With the rapid growth of text data across industries, knowing how to clean and process it is key to extracting valuable insights. This course gives you hands-on experience with text preprocessing, the foundation of any natural language processing (NLP) workflow.

You will start the course by using regular expressions to identify and edit patterns in text before tackling tasks like converting text to lowercase, replacing characters, and removing unwanted elements. As you progress, you will handle more advanced tasks such as tokenizing text into words or n-grams and filtering out irrelevant stop words. Finally, you will clean messy text by standardizing variations and using techniques like stemming.

By the end of the course, you will be equipped to prepare large text datasets for deeper analysis, paving the way for sentiment analysis and other advanced NLP tasks