Unlocking Textual Data: A Beginner's Journey Through Python, NLTK, and spaCy | HackerNoon
Briefly

The TDM course is aimed at individuals with limited coding backgrounds, teaching them how to analyze textual data effectively with Python. It comprises three three-hour sessions, each beginning with lectures followed by discussion and feedback. Instructors include experienced academics from the University of Edinburgh, specializing in Natural Language Processing and Computer Science. Participants learn to process text by reading, loading, and tokenizing documents through structured lessons designed to build on previous content, culminating in the ability to analyze large data sets of text effectively.
Our team comprises three early career academics with expertise in Natural Language Processing and Computer Science, designed to teach non-coders data analysis using Python.
The TDM course targets individuals with limited coding experience, equipping them with essential tools to interrogate and analyze large sets of textual data.
Participants learn through three three-hour sessions that build on each other, integrating lectures with discussions and feedback to reinforce newly acquired skills.
The course begins with foundational skills in Python for text processing, gradually introducing more complex analysis and visualization techniques across multiple sessions.
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