Upcoming Events

Course for KNIME Server, Stuttgart

Stuttgart

KNIME is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on January 18, 2018. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held January 16-17, 2018.

Course for KNIME Server dives into the details of KNIME Server and KNIME WebPortal and discusses 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 by means of interactive sessions and hands-on exercises.

Attendees learn 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 meta-nodes, share meta-nodes, 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.

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Data Science Learnathon: From Raw Data to Deployment

Atos, Regent's Place, 1 Triton Square, Kings Cross, London NW1 3HG, UK

This will be a Learnathon kind of workshop! During this workshop we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. 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.

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Big Data Course for KNIME Analytics Platform, Stuttgart

Stuttgart

KNIME is hosting the following one-day course at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on January 19, 2018:

Big Data Course for KNIME Analytics Platform: 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.

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Online Course on the Basic Functionalities of KNIME Analytics Platform

Online

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: Feb 1, Feb 8, Feb 15, Feb 22, Mar 1 always at 6pm CET
Price: EUR 250

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Data Science Learnathon: From Raw Data to Deployment

KNIME GmbH, Körtestr. 10, 10967 Berlin, Germany

This will be a Learnathon kind of workshop. During this workshop we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. 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

Register Now

Corso di Introduzione al software KNIME Analytics Platform, Roma / Course for KNIME Analytics Platform

Roma

Data del Corso: 06/02/2018 alle 9:00

Luogo: LUISS ENLABS, via Marsala 29h, 00185 Roma

Durata: dalle 9:00 alle 5:00

Obiettivi: Fornire gli strumenti per navigare nell'ambiente KNIME Analytics Platform, trattare vari tipi di dati, ottenere statistiche e grafici e applicare tecniche di analisi dei dati.

A chi è rivolto: A differenti figure professionali interessate ad apprendere l’utilizzo del software KNIME Analytics Platform.

Requisiti: Essere in grado di comprendere le strutture di file e di accedervi sul proprio sistema operativo. Avere una conoscenza degli strumenti statistici di base.

Iscriviti adesso!

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Corso di Text Mining con KNIME Analytics Platform, Roma / Text Mining Course with KNIME Analytics Platform

Roma

Data del Corso: 07/02/2018 alle 9:00

Luogo: LUISS ENLABS, via Marsala 29h, 00185 Roma

Durata: dalle 9:00 alle 5:00

Obiettivi: Imparare i concetti base del Text Processing e le possibili applicazioni attraverso l’uso di tecniche di Data e Text Mining.

A chi è rivolto: Analisti di business, ricercatori di mercato, statistici che devono utilizzare dati testuali non strutturati nelle loro analisi.

Requisiti: Avere una conoscenza di base del software KNIME e dell’ambiente operativo nel quale si opera. Avere una conoscenza degli strumenti statistici di base.

Iscriviti adesso!

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Data Science Learnathon In Barcelona: From Raw Data to Deployment

Torre Barrina, Parque de La Marquesa, Carretera de Collblanc, 67, 08904 Hospitalet de Llobregat, Barcelona, Spain

This will be a Learnathon kind of workshop. During this workshop we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. 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 Apache 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

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 5, 2018:

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 6, 2018.

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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 5, 2018:

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 6, 2018.

Register Now

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 5, 2018:

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 Spring Summit 2018 - Berlin

- Hotel Berlin, Berlin - Lützowplatz 17, 10785 Berlin, Germany

Join us and other KNIME users for the 11th KNIME Spring Summit at Hotel Berlin, Berlin from March 5 - 9, 2018. Leading data scientists will be there to share how they use KNIME software for solving complex data problems across a variety of fields. We have an agenda filled with training courses, Summit sessions, and workshops with presenters from various companies, KNIME community members, our customers, and of course our very own KNIME team.

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 6, 2018:

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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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 6, 2018:

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 5 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.

Register Now