95% off Species Distribution Models with GIS & Machine Learning in R (Coupon)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Species Distribution Models with GIS & Machine Learning in R - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

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.)

Recommended courses

If you like this course, you might also be interested in:


1. Industrial Robotics

Mathematical models and practical applications

Taught by Engineer


2. Train the Trainer Bootcamp Part 1: Mastery Certification

The Complete Classroom Training Mastery Program That Doubles Learning Retention In Half The Time.

Taught by Author, Keynote & TEDx Speaker, CEO Rule the Room


3. Write Arabic Now Part 1

Learn how to write and how to read in Arabic

Taught by Teacher


4. Launch Your First UDEMY Course In 7 Days or Less -Unofficial

Learn the Secrets to Online Course Creation in Less than 7 days and get First 1000 Students Quickly!

Taught by Microsoft Certified Trainer (MCT) For Microsoft Dynamics 365


5. The Complete Engineering Mechanics Course

Master the fundamentals of mechanics, statics and applied physics and then solve real-world mechanics problems.

Taught by Systems Engineer

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