Data Science with KNIME Online Course

Data Science with KNIME Online Course

This course teaches efficient data preparation and cleaning using KNIME, a versatile platform with both drag-and-drop simplicity and support for Python, R, and Java scripting. You’ll learn to import multiple files, use loops, perform web scraping, apply scripting, optimize hyperparameters, and select features. The course also introduces basic machine learning workflows and key KNIME nodes. By the end, you’ll be able to streamline data cleaning and preparation tasks, delivering insights faster, whether or not you have coding experience.

Who should take this Course? 

The Data Science with KNIME Online Course is ideal for data analysts, business intelligence professionals, and aspiring data scientists who want to build and deploy data workflows without extensive coding. It is also valuable for students, beginners, and professionals from technical or non-technical backgrounds seeking hands-on experience in data analytics, machine learning, and automation using the KNIME platform.

What you will learn

• Enhance your basic KNIME skills already acquired
• Increase your productivity and save time in your data preparation tasks
• Discover what kind of loops are available and how to use them
• Learn how to use Python in KNIME
• Learn how to do data science in KNIME with and without coding
• Learn basic machine learning workflows and helpful nodes

Course Outline 

Data Science and Data Preparation with KNIME

• Course Introduction
• Reading Multiple CSV Files in Bulk into KNIME Update
• Reading Multiple Excel Files in Bulk into KNIME Update
• A Great Helper Node for Time Series Analysis in KNIME
• Examples of How to Use Loops in KNIME
• More on Loops in KNIME - Several Ways to Get the Same Result
• Loops - How to Split Data into Multiple Output Files
• Loops Recursion in KNIME
• Webscraping with KNIME
• Webscraping with KNIME - Financial Data
• Scripting - How to Use Python in KNIME
• Python in KNIME - Further Examples
• Hyperparameter Optimization in KNIME - Data Preparation
• Hyperparameter Optimization for Machine Learning Models Using Loops in KNIME
• Feature Selection in KNIME
• Machine Learning Prediction Process
• KNIME Logout

Older Videos KNIME Version Before 4.3

• Reading Multiple CSV Files in Bulk into KNIME
• Read Multiple Excel Sheets in Bulk into KNIME
• Loops How to Split Data into Multiple Output Files
• Python in KNIME - Further Examples