KNIME for Data Science and Data Cleaning

person icon Packt Publishing

KNIME for Data Science and Data Cleaning

Perform data science with KNIME. Learn how to do data cleaning, AI machine learning, ETL, and data preprocessing with KNIME

updated on icon Updated on Oct, 2023

language icon Language - English

person icon Packt Publishing

architecture icon IT & Software,KNIME

Lectures -21

Duration -2.5 hours


30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 19,000+ top Tutorialspoint courses anytime, anywhere.

Course Description

Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool.

In this course, we will learn how to use additional helpful KNIME nodes not covered in the other two classes. Solve data cleaning challenges together for different datasets. Use pre-trained models in TensorFlow in KNIME (involves Python coding).

Also, learn the fundamentals for NLP tasks (Natural Language Processing) in KNIME using only KNIME nodes (without any additional coding).

By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code.

All the resources and support files for this course are available at https://github.com/PacktPublishing/KNIME-for-Data-Science-and-Data-Cleaning


This course is designed for aspiring data scientists and data analysts who want to work smarter, faster, and more efficiently. This course is also for anyone who wants to learn how to effectively clean data or encounter various data issues (for example, format) in the past and is looking for a solid solution, and who is familiar with KNIME as no basics are covered in this course. Note: Tableau Desktop and Microsoft Power BI Desktop are optional.


What will you learn in this course:

  • How to use TensorFlow in KNIME
  • How to do data science in KNIME with and without coding
  • How to solve data cleaning and data preparation challenges
  • How to replace Excel and start KNIME for ETL and data cleaning issues
  • Examples of data science machine learning workflows with KNIME


What are the prerequisites for this course?

  • Basic knowledge of machine learning is certainly helpful for the later lectures in this course
KNIME for Data Science and Data Cleaning


Check out the detailed breakdown of what’s inside the course

18 Lectures
  • play icon Welcome to KNIME 00:47 00:47
  • play icon Copying or Moving Files with KNIME 07:35 07:35
  • play icon Reading multiple Excel files - Potential Errors and Solutions 08:22 08:22
  • play icon Reading Multiple Excel Files - Benefits of Loops 10:26 10:26
  • play icon Excel Files with Different Table Structures in KNIME 08:19 08:19
  • play icon Useful Nodes - Column Aggregations 13:07 13:07
  • play icon Countries - Data Cleaning Challenge 08:48 08:48
  • play icon Merge Table Challenge in KNIME 07:06 07:06
  • play icon A JSON File Challenge in KNIME 13:36 13:36
  • play icon Create the Neural Network h5 Model File to be Used in KNIME 08:48 08:48
  • play icon Mismatching Addresses - Introduction to Similarity Search in KNIME 08:12 08:12
  • play icon TensorFlow Neural Network Regression Implementation in KNIME 10:15 10:15
  • play icon Transfer Learning in KNIME Using Python Scripts 11:42 11:42
  • play icon Introduction to NLP in KNIME Part 1 08:57 08:57
  • play icon NLP in KNIME Part 2 - Data Preprocessing and Cleaning 09:09 09:09
  • play icon NLP in KNIME Part 3 - Bag of Words and Document Vector 08:56 08:56
  • play icon NLP in KNIME - Choose ML Algorithm and Score Our Model 07:30 07:30
  • play icon Congratulations 00:23 00:23
Older Videos KNIME Version Before 4.3
3 Lectures

Instructor Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

Course Certificate

User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.

sample Tutorialspoint certificate

Our students work
with the Best

Related Video Courses

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us