Course Introduction
Data Science: Natural Language Processing (NLP) in Python, created by Lazy Programmer, Inc., teaches how to build real NLP applications using Python. Updated in November 2025, the course focuses on practical projects like spam detection, sentiment analysis, cipher decryption, article spinning, and latent semantic analysis.
- Instructor: Lazy Programmer, Inc.
- Last Updated: November 2025
- Duration: ~12 hours
- Rating: ★4.7 / 5
- Learners: 52,350+
- Price Range: ~$9–$12 during Udemy sales
- Access: Lifetime (Mobile + TV)
- Certificate: Udemy Certificate of Completion
Key Highlights
- Hands-on NLP training with clear, practical examples
- Build multiple real systems entirely in Python
- No heavy math – fully coding focused
- Learn foundations behind models like ChatGPT, GPT-4, DALL·E, and Midjourney
- Work with Markov models, probabilistic models, and classic NLP tools
- Great for Python developers, ML beginners, and data science learners
What You Will Learn
Practical NLP Systems
- Build your own cipher decryption algorithm
- Create a spam detection system in Python
- Build sentiment analysis models
- Perform Latent Semantic Analysis (LSA / LSI)
- Create a simple article spinner
- Work with text processing, language models, and Markov chains
Core NLP Concepts
- Tokenization, text cleaning, and feature extraction
- N-gram models and probability-based language modeling
- TF-IDF and classic NLP workflows
- Understanding foundational ideas used in modern AI models
Requirements
- Basic Python knowledge
- Ability to install libraries like NumPy, SciPy, Scikit-learn, Matplotlib, BeautifulSoup
- Optional: basic math concepts (linear algebra, probability)
Frequently Asked Questions
1. Do I need Python experience for this course?
Yes. Basic Python knowledge is required.
2. Does this course teach deep learning?
No. It focuses on classical NLP techniques without complex math.
3. Are the projects real and practical?
Yes. You’ll build real systems like spam detectors, sentiment analyzers, and decryption tools.
4. Are the course materials free?
Yes. All the datasets and materials used in the course are free.
5. Will this help me understand modern AI tools?
Yes. It explains the core ideas that evolved into GPT-based technologies.
Why This Course Is Worth It
This course is highly practical and shows exactly how NLP is applied in real projects. You focus on building working systems, not just theory.
It’s ideal for learners who want to strengthen Python + NLP skills with hands-on coding and understand the fundamentals behind modern AI tools.
If you want to start using NLP for real-world tasks and build useful text-processing systems, this course offers an effective and accessible learning path
