Coupon & course info
Course Name: Data Science:Data Mining & Natural Language Processing in R
Subtitle: Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples
Instructor: Taught by Bestselling Udemy Instructor & Data Scientist(Cambridge Uni)
Category: Teaching & Academics
Subcategory: Science
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: 1201 students enrolled
Ratings: 162 reviews
Rank: ranked #331 in Udemy Teaching & Academics Courses
Brief course description
This course is for you, if you’re willing to learn.
MASTER DATA SCIENCE, TEXT MINING AND NATURAL LANGUAGE PROCESSING IN R:
Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge.
(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
Languages: English
Skill level: N/A
Lectures: 108 lectures lessons
Duration: 13 hours of video
What you get: Perform the most important pre-processing tasks needed prior to machine learning in R
Target audience: Students wishing to learn practical data science and machine learning in R
Requirements: Keen interest in learning about data science and data mining
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