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30-Day Money-Back Guarantee

This course includes:

  • 3 hours on-demand video
  • 3 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
IT & Software IT Certification KNIME

KNIME for Data Science and Data Cleaning

Data Science with KNIME , How to do data cleaning with KNIME, AI Machine learning with KNIME, ETL with KNIME, data prep
Rating: 4.7 out of 54.7 (8 ratings)
52 students
Created by Dan We
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • How to use Tensorflow in KNIME
  • How to do DataScience 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
  • Hopefully a higher efficiency in data preparation and data science related work
  • Enhance your basic KNIME skills already acquired ( for example in my KNIME crash course on udemy)

Requirements

  • for beginners with KNIME my KNIME crash course on udemy is highly recommended to take first
  • No extra costs - KNIME can be downloaded for free
  • Basic knowledge of machine learning is certainly helpful for the later lectures in this course
  • The course complements my other Data science course with KNIME on udemy (I try to keep the overlapp as little as possible to give you the best kind of experience)

Description

Data science and Data cleaning and Data preparation with KNIME

Hello everyone hope you are doing fine.

Let’s face it. Data preparation ,data cleaning, data preprocessing (whatever you want to call it) is most often the most tedious and time consuming work in the data science / data analysis area.

So many people ask: How can we speed up the process and be more efficient?

Well one option could be to use tools which allow us to speed up the process (and sometimes reduce the amount of code we need to write).

Meet KNIME



A great tool which comes to our rescue. KNIME allows us to do data preparation / data cleaning in a very appealing drag and drop interface. (No coding experience is required yet it still allows us if we want to use languages like R, Python or Java. So, we can code if we want but don’t have to!). The flexibility of KNIME makes that happen. WITH KNIME we can also do Data Science, so machine learning and AI with or without coding.

And the best: The Desktop version is completely free!


So, is it worth it to dive deeper into KNIME? ABSOLUTELY!


This course is the third KNIME class and expands the knowledge you have acquired in the other classes

"KNIME - a crash course for beginners"

"Data science and Data preparation with KNIME"


We do not cover the basics (e.g. the interface, basic data import and filter nodes,...) here. If you need  to refresh your knowlege or you have not had the chance to learn the basics I would highly recommend to check at least the crash course first (which covers all the basics in a great and funny case study!)

In this class we extend our skills by

  • learning to use additional helpful KNIME nodes not covered in the other two classes

  • solve data cleaning challenges together

  • use pretrained models in tensorflow in KNIME (involves Python coding)

  • learn the fundametals for NLP tasks (Natural language processing) in KNIME using only KNIME nodes (without any additional coding)

If that does not sound like fun, then what? So, if that is interesting to you then let’s get started!

Are you ready? 

Who this course is for:

  • (Aspiring) data scientists
  • (Aspiring) data analysts
  • Everyone interested in the data analysis , data analytics and data science area
  • data scientists / analysts who want to work smarter faster and more efficient
  • Excel users who want to learn better ways to prepare data. Excel is nice but KNIME is AWESOME!

Course content

2 sections • 24 lectures • 2h 50m total length

  • Preview00:55
  • Before you start
    00:23
  • Download all resources
    00:03
  • Preview07:35
  • Preview08:22
  • 6 Reading multiple Excel files - benefits of loops
    10:26
  • 7 Excel files with different table structure in KNIME
    08:19
  • 8 Useful Nodes - Column Aggregations
    13:07
  • 9 Countries - data cleaning challenge
    08:48
  • 10 Merge Table Challenge in KNIME
    07:06
  • 11 A Json file challenge in KNIME
    13:36
  • 12 Create the Neural Network h5 model file to be used in Knime
    08:48
  • 13 Mismatching addresses - Introduction to similarity search in KNIME
    08:12
  • 14 Tensorflow Neural Network Regression Implementation in Knime
    10:15
  • 15 Transferlearning in Knime using Python scripts
    11:42
  • 16 Introduction to NLP in KNIME
    08:59
  • 17 NLP in KNIME 2 Data preprocessing and cleaning
    09:09
  • 18 NLP in KNIME 3 bag of words and document vector
    08:56
  • 19 NLP in KNIME Choose ML Algorithm and score our model
    07:30
  • Want to learn more KNIME?
    00:15
  • 20 Congratulations
    00:31

  • Preview05:03
  • 6 Reading multiple Excel files - benefits of loops
    07:15
  • 7 Excel files with different table structure in KNIME
    05:32

Instructor

Dan We
BI Expert, Trainer, Datalover
Dan We
  • 4.4 Instructor Rating
  • 9,483 Reviews
  • 40,861 Students
  • 52 Courses

Dan is a 31 year old entrepreneur ,data scientist  and data analytics / visual analytics consultant. He holds a master degree and is certified in Power BI as well as a Qualified Associate in Tableau software. He is currently working in Business Intelligence field and helps major companies to get key insights from their data to deliver long term growth and outpace their competitors.

He is committed to support other people by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path.

"Helping others is the greatest joy"

"In order to do the impossible you need to see the invisible"

"If you don't like where you are then change. Life is too short!" 

You can do it!

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