KNIME for Data Science and Data Cleaning

In this 2 hr course, you will explore the features of KNIME for efficient data cleaning and preparation. You will work through hands-on challenges that solve real-world data issues and learn methods to apply KNIME for different machine learning and NLP workflows without any coding experience required.

What I will be able to do after this course

• Leverage KNIME's workflow tools for advanced data cleaning.
• Apply pre-trained TensorFlow models within KNIME workflows.
• Perform foundational NLP tasks using KNIME nodes.
• Master workflow strategies to tackle common data preparation issues.
• Transition from tools like Excel to KNIME for ETL and data management.

Course Instructor(s)

Dan We is an experienced data scientist and educator specializing in tool-based data analysis and preparation techniques. With years of professional work and teaching, Dan combines practical insights with an engaging teaching style to empower learners in solving complex data science challenges using accessible software like KNIME.

Who is it for?

This course is ideal for data scientists and analysts familiar with KNIME who aim to refine their data preparation skills. Prior experience with basic machine learning concepts is useful for some modules. Target learners often face recurring data cleaning challenges and are interested in transitioning to tools for more efficient workflows.