📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Basics of Natural Language Processing, from foundations to a certified capstone project.
Outline
What is Natural Language Processing? • Why NLP is Important in AI • Human Language vs Machine Understanding • Real-World Applications of NLP
Outline
What is Text Data? • Words, Sentences, Documents, and Corpora • Basic Text Cleaning Concepts • Tokenization and Stop Words
Outline
Introduction to Text Classification • Sentiment Analysis Concepts • Keyword Extraction and Text Summarization • Basic Search and Recommendation Ideas
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Introduction to Language Models • Chatbots and Virtual Assistants • NLP in Translation, Search, and Customer Support • Responsible Use of NLP Systems
Outline
NLP in Business, Healthcare, Education, and Research • Career and Learning Pathways in NLP • Introduction to Advanced NLP and Generative AI • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Basics of Natural Language Processing
e-Certificate and e-Marksheet issued on successful completion.
