NLP with Python for Machine Learning Essential Training Online Class | LinkedIn Learning, formerly Lynda.com

Explore natural language processing (NLP) concepts, review advanced data cleaning and vectorization techniques, and learn how to build machine learning classifiers.

Description

🧠 Master Natural Language Processing with Python: A Smart Start for Your ML Journey

Natural Language Processing (NLP) is no longer a futuristic concept—it’s powering everything from chatbots and virtual assistants to real-time translation and sentiment analysis tools. As AI becomes more embedded in business, marketing, healthcare, and finance, the demand for professionals who can harness the power of language data is rising fast.

If you’re looking to break into this space or sharpen your NLP skills, LinkedIn Learning offers an excellent opportunity:
NLP with Python for Machine Learning Essential Training — a beginner-friendly, practical course that guides you through the core techniques and tools to start building real NLP solutions.


🚀 Why NLP Skills Are In Demand

NLP is the bridge between humans and machines—teaching computers how to understand, interpret, and even generate human language. This capability fuels:

✔️ Customer service chatbots
✔️ Voice-to-text systems
✔️ Search engines
✔️ Spam detection
✔️ Language translation
✔️ Social media sentiment tracking

According to the U.S. Bureau of Labor Statistics, roles in AI and data science are projected to grow by 35% over the next decade, making NLP expertise an invaluable skill for developers, analysts, and tech-savvy business leaders.


📚 What You’ll Learn in This Course

This LinkedIn Learning course, taught by data scientist Derek Jedamski, provides a hands-on introduction to building machine learning models that work with text data using Python.

Key topics include:

🔹 Preprocessing and cleaning textual data
🔹 Tokenization and stemming
🔹 Feature extraction with TF-IDF and bag-of-words
🔹 Text classification models
🔹 Sentiment analysis
🔹 Working with scikit-learn and NLTK
🔹 Building pipelines for NLP tasks

The course balances theory and practical coding exercises, so you’ll walk away not just knowing what to do, but also how to do it in real-world projects.


🧑‍💻 Who Should Take This Course?

This course is ideal for:

✔️ Python developers exploring machine learning
✔️ Data analysts looking to specialize in NLP
✔️ AI/ML enthusiasts building personal or business projects
✔️ Product managers who want a technical foundation in NLP

No advanced machine learning background is required—just a basic understanding of Python programming.


⏱️ Duration and Format

  • Length: Approximately 2 hours and 10 minutes
  • Format: Video-based, on-demand learning
  • Level: Beginner to Intermediate
  • Certificate: Upon completion, you receive a LinkedIn Learning Certificate to showcase on your profile

💡 What Makes This Course Special?

✔️ Practical Focus: Learn by doing, not just by watching
✔️ Clear Explanations: Concepts are broken down clearly for newcomers
✔️ Real-World Projects: Apply your skills in actual NLP scenarios
✔️ LinkedIn Integration: Your completion badge boosts your professional credibility instantly


🏁 Final Thoughts

If you’re ready to add one of the most in-demand AI skills to your toolkit, this course is an excellent place to start. In just a few hours, you’ll gain a strong foundation in NLP using Python—and you’ll be ready to explore more complex models, deep learning for NLP, and even build your own intelligent applications.

What’s included