KNIME for Data Science and Data Cleaning
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
- Preview00:55
- 00:23Before you start
- 00:03Download all resources
- Preview07:35
- Preview08:22
- 10:266 Reading multiple Excel files - benefits of loops
- 08:197 Excel files with different table structure in KNIME
- 13:078 Useful Nodes - Column Aggregations
- 08:489 Countries - data cleaning challenge
- 07:0610 Merge Table Challenge in KNIME
- 13:3611 A Json file challenge in KNIME
- 08:4812 Create the Neural Network h5 model file to be used in Knime
- 08:1213 Mismatching addresses - Introduction to similarity search in KNIME
- 10:1514 Tensorflow Neural Network Regression Implementation in Knime
- 11:4215 Transferlearning in Knime using Python scripts
- 08:5916 Introduction to NLP in KNIME
- 09:0917 NLP in KNIME 2 Data preprocessing and cleaning
- 08:5618 NLP in KNIME 3 bag of words and document vector
- 07:3019 NLP in KNIME Choose ML Algorithm and score our model
- 00:15Want to learn more KNIME?
- 00:3120 Congratulations
Instructor
![Dan We](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 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!