Coupon & course info
Course Name: Introduction to Natural Language Processing (NLP)
Subtitle: Learn how to analyze text data.
Instructor: Taught by Data Scientist
Subcategory: Programming Languages
Provided by: Udemy
Price: $99.99 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of March 15, 2019…
Students: 3521 students enrolled
Ratings: 781 reviews
Rank: ranked #486 in Udemy Development Courses
Brief course description
This course introduces Natural Language Processing through the use of python and the Natural Language Tool Kit. Through a practical approach, you’ll get hands on experience working with and analyzing text.
As a student of this course, you’ll get updates for free, which include lecture revisions, new code examples, and new data projects.
By the end of this course you will:
(Read more about this course on the official course page.)
Brian Sacash bio
Brian has a BS in physics and MS in Quantitative Analysis from the University of Cincinnati with over 8 years experience in data analysis. Over the course of his career he has developed a skill set in natural language processing analysis and big data. He has helped solved data problems from the Department of Defense to global financial institutions. He previously was a consultant where he helped organizations understand their data through advanced analytics methods. Brian currently works on developing methods and software for large data systems.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: N/A
Lectures: 41 lectures lessons
Duration: 3 hours of video
What you get: Work with text data using the Natural Language Tool Kit.
Target audience: This course is for anyone who is not familiar with Natural Language Processing and is looking for a way to start.
Requirements: A computer running Windows, OS X, or Linux.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons