Bootcamp for KNIME Analytics Platform

For users new to KNIME and data science, or experienced users of other data science tools.
Free tutorial
Rating: 4.5 out of 5 (1,750 ratings)
18,448 students
English
English
In this course, students will learn how to get started using the free, open source KNIME Analytics Platform to load, blend, transform, and process data from multiple sources. They'll also be introduced to machine learning algorithms to solve classification problems. We'll do this by covering different features and nodes available within the software package.

Requirements

  • There are no prequisites for this course. We assume that you have never downloaded or used KNIME Analytics platform before, and that you may be new to data science.

Description

If you've never used KNIME Analytics Platform before, this is the course for you. You can use KNIME Analytics Platform to create visual workflows with an intuitive, drag and drop style graphical interface, without the need for coding.

We'll start with installation and setup of the software, and present detailed materials on its features. We'll move on to some practical application of data blending from different sources, and use real datasets to show you all the different way you can transform, clean, and aggregate information. Finally, we'll introduce some machine learning algorithms for classification, and show you how to build your own models.

More than 50 videos are provided, along with some exercises for you to work on independently. By the end of the course, we want you to feel comfortable with the interface of KNIME Analytics Platform, be able to perform common processing tasks with your own data, and start putting predictive analytics into practice.

Who this course is for:

  • Beginner analysts and aspiring data scientists looking for a graphical data science tool
  • Experienced data scientists and business analysts migrating from other software tools

Course content

4 sections54 lectures4h 13m total length
  • Course Overview
    02:41
  • Installation and the KNIME Workspace
    01:32
  • Installing KNIME Analytics Platform for Windows (Optional)
    03:10
  • Installing KNIME Analytics Platform for Mac (Optional)
    03:01
  • Installing KNIME Analytics Platform for Linux (Optional)
    01:55
  • Virtual Tour Through KNIME Analytics Platform
    11:54
  • The KNIME Analytics Platform Welcome Page
    03:37
  • The KNIME Workbench
    06:26
  • What is a Node? What is a Workflow?
    01:26
  • The EXAMPLES Server
    03:53
  • Workflows and Workflow Groups
    03:44
  • The Node Repository
    08:12
  • Importing and Exporting Workflows
    06:17
  • Node Creation and Basic Commands
    04:02
  • Data Table Structure
    04:28
  • Annotations and Comments
    03:02
  • Customizing KNIME Analytics Platform
    06:40
  • Installing Extensions
    03:16
  • Simple Metanodes and Wrapped Metanodes
    07:13
  • Section 1 Multiple Choice
    6 questions

Instructors

Data Science and Evangelism
KNIME Inc
  • 4.5 Instructor Rating
  • 1,750 Reviews
  • 18,448 Students
  • 1 Course

We're the Data Science and Evangelism team at KNIME!


At KNIME, we build software for fast, easy and intuitive access to advanced data science, helping individuals and organizations drive innovation. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data - and we want to help you do the same.

Data Science and Evangelism
KNIME AG
  • 4.5 Instructor Rating
  • 1,750 Reviews
  • 18,448 Students
  • 1 Course

We're the Data Science and Evangelism team at KNIME!


At KNIME, we build software for fast, easy and intuitive access to advanced data science, helping individuals and organizations drive innovation. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data - and we want to help you do the same.