MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 724 MB Duration: 57m

If you've ever wanted to learn how to analyze text data with Python, this course is for you!

Leah is a Data Scientist at a large financial institution and discovered there is a serious gap between the skills and techniques students learn in school versus what they actually need on the job in the real world. She'll use her expertise to teach you the foundations of natural language processing (NLP).

This course is intended for aspiring data scientists and programmers looking to expand their knowledge of NLP.

In this course you'll learn:

NLP terminology used in the industry
Text preprocessing techniques
Named entity recognition
Term frequency
Dependency parsing
Part-of-Speech tagging
You'll gain hands-on experience with each concept by analyzing 500 Amazon Home and Kitchen product reviews.

Throughout the course, you'll walk through code examples in Python using a Jupyter Notebook. You'll also utilize popular libraries such as pandas, spaCy, and scikit-learn. No prior knowledge of NLP is needed for this course; however, a working knowledge of basic programming concepts (functions, for loops, etc.) and intermediate Python skills are recommended.

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