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.

Are you curious about KNIME Software?

Do you know the difference between KNIME Analytics Platform and KNIME Server?

Which data sources can KNIME connect to?

Can you run an R script from within a KNIME workflow? A Python script? Which other integrations are available?

How can KNIME help with ETL, data preparation, and general data manipulation? Which machine learning algorithms can KNIME offer?

The Brisbane KNIME Meetup Group is hosting their inaugural KNIME meetup on July 20! It's open for anyone with an interest in data science, KNIME Analytics Platform, and integrations (including Python, R, H2O, and more).

Risk Insights will begin by providing an introduction for KNIME newbies. Forest Grove Technology (a KNIME Trusted Partner), will then share their experiences in working with KNIME over the last years.

Data analysis is a common science nowadays. Data analysis assists in decision making, and a good analysis tool makes this easier.

Data analysis is a common science nowadays. Data analysis assists in decision making, and a good analysis tool makes this easier.

The KNIME for Data Science Group in Bangalore, India, are hosting a learnathon on Saturday, September 1, 2018.

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.

Our Trusted Partner, Crystalloids, are hosting this meetup Amsterdam. It's all about getting the most out of KNIME Analytics Platform and KNIME Integrations.

KNIME Analytics Platform allows users to visually create data workflows, selectively execute some or all analysis steps, and later inspect the results, models, and interactive views. As a data scientist or advanced analyst you might be interested in learning what KNIME can bring you. As a user you might want to be inspired on how to get the most out of KNIME.

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.

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 one day IoT Analytics Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 8, 2018.

Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you are introduced to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn 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.

KNIME is hosting a Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 9-10, 2018.

Course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.

KNIME is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 11, 2018. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held October 9-10, 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.

KNIME is hosting a Big Data Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 12, 2018.

This one day Big Data Course for KNIME Analytics Platform 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.

KNIME is hosting a Course for KNIME Analytics Platform in Bern, Switzerland on October 15-16, 2018.

Course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.

KNIME is hosting a Course for KNIME Server in Bern, Switzerland on October 17, 2018. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held October 15-16, 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.