Advanced Analytics Methods Course with KNIME Analytics Platform, Berlin

Berlin

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

Advanced Analytics Methods with KNIME Analytics Platform

This course introduces the most important methods, algorithms and ideas in the data scientist’s toolbox. Learn how to use advanced methods to uncover underlying patterns or concepts contained in large data sets, automatically group objects into meaningful clusters, classify objects into predefined categories, and refine your features to enrich predictive modeling endeavors. It also covers the main algorithms of supervised and unsupervised learning as well as some modern thinking on model evaluation, model selection, and new ideas in model deployment.

If you are a Data Scientist, Statistician, Business Analyst, Market Researcher, or IT Professional needing to get started with Advanced Analytics or make better use of your data, then this course is for you. Managers and Executives wanting to embed analytics into their operating model and maximize data-driven business results at scale should also attend.

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KNIME Big Data Extensions Course, Berlin

Berlin

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 19, 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 Monday March 18, 2019.

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The Power of Random - Course: Using Perturbation Experiments to Improve Model Accuracy and Interpretation, Berlin

Berlin

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 19, 2019:

The Power of Random: Using Perturbation Experiments to Improve Model Accuracy and Interpretation

Predictive modelers often start learning how to build models with linear methods and statistical models. These approaches usually assume smaller data, known distributions, no missing values, and more, and as a result, make building and assessing the models straightforward, blessed with many very good metrics to use to judge model accuracy and the influence of individual predictor variables. As we build models using non-parametric, highly nonlinear techniques, many of these measures no longer make sense or are impossible to apply.

This workshop summarizes a half dozen ways to use randomization in the model building process. For each, principles describing the approach will be provided, followed by demonstrations of the techniques using KNIME.

This course is intended for Data Scientists, Statisticians, Mathematicians, Computer Scientists, and IT Professionals who build and interpret predictive models. Prior predictive modeling experience is very helpful.

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Advanced Users Course in KNIME Analytics Platform, Berlin

Berlin

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 19, 2019:

Advanced Users in KNIME Analytics Platform: Beyond the basics

This course builds on our Getting Started with KNIME Analytics Platform course and provides the perfect step into the world of Flow Variables, Workflow Control, and Advanced Data Mining Methods. Whilst primarily designed for those attending KNIME Analytics Platform for Beginners on Monday 18 March, this course is also ideal for those who have some experience in KNIME but would like to deepen their knowledge on these types of tasks.

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Text Mining Course with KNIME Analytics Platform, Berlin

Berlin

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 19, 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 Monday March 18, 2019.

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IoT Analytics Course with KNIME Analytics Platform, Berlin

Berlin

KNIME is hosting the following one-day course during the KNIME Spring Summit in Berlin on March 19, 2019:

IoT Analytics with KNIME Analytics Platform: Methodologies and Algorithms

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.

This course is intended for Data Scientists, Signal Processing Engineers, Statisticians, Mathematicians, Computer Scientists, and IT Professionals who need to get started with IoT Analytics and want to make better use of their data.

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KNIME Server Online Course for Data Scientists - March/April 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.

IoT Analytics Course with KNIME, Vienna

Vienna

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.

Course for KNIME Analytics Platform, Vienna

- Vienna

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.

Course for KNIME Server, Austin

Austin

KNIME is hosting a Course for KNIME Server in Austin, TX on April 10, 2019. We recommend combining this course with the two-day KNIME Analytics Platform Course on April 8-9.

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.

Text Mining Course for KNIME Analytics Platform, Austin

Austin

KNIME is hosting a Text Mining Course for KNIME Analytics Platform in Austin, TX on April 11, 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.

Course for KNIME Server, Vienna

Vienna

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.

Big Data Course for KNIME Analytics Platform, Vienna

Vienna

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.