Overview
In this 4-hour course, discover how to efficiently perform data preparation and data science with KNIME, a versatile and flexible tool. Whether you're working with machine learning workflows or simply preparing data, this course will guide you through practical techniques using a drag-and-drop interface, suitable for users of all coding skill levels.
What I will be able to do after this course
- Understand how to efficiently import, clean, and prepare data in KNIME.
- Learn to apply loops and scripts to create flexible data workflows.
- Gain insights into leveraging KNIME with Python for advanced functionalities.
- Develop basic machine learning workflows using KNIME's intuitive tools.
- Improve productivity in data preparation tasks without needing to code.
Course Instructor(s)
Dan We is an experienced data scientist with a passion for teaching efficient and practical data science workflows. With years of experience working with tools like KNIME, he specializes in making complex concepts approachable and actionable. Dan focuses on delivering hands-on learning experiences to empower learners to achieve their goals in data analysis and preparation.
Who is it for?
This course is ideal for data analysts and aspiring data scientists who seek to enhance their data preparation skills. It is perfect for those familiar with KNIME basics and looking to unlock its full potential for intermediate and advanced tasks. Basic machine learning knowledge is recommended for some modules, but the course emphasizes practical, no-code solutions.
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