KNIME is hosting a Course for KNIME Analytics Platform at Design Offices (3rd Floor), Unter den Linden 26-30, 10117 Berlin, Germany on November 19-20, 2018.

In this course we’ll take you through 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. We’ll explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, we’ll 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. We’ll go through a full churn prediction use case and take a look into the future weather as well. This course nicely compliments the KNIME Server course. This course is designed primarily for those have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

The Berlin KNIME Users are hosting a Meetup on November 20 focusing on all things Machine Learning.

KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

KNIME is hosting a Course for KNIME Server at Design Offices (3rd Floor), Unter den Linden 26-30, 10117 Berlin, Germany on November 21, 2018. We recommend combining this course with the 2-day Course for KNIME Analytics Platform held November 19-20, 2018.

In this course we’ll dive into the details of KNIME Server and KNIME WebPortal from three different points of view: data scientist, business analyst, and IT administrator. All tools and features designed for each of these personas will be shown in detail and illustrated through hands on exercises. You’ll 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 metanodes, share metanodes, execute workflows remotely and from the KNIME WebPortal, how to schedule workflow execution and to generate reports, and more. We’ll also make a workflow for the WebPortal so that non experts can use it.

We’ll use an example of a customer segmentation use case to show how the KNIME Server features can help you with many aspects of model building, data access, and deployment. This course nicely compliments the KNIME Analytics Platform Course and is designed not only for customers, partners, and the community, but also for anyone interested in finding out more about KNIME Server and its functionalities.

KNIME is hosting a Text Mining Course for KNIME Analytics Platform at Design Offices (3rd Floor), Unter den Linden 26-30, 10117 Berlin, Germany on November 22, 2018.

This course is an intensive training focused on the processing and mining of textual data with KNIME using the Textprocessing extension. You’ll 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.

KNIME is hosting a Big Data Course for KNIME Analytics Platform at Design Offices (3rd Floor), Unter den Linden 26-30, 10117 Berlin, Germany on November 23, 2018.

This 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 designed for people with some experience of KNIME Analytics Platform that want to leverage the power of their databases or Hadoop clusters from within KNIME.

KNIME, in partnership with our trusted partner Miriade Srl, is hosting a course for KNIME Analytics Platform in Milan on November 26-27, 2018.

This course is an ideal opportunity for beginners to be introduced to KNIME Analytics Platform, learn how to use it more effectively, and learn how to create clear, comprehensive reports based on KNIME workflows. The course will be held in Italian.

“Great movie with a nice story!”

What do you think, did the person like the film or hate it?

Most of the time it’s easy for us to decide whether the message of a text is positive or negative. But what if you wanted to automate the process of understanding the sentiment? For example, if you have a lot of customers leaving comments, or people publishing movie reviews, you will want to discern the sentiment and find out who is posting positive or negative messages.

Sentiment analysis is an important piece of many data analytics use cases. Whether it processes customer feedback, movie reviews, or tweets, sentiment scores often contribute an important piece to describing the whole scenario.

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.

KNIME will be in Paris on November 28 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 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.

Our trusted partner, Sistek, is hosting a Course for KNIME Analytics Platform in Istanbul on November 29-30, 2018.

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. You’ll explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, you'll learn about controlling workflows with Loops and Flow Variables. You’ll also get the chance to test everything you learn in the hands-on session. This course is designed primarily for those 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, Gemmacon, is hosting a Course for KNIME Analytics Platform on January 17-18, 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.

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.

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.

Register Now

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