Course Overview

This 2-day course introduces you to knowledge discovery using unstructured data from text documents, websites, and social media platforms. You’ll learn the full workflow of text mining—from preprocessing raw data to applying statistical text-processing techniques and advanced machine learning models like Naive Bayes, Support Vector Machines (SVM), and clustering. By the end, you’ll be able to perform classification, clustering, and sentiment or opinion analysis using RapidMiner.

In a world where most data is unstructured, the ability to extract insights from text, web, and social media sources is a highly sought-after skill. These techniques empower you to detect trends, understand customer sentiment, and uncover hidden patterns—critical capabilities for data scientists, business analysts, and marketing strategists. Mastering this skill set gives you a competitive edge in industries ranging from customer experience to fraud detection.