KNIME 09: Importing Data into KNIME | Excel, CSV & Database Connection | KNIME Tutorial

Welcome to the playlist Data Analytics using KNIME for Business Decision Making. In this video, you will learn how to import data into KNIME Analytics Platform from multiple sources, including Excel files, CSV files, and databases. Data import is the first and most critical step in any data analytics project, as accurate data enables better business decisions. This tutorial is specially designed for MBA students, management learners, research scholars, and beginners in business analytics who want to understand how organisations work with real-world data. What You Will Learn in This Video 1. How to use the Excel Reader node in KNIME 2. How to import CSV datasets 3. Introduction to database connectivity in KNIME 4. How to preview and verify imported data Why is this topic Important? In real business environments, data comes from different sources such as: 1) Sales reports in Excel 2) System exports in CSV 3) Enterprise databases like MySQL or SQL Server Understanding how to connect and import this data is a core skill in Business Analytics, Data Analytics, and Decision Science. This session is useful for: MBA Business Analytics students, PhD scholars and researchers, Beginners in Data Analytics, Management professionals, and Anyone learning no-code analytics tools. #knime #dataanalytics #businessanalytics #mba #decisionmaking #datadrivendecisionmaking