Data Science with KNIME Analytics Platform Training Course

Course Code



21 hours (usually 3 days including breaks)



  • A basic understanding of making sense of the data.
  • Experience with fundamental data processing.


  • data analysts
  • data scientists
  • business analysts


KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This 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

This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs.

It is targeted for the audience that doesnt know programming and intends to use cutting edge tools to implement analytics scenarios

By the end of this training, participants will be able to:

  • Install and configure KNIME.
  • Build Data Science scenarios
  • Train, test and validate models
  • Implement end to end value chain of data science models

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course or to know more on this program, please contact us to arrange.




NobleProg and KNIME design, build and deliver end-to-end advanced analytics solutions that are customized to each customer's business needs.

By combining KNIME's leading open solution for data driven innovation with NobleProg's domain and technical expertise in analytics, we help our customers reduce costs and gain data-driven insights for better business outcomes.

Course Outline

Day 1:

Module 1: KNIME Analytics Platform: Overview

  • Installation
  • Starting and customizing KNIME Analytics Platform
  • Nodes, data and workflows
  • The data science cycle

Module 2: Data Access

  • Read Data from file
  • Accessing REST Services

Module 3: ETL and Data Manipulation

  • Row & Column filtering
  • Aggregators
  • Join & Concatenation
  • Transformation: Conversion, Replacement, Standardization, and New Feature Generation
  • Data Preparation for Time Series Analysis

Day 2:

Module 4: Exporting Data

  • Write to a file
  • Generating a Report

Module 5: Data Visualization

  • Interactive Univariate Visual Exploration
  • Interactive Multivariate Visual Exploration
  • Advanced Visualization Features

Module 6: Predictive Analytics using KNIME

  • Data Mining Basic Concepts
  • Regressions
  • Decision Tree Family
  • Model Evaluation

Day 3:

Module 7: Controlling the flow

  • Workflow Parameterization: Flow Variables
  • Re-executing Workflow Parts: Loops
  • Cleaning up your Workflow

Module 8: Hands on KNIME Analytics Platform based Case Study



Related Categories

Related Courses

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

We are looking to expand our presence in Latvia!

As a Business Development Manager you will:

  • expand business in Latvia
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!

This site in other countries/regions