• Students interested in Data Science Industry and aspiring Data scientists and analysts.
• Professionals looking for smarter and efficient techniques in their data science journeys
• Anyone interested in understanding Data and Predictive Analytics
• Open Source enthusiasts looking for alternatives to existing software tools

• No Prerequisite required.
• No previous Programming experience required.

Course Outline:

Session 1:  KNIME – Basics

• KNIME install and set up
• Navigating the KNIME interface
• Creating a basic Workflow
• Import, manipulate, and export data using different KNIME nodes.

Session 2:  Exploratory Data Analysis  and ML using KNIME

• Understand the concept of data preprocessing and data transformation
• Explore various data manipulation techniques
• Apply EDA techniques to gain insights from real datasets.
• Visualizing data using different types of charts and graphs within KNIME.
• Build and evaluate machine learning models using KNIME’s machine learning nodes.
• Deploy ML models for prediction using KNIME.

Hands-On Component:  Case Studies and Practical Applications

• Analyse real-world case studies that demonstrate the use of KNIME in various industries and scenarios.
• Work on hands-on projects to solve practical problems.
• Learn best practices for organizing, documenting, and structuring workflows efficiently.
• Complete a comprehensive project using KNIME.

Training Material Provided: Yes (Digital Format)