KNIME Course Information

For all KNIME Courses and other KNIME Events, please visit our events overview page.

Here is an overview of all KNIME Courses:

[L1-DS] KNIME Analytics Platform for Data Scientists: Basics
[L1-DW] KNIME Analytics Platform for Data Wranglers: Basics
[L2-DS] KNIME Analytics Platform for Data Scientists: Advanced
[L2-DW] KNIME Analytics Platform for Data Wranglers: Advanced
[L3-DC] KNIME Server Course: Productionizing and Collaboration
[L4-BD] Introduction to Big Data with KNIME Analytics Platform
[L4-DL] Introduction to Neural Networks and Deep Learning
[L4-ML] Introduction to Machine Learning Algorithms
[L4-TP] Introduction to Text Processing
[L4-TS] Introduction to Time Series Analysis

KNIME Online Courses

[L1-DS] KNIME Analytics Platform for Data Scientist: Basics - Online
[L2-DS] KNIME Analytics Platform for Data Scientist: Advanced - Online
[L3-PC] KNIME Server Course: Productionizing and Collaboration - Online

 

[L1-DS] KNIME Analytics Platform for Data Scientists: Basics

This course is designed for those who are just getting started on their data science journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench.

The course then introduces you to KNIME Analytics Platform covering the whole data science cycle from data import, manipulation, aggregation, visualization, model training, and deployment. Find out how to integrate external tools like Python, R, Google Sheets, and others. And lastly, learn how to export your data and create a report for sending to your colleagues. During the course there’ll be hands-on sessions based on real-world use cases.

NOTE: This course replaces our previous two-day KNIME Analytics Platform Course, which is now split into two one-day courses - [L1-DS] KNIME Analytics Platform for Data Scientists: Basics and [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced.

Duration: 1 day

Price: € 750 per user

Download agenda.

Download course material here.

 

[L1-DW] KNIME Analytics Platform for Data Wranglers: Basics

This course is designed for those who are just getting started on their data wrangler journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench.

The course focuses on accessing, merging, transforming, fixing, standardizing, and inspecting data from different sources. It dives into data cleaning and aggregation, using methods such as advanced filtering, concatenating, joining, pivoting, and grouping. With all of this, you’ll learn how to get your data into the right shape to generate insights quickly.

We’ll take you through everything you need to get started with KNIME Analytics Platform, so you can start creating well-documented, standardized, reusable workflows for your (often) repeated tasks. This course lets you put everything you’ve learnt into practice in a hands-on session based on real-world use cases.

Duration: 1 day

Price: € 750 per user

Download agenda.

Download course material here.

 

[L2-DS] KNIME Analytics Platform for Data Scientists: Advanced

This course builds on the KNIME Analytics Platform for Data Scientist: Basics by introducing advanced data science concepts. Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date&Time integrations work, and get a taste for ensemble models, cross validation, and in-database processing.

During the course there’ll be hands-on sessions based on real-world use cases.

NOTE: This course replaces our previous two-day KNIME Analytics Platform Course, which is now split into two one-day courses - [L1-DS] KNIME Analytics Platform for Data Scientists: Basics and [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced.

Duration: 1 day

Price: € 750 per user

Download agenda.

Download course material here.

 

[L2-DW] KNIME Analytics Platform for Data Wranglers: Advanced

This course builds on the KNIME Analytics Platform Course for Data Wranglers: Basics by introducing advanced concepts for building and automating workflows.

Learn all about flow variables, different workflow controls such as loops, switches, and how to catch errors. And lastly learn how to visualize your data, export your results, format your Excel tables, and look beyond data wrangling towards data science, training your first classification model.

During the course there’ll be hands-on sessions based on real-world use cases.

Duration: 1 day

Price: € 750 per user

Download agenda.

Download course material here.

 

[L3-DC] KNIME Server Course: Productionizing and Collaboration

This course dives into the details of the commercial 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, how to schedule report and workflow executions, and more.

Duration: 1 day

Price: € 250 per user

Download course material here.

 

[L4-BD] Introduction to Big Data with KNIME Analytics Platform

This course focuses on how to use KNIME Analytics Platform for in-database processing, predicting values with KNIME, and writing/loading data into a database. Get an introduction to the Apache Hadoop ecosystem and learn how to write/load data into Hadoop. Learn about the KNIME Spark Executor, preprocessing with Spark, machine learning with Spark, and how to export data back into KNIME/Hadoop. This course lets you put everything you’ve learnt into practice in a hands-on session based on the use case: Eliminating missing values by predicting their values based on other attributes.

Duration: 1 day

Price: € 750 per user

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[L4-DL] Introduction to Neural Networks and Deep Learning

Throughout the past decade, the use of deep learning methods is constantly rising. Many more applications in fields like image, sound and video processing, natural language processing, time series analysis, and unstructured data are based on deep learning methods. In this course, we offer the chance to learn more about neural networks in general as well as specific deep learning units. We will start by implementing a feed-forward neural network architecture and training it with the backpropagation algorithm. We will continue to explore more recent advances in the field, such as LSTM and GRU units for sequence analysis and Convolutional Neural Networks for image processing.

Duration: 1 day

Price: € 750 per user

 

[L4-ML] Introduction to Machine Learning Algorithms

This course introduces you to the most commonly used Machine Learning algorithms used in Data Science applications.

At the course we will explore different supervised algorithms for classification and numerical problems such as decision trees, logistic regression, and ensemble models. We will also look at recommendation engines and neural networks and investigate the latest advances in deep learning. In addition, we will examine unsupervised learning techniques, such as clustering with  k-means, hierarchical clustering, and DBSCAN.

We will also discuss various evaluation metrics for trained models and a number of classic data preparation techniques, such as normalization or dimensionality reduction.

Each lesson includes a few hands-on exercises to understand better how the algorithm works and the importance of the various settings.

This course is designed for current and aspiring data scientists who would like to learn more about machine learning algorithms used commonly in data science projects.

Duration: 1 day

Price: € 750 per user

 

[L4-TP] Introduction to Text Processing

This course is about text mining, its theory, concepts, and applications. Specifically, the course focuses on the acquisition, processing and mining of textual data with KNIME Analytics Platform. You will learn how to use the Text Processing Extension to read textual data into KNIME, enrich it semantically, preprocess it, transform it into numerical data, and extract information and knowledge from it through descriptive analytics (data visualization, clustering) and predictive analytics (regression, classification) methods. Course also covers popular text mining applications including social media analytics, topic detection and sentiment analysis.

Duration: 1 day

Price: € 750 per user

Download course material here.

 

[L4-TS] Introduction to Time Series Analysis


This course introduces the main concepts behind Time Series Analysis, with an emphasis on forecasting applications: data cleaning, missing value imputation, aggregation techniques,, creation of a vector/tensor of past values, descriptive analysis, model training (from simple basic models to more complex statistics and machine learning based models), hyperparameter optimization, and model evaluation.

Learn how to implement all these steps using real-world time series datasets. Put what you’ve learnt into practice with the hands-on exercises at the end of the course.

Duration: 1 day

Price: € 750 per user

 

KNIME Online Courses

[L1-DS] KNIME Analytics Platform for Data Scientist: Basics - Online

This course is designed for those who are just getting started on their data science journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench.

The course then introduces you to KNIME Analytics Platform covering the whole data science cycle from data import, manipulation, aggregation, visualization, model training, and deployment.

This course consists of four, one-hour online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15-minute wrap up session.

The course is capped at 40 participants - so register early!

  • Session 1: Introduction to KNIME Analytics Platform
  • Session 2: Data Import and Blending
  • Session 3: Data Manipulation, Aggregation, and Visualization
  • Session 4: Introduction to Data Mining

Duration: 4 x 60-minute sessions + 1 x 15-minute session

Price: €250.00 per user

 

[L2-DS] KNIME Analytics Platform for Data Scientist: Advanced - Online

This course builds on the KNIME Analytics Platform for Data Scientist: Basics by introducing advanced data science concepts.

Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date&Time integrations work, and get a taste for ensemble models, parameter optimization, and cross validation.

This course consists of four, one-hour online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15-minute wrap up session.

The course is capped at 40 participants - so register early!

  • Session 1: Flow Variables
  • Session 2: Workflow Control - Loops, Switch and Try Catch
  • Session 3: Date&Time and Integrations
  • Session 4: Advanced Machine Learning - Ensemble Models, Parameter Optimization, and Cross Validation

Duration: 4 x 60-minute sessions + 1 x 15-minute session

Price: €250.00 per user

 

[L3-PC] KNIME Server Course: Productionizing and Collaboration - Online

This course dives into the details of KNIME Server and KNIME WebPortal. Learn how to use KNIME Server to collaborate with colleagues, automate repetitive tasks, and deploy KNIME workflows as analytical applications and services. Specifically, learn how to share workflows, data, and components with colleagues and among different functions within the company. Learn how to set access rights on your workflows, data, and components, execute workflows remotely on KNIME Server and from the KNIME WebPortal, and schedule report amd workflow executions.

This course also discusses the different roles involved in a data science project, and provides an overview of use cases - all solved using KNIME Server. You’ll also learn how to build and deploy an analytical application using KNIME.

This course consists of three 80-minute online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session.

The course is capped at 25 participants - so register early!

Duration: 3 x 60-minute sessions

Price: €50.00 per user

Download agenda.