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, AdvancedAnalytics.Academy, is hosting a two-day KNIME Analytics Platform Course in Stuttgart on November 12-13, 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, AdvancedAnalytics.Academy, is hosting a one-day KNIME Server Course in Stuttgart on November 14, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on November 12-13.

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 November 15, 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, Datasolution, is hosting a one-day KNIME Analytics Platform training for intermediate users in Seoul on November 15, 2019.

This course provides a step into the world of flow variables, workflow control, metanodes, and Date&Time integrations. This course also teaches you how to use KNIME for in-database processing and data mining with Apache Hive, Apache Spark, and Apache Hadoop, as well as information for different deployment options such as JSON, REST, and KNIME WebPortal. This course is ideal for those who have some KNIME experience but would like to deepen their knowledge. It will also be a good opportunity for those wanting to learn more about the functionalities of the commercial KNIME Server. Lunch and learning materials are included.

Our trusted partner, Redfield, is hosting a Course for KNIME Analytics Platform on Nov 19-20, 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.

Questa volta il Learnathon si sposta a Firenze.

Il Learnathon è un evento a metà tra un hackathon e un workshop: è un workshop perché si studia il processo di data science. Ma è anche un hackathon, perché si lavora in gruppi, attraverso esercizi, per mettere a punto la soluzione. Durante il Learnathon sperimenteremo l’intero ciclo di un progetto di data science dall’accesso ai dati fino al deployment, passando per un paio di algoritmi di Machine Learning.

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.

Join us on December 4, 2019 for our next meetup in Zurich.

Let’s talk about deep learning and what you can do with it! In particular, we’ll tackle the LSTM units and how to use them to generate free texts. The first talk by Kathrin Melcher will give an introduction to recurrent neural networks and LSTM units. The second talk by Rosaria Silipo will show a practical application for free text generation.

Together with our trusted partner, CGI, we will be in Düsseldorf on December 4 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.

KNIME is hosting a Course for KNIME Analytics Platform in Berlin, Germany on December 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.

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. These examinations will be held at our KNIME Offices in Berlin on Tuesday, Dec 10: 6:30 PM - 8:00 PM.

KNIME is hosting a KNIME Server Course in Berlin, Germany on December 11, 2019. We recommend combining this course with the two-day Course for KNIME Analytics Platform on December 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.

Join us for a festive get-together in our Berlin Office, and see what the KNIMErs have been busy working on these past few months. 

For those of you who don’t already know, at KNIME we have two major software releases each year - one in summer, and one just before Christmas. The latter is our way of saying “Happy Holidays!” to our entire KNIME community. At this meetup, Iris will get you up to speed on all the new features and functionalities that are coming out with KNIME Analytics Platform 4.1 and KNIME Server 4.10. After the demonstration, there’ll be the chance to network over Christmas cookies, mulled wine, and other goodies.

KNIME is hosting a Text Mining Course for KNIME Analytics Platform in Berlin, Germany on December 12, 2019.

This course is an intensive training focused on the processing and mining of textual data with KNIME using the Textprocessing extension. Learn how to read textual data in KNIME, enrich it semantically, preprocess, and transform it into numerical data, and finally cluster it, visualize it, or build predictive models. Each session is accompanied by hands on exercises. This course is designed for people with basic knowledge of KNIME Analytics Platform. Experience with text mining is not necessarily required.