Coupon & course info
Course Name: Text Mining and Natural Language Processing in R
Subtitle: Hands-on text mining and natural language processing (NLP) training for data science applications in R
Instructor: Taught by Bestselling Udemy Instructor & Data Scientist(Cambridge Uni)
Subcategory: Data & Analytics
Provided by: Udemy
Price: $199.99 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of March 15, 2019…
Students: 2323 students enrolled
Ratings: 273 reviews
Rank: ranked #724 in Udemy Business Courses
Brief course description
Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media?
Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends?
Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news. Social media both captures and sets trends. Mining unstructured text data and social media is the latest frontier of machine learning and data science.
(Read more about this course on the official course page.)
Minerva Singh bio
Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler
(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: 79 lectures lessons
Duration: 8.5 hours of video
What you get: Students will be able to read in data from different sources- including databases
Target audience: People who wish to learn practical text mining and natural language processing
Requirements: Should have prior experience of R and RStudio
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