Data Science with KNIME

Data Science with KNIME Exam

Learning Data Science with KNIME means gaining the ability to turn raw data into insights without needing deep coding skills. KNIME provides a drag-and-drop interface where tasks such as cleaning messy data, combining multiple datasets, and building predictive models can be done visually. It allows professionals to explore big datasets, run advanced algorithms, and present results in charts and dashboards.
In simpler terms, KNIME acts like a toolbox for data handling and analysis. Whether you want to understand business performance, predict customer needs, or test scientific hypotheses, KNIME makes the process straightforward and visual. It bridges the gap between complex programming and practical, everyday data analysis.

Who should take the Exam?

This exam is ideal for:

• Data Analysts
• Business Intelligence Professionals
• Aspiring Data Scientists
• Research Analysts
• Marketing Analysts
• Students and graduates in technology or business fields

Skills Required

• Logical and analytical thinking
• Basic knowledge of data concepts
• Problem-solving with data
• Knowledge of Python/R

Course Outline

• Domain 1 - Introduction to KNIME
• Domain 2 - Data Handling in KNIME
• Domain 3 - Data Cleaning and Preparation
• Domain 4 - Exploratory Data Analysis (EDA)
• Domain 5 - Machine Learning with KNIME
• Domain 6 - Visualization and Reporting
• Domain 7 - Automation and Workflow Management
• Domain 8 - Real-World Use Cases