduction to the most common techniques used for sentiment analysis and text mining we will work in three groups, each one focusing on a different technique.

1. Deep Learning: This group will work with the visual Keras deep learning integration available in KNIME (completely code free).
2. Machine Learning: This group will use other machine learning techniques, based on native KNIME nodes.
3. Lexicon Based: This group will focus on a lexicon based approach for sentiment analysis.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day IoT Analytics Course for KNIME Analytics Platform in Stuttgart on February 4, 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 February 5-6, 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, Redfield, is hosting a Course for KNIME Analytics Platform on February 6-7, 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.

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day KNIME Server Course in Stuttgart on February 7, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on February 5-6.

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 Stuttgart on February 8, 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.

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.

You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units?

KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems.

Welcome to the series of Artificial Intelligence Learnathons!

KNIME is hosting the following one-day beginners training course during the KNIME Spring Summit in Berlin on March 18, 2019:

KNIME Analytics Platform for Beginners: From installation to utilization and everything in between

This course is designed for those have no to little previous experience with KNIME. We will take you through everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. This course is complimented by Advanced Users in KNIME Analytics Platform which is being held on Tuesday, 19 March.

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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.

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 18, 2019:

Text Mining with KNIME Analytics Platform: Using the Textprocessing Extension

This is an intensive training which focuses 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 training. This course is also available on Tuesday March 19, 2019.

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KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 18, 2019:

KNIME Big Data Extensions: Data Mining with Apache Hive and Apache Spark

This one day course focuses on how to use KNIME for in-database processing and data mining with Apache Hive, Apache Spark, and Apache Hadoop. Learn how to interact with these tools based on the example: Eliminating missing values by predicting their values based on other attributes. This course is also available on Tuesday March 19, 2019.

Register Now