KNIME Training

Live Online & Classroom Enterprise Training

Introduces workflow-based data analytics using KNIME. Emphasizes automation, integration, and visualization for data-driven insights.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is KNIME Training about?

KNIME (Konstanz Information Miner) is a leading open-source data analytics platform that empowers professionals to design visual workflows for data integration, processing, modeling, and reporting. This course introduces learners to KNIME’s drag-and-drop interface, nodes, and extensions, making it easy to work with structured and unstructured data. Participants will explore data preprocessing, machine learning integration, and reporting features, enabling them to solve real-world analytics problems. By the end of the course, learners will be able to design and automate end-to-end data workflows with KNIME.

What are the objectives of KNIME Training ?

Understand KNIME’s architecture and workflow-based approach.
Import, clean, and transform data using KNIME nodes.
Build predictive models with machine learning integrations.
Automate workflows for data analysis and reporting.
Visualize insights and share results with stakeholders.

Who is KNIME Training for?

Data Analysts and Business Analysts.
Data Scientists looking for low-code solutions.
Researchers working with structured and unstructured data.
Students and professionals starting in data analytics.
BI Developers seeking to simplify data workflows.

What are the prerequisites for KNIME Training?

Prerequisites:

Basic understanding of data analysis concepts.
Familiarity with statistics and data preprocessing.
Knowledge of Excel or any analytics tool (helpful but not mandatory).
Interest in low-code/no-code data platforms.
Curiosity to explore real-world data applications.

Learning Path:

Introduction to KNIME and Workflow Basics
Data Import, Cleaning, and Transformation
Machine Learning and Predictive Analytics with KNIME
Visualization and Reporting Techniques
Workflow Automation and Real-World Case Studies

Related Courses:

Data Visualization with Power BI or Tableau
Data Analytics with Python
Machine Learning Fundamentals
Data Storytelling

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1 - Welcome to the World of KNIME

Introduction to KNIME

Module 2- KNIME 5 Lastest Update

Introduction to KNIME Interface Deep Dive

Modern UI vs Classic Interface

A brief look into the case study data sources

Case Study Importing and cofiguring Excel Data

Efficiently importing multiple Files in KNIME

Introduction to Loops in KNIME

Datacleaning and Saving Files to disk

Dataenrichment Extracting Currency information from the web

Final Cleaning steps handling missing values

Combining our cleaned data

Data Transformation and Cleaning with KNIME

Connecting KNIME with Power BI and Tableau

Visualizing Our Data in Power BI

A glimpse into Data Visualization in KNIME

Machine Learning in KNIME customer churn prediction

Generative AI in KNIME

Module 3- KNIME Case Study new interface

Switch between old and new interface in KNIME

Getting Started with KNIME 5

Let’s understand the case study data

Importing Case Study data into KNIME

Importing Data more efficientlly into KNIME

Introduction to Loops in KNIME

Cleaning and saving the data

Extracting Exchange rates from the Web with KNIME

Combining the different files together

Combining our data together

Dataprep Cleaning our data with KNIME

KNIME with Power BI and Tableau

Introduction to data visualization with KNIME and Power BI

Module 4- More KNIME fundamental concepts (classic interface used!)

Install the latest Table to pdf node for the next lecture

KNIME Workflow Automation Time or Event Trigger

Knime Workflow Automation Excecution Time and Workflow Bottlenecks

KNIME terminate workflow with loops with breakpoint

UPDATE Case Conditions in KNIME including Flow Variables

Handling no data in KNIME

Error Handling with Try Catch Nodes in KNIME

Excourse Java IF Switch with KNIME an Introduction

KNIME Error Handling for API requests

Workflow interaction invokes another workflow in KNIME update

Databases in KNIME an Introduction

Databases in KNIME Create Database Tables

Database Operations in KNIME

Who is the instructor for this training?

The trainer for this KNIME Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree