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Data Science:Data Mining & Natural Language Processing in R - Udemy Coupon

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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