KNIME Self-Paced Courses

Courses are organized by level: L1 basic, L2 advanced, L3 deployment, L4 specialized.

In each course, go through the lessons with ~5 minutes videos, hands-on exercises, and knowledge-check questions.

Select your course, enroll, and start learning at your own pace.

L1 and L2 Courses

Two parallel tracks where you learn to use the tool KNIME Analytics Platform for either data science (DS) or data wrangling (DW) tasks in two steps: basic (level L1) and advanced (level L2).

[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.
 
Course content:

  • Lesson 1. Overview of KNIME Analytics Platform & Data Access
  • Lesson 2. Data Cleaning & Visualization
  • Lesson 3. Bringing Things Together
  • Lesson 4. Machine Learning & Data Export

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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[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.

Course content:

  • Lesson 1. Overview of KNIME Analytics Platform
  • Lesson 2. Data Access
  • Lesson 3. Data Cleaning
  • Lesson 4. Bringing Things Together
  • Lesson 5. Tips & Tricks

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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

This course builds on the [L1-DS] KNIME Analytics Platform for Data Scientist: Basics course 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.

Course content:

  • Lesson 1. Date&Time & Databases
  • Lesson 2. Flow Variables & Components
  • Lesson 3. Workflow Control
  • Lesson 4. Advanced Machine Learning

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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

This course builds on the [L1-DW] KNIME Analytics Platform Course for Data Wranglers: Basics course 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, and look beyond data wrangling towards data science, training your first classification model.

Course content:

  • Lesson 1. Visualization
  • Lesson 2. Data Export
  • Lesson 3. Workflow Abstraction
  • Lesson 4. Loops
  • Lesson 5. Introduction to Data Science

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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L3 Course

At level L3, you learn about the enterprise related features of KNIME Server: options for easy and safe deployment, integration with company policies around security and governance, model monitoring, and more.

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

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 and workflow executions.

Course content:

  • Lesson 1. Collaboration
  • Lesson 2. Automation and Deployment
  • Lesson 3. Management

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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L4 Courses

L4 level courses are advanced courses that focus on a specific analytics field, such as big data, text processing, or machine learning algorithms. These courses combine a theoretical introduction with a practical implementation in KNIME. So if you’re already competent with KNIME Analytics Platform, L4 level courses are just right for you.

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

This course focuses on how to use KNIME Analytics Platform for in-database processing and writing/loading data into a database. Get an introduction to the Apache Hadoop ecosystem and learn how to write/load data into your big data cluster running on-premise or in the cloud on Amazon EMR, Azure HDInsight, Databricks Runtime, or Google Dataproc. Learn about the KNIME Spark Executor, preprocessing with Spark, machine learning with Spark, and how to export data back into KNIME/your big data cluster.
 
All functionalities introduced in this course are part of the freely available KNIME big data extensions.

Course content:

  • Lesson 1. Let’s Practice on a Traditional Database
  • Lesson 2. A Quick Intro to Big Data
  • Lesson 3. In-Database Processing on Hadoop
  • Lesson 4. Ready for Spark?

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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[L4-TP] Introduction to Text Processing

This course is about text mining, its theory, concepts, and applications. Specifically, the course focuses on the acquisition and processing 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 methods. The course also covers popular text mining applications including topic detection and sentiment analysis.

Course content:

  • Lesson 1. Intro to Text Processing and Importing Text
  • Lesson 2. Reading Documents and Adding Tags
  • Lesson 3. Cleaning and Transformation
  • Lesson 4. Different Applications

NOTE: If you don't have a KNIME account, please create one and return to this page to continue.

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