Course for KNIME Analytics Platform, Stuttgart

- Stuttgart

Our trusted partner, AdvancedAnalytics.Academy, is hosting a two-day KNIME Analytics Platform Course in Stuttgart on May 14-15, 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.

Course for KNIME Server, Stuttgart

Stuttgart

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day KNIME Server Course in Stuttgart on May 16, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on May 14-15.

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.

Big Data Course for KNIME Analytics Platform, Stuttgart

Stuttgart

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day Big Data Course for KNIME Analytics Platform in Stuttgart on May 17, 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.

Guided Analytics Learnathon: Building Applications for Automated Machine Learning, Zurich

Technopark Zurich, Technoparkstrasse 1, 8005 Zurich

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.

KNIME Online Course for Advanced Users - June/July 2019

- Online

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.

IoT Analytics Course with KNIME, Stuttgart

Stuttgart

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.

Course for KNIME Analytics Platform, Stuttgart

- Stuttgart

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.

Course for KNIME Analytics Platform, Zurich

- Technopark, Technoparkstrasse 1, 8005 Zurich, Switzerland

Our trusted partner, Adaptagis, is hosting a two-day KNIME Analytics Platform Course in Zurich on July 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.

Course for KNIME Server, Stuttgart

Stuttgart

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day KNIME Server Course in Stuttgart on July 4, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on July 2-3.

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.

Big Data Course for KNIME Analytics Platform, Stuttgart

Stuttgart

Our trusted partner, AdvancedAnalytics.Academy, is hosting a one-day Big Data Course for KNIME Analytics Platform in Stuttgart on July 5, 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.

Course for KNIME Server, Austin

Austin

KNIME is hosting a Course for KNIME Server in Austin, TX on July 17, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on July 15-16.

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.

KNIME Server Online Course for Data Scientists - July 2019

- Online

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.

Text Mining Course for KNIME Analytics Platform, Austin

Austin

KNIME is hosting a Text Mining Course for KNIME Analytics Platform in Austin, TX on July 18, 2019.

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.