Data Science with KNIME Online Course
Data Science with KNIME Online Course
Data preparation and cleaning can be time-consuming, but KNIME simplifies the process with its user-friendly drag-and-drop interface. Whether you're a coding expert or prefer a no-code approach, KNIME offers flexibility for all users. This course covers importing multiple files, loops, web scraping, scripting with Python in KNIME, hyperparameter optimization, and feature selection. You'll also explore basic machine learning workflows and essential nodes. By the end of this course, you'll master KNIME for efficient data cleaning and preparation.
Who is this Course for?
This course is tailored for aspiring data scientists and analysts seeking to work more efficiently and effectively. It’s ideal for anyone aiming to master data cleaning techniques or those who have faced data challenges, such as formatting issues, and are looking for reliable solutions. Familiarity with KNIME is required, as the course does not cover the basics. A basic understanding of machine learning will also be beneficial for later sections of the course.
What you will learn
- Basic KNIME skills
- Increase your productivity
- Discover what kind of loops are available and how to use them
- How to use Python in KNIME
- How to do data science in KNIME
- Basic machine learning workflows and helpful nodes
Course Table of Contents
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
