本课程面向数据分析师与AI初学者，通过Python实战掌握NLP技术，涵盖文本预处理、情感分析、TF-IDF及NER，构建用户行为分析项目，为进阶LLM打下基础。
原始标题：Natural Language Processing : From Text to Intelligence
本课程面向数据分析师与AI初学者，旨在通过Python实战掌握自然语言处理（NLP）技术，将非结构化文本转化为商业洞察。课程系统讲解文本预处理、特征工程及实体识别，最终通过项目落地提升用户行为分析能力，为进阶LLM打下基础。您可以根据自身需求，进一步了解基于Spacy/NLTK的文本清洗代码、具体数据源分析或特定技术应用的商业落地案例。
Published 8/2026
Created by Rajneet Kaur
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 58m ) | Size: 612.6 MB
Master NLP, Text Preprocessing, Sentiment Analysis, TF-IDF, POS, NER & build a real-world customer analytics project
What you’ll learn
⚡ Build a real-world NLP customer analytics project using Python
⚡ Understand the complete NLP pipeline from raw text to business insights
⚡ Perform text preprocessing using tokenization, stemming, lemmatization, and stopword removal
⚡ Apply Bag of Words, TF-IDF, POS Tagging, and Named Entity Recognition on text data
Requirements
❗ Basic Python knowledge is recommended but not mandatory
❗ No prior NLP or AI experience required
Description
Every day, businesses generate massive amounts of text—from customer reviews and emails to support tickets, surveys, and social media posts. Natural Language Processing (NLP) enables us to transform this unstructured text into meaningful insights that drive better decisions.
In this beginner-friendly course, you’ll learn the core concepts of Natural Language Processing using practical examples and hands-on Python implementation. Rather than diving into complex mathematics, the course focuses on building strong intuition and applying NLP techniques to real-world business problems.
We’ll start by understanding what NLP is, why it has become one of the most important areas of Artificial Intelligence, and where it is used in everyday applications. Using relatable examples and popular movies, you’ll discover how computers interpret and understand human language.
Next, you’ll master the complete NLP pipeline, including text preprocessing techniques such as tokenization, stopword removal, stemming, and lemmatization. You’ll then learn how text is converted into numerical features using Bag of Words and TF-IDF.
The course also covers two of the most widely used NLP techniques—Part-of-Speech (POS) Tagging and Named Entity Recognition (NER)—to understand sentence structure and identify important entities from text.
Finally, you’ll apply everything you’ve learned by building a customer analytics case study using Python, demonstrating how NLP can uncover business insights from customer reviews.
What you’ll learn
✨ Understand the complete NLP workflow
✨ Clean and preprocess text data
✨ Apply stemming, lemmatization, POS tagging, and NER
✨ Convert text into machine learning features using Bag of Words and TF-IDF
✨ Build an end-to-end NLP project using Python
✨ Understand practical NLP applications across industries
Whether you’re a student, aspiring data scientist, AI enthusiast, analyst, or business professional, this course will give you a strong foundation in Natural Language Processing and prepare you to explore advanced NLP and Generative AI topics with confidence.
Who this course is for
⭐ Data analysts, AI ML enthusiasts and aspiring data scientists
⭐ Entrepreneurs and business professionals who want to extract insights from text data
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