95% off Core Spatial Data Analysis: Introductory GIS with R and QGIS (Coupon)

Core Spatial Data Analysis: Introductory GIS with R and QGIS - Udemy Coupon

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Coupon & course info

Course Name: Core Spatial Data Analysis: Introductory GIS with R and QGIS

Subtitle: Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project – Get A Job In Spatial Data!

Instructor: Taught by Minerva Singh, Ecologist and Data Scientist From Cambridge University

Category: Academics

Subcategory: Skills

Provided by: Udemy

Price: $200 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of April 29, 2017…

Students: 3487 students enrolled

Ratings: 186 reviews

Rank: ranked #4g in Udemy Academics Courses

Brief course description

MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT!

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?

Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?

(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 gneral programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveller

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 31 lessons

Duration: 2 hours of video

What you get: You will have a greater clarity of basic spatial data concepts and data types

Target audience: Academics

Requirements: An interest in working with spatial data.

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