Coupon & course info
Course Name: Species Distribution Models with GIS & Machine Learning in R
Subtitle: Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in R
Instructor: Taught by Bestselling Udemy Instructor & Data Scientist(Cambridge Uni)
Category: Teaching & Academics
Subcategory: Science
Provided by: Udemy
Price: $149.99 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of March 15, 2019…
Students: 823 students enrolled
Ratings: 120 reviews
Rank: ranked #437 in Udemy Teaching & Academics Courses
Brief course description
Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R?
Then this course is for you! I will take you on an adventure into the amazing of field Machine Learning and GIS for ecological modelling. You will learn how to implement species distribution modelling/map suitable habitats for species in R.
My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.
(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: 39 lectures lessons
Duration: 3.5 hours of video
What you get: Understand the most important concepts related to species distribution modelling
Target audience: Ecologists interested in improving their quantitative skills
Requirements: Should have an interest in learning about species distribution & habitat suitability modelling
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