No Code Data Science using KNIME

Description:

KNIME Analytics Platform is an open-source software with a highly intuitive and visual interface. The KNIME platform allows users to build analyses of any complexity level - from automating spreadsheets to ETL to machine learning. KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. KNIME is great for database manipulation and wrangling and has a visual drag and drop interface that allows for advanced data analytics operations.

This introductory training in KNIME would provide a basic and intermediate level understanding of the KNIME interface and how workflows can be created. Participants will also learn about various Machine Learning Algorithms and how they can be implemented in KNIME and develop an understanding for choosing ML models according to specific business scenarios.

Duration: 1 Day

Course Code: BDT315

Learning Objectives:

After this course, participants will be able to:

• Understand Basics of KNIME
• Build powerful and efficient workflows in KNIME
• Perform ETL, Data Cleaning  and Visualization Techniques
• Build ML Models using KNIME
• Learn how to select different ML models for different Data sets and scenarios.
• Work on Practical Use Cases

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

• 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

• 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

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)