[Intermediate] Spatial Data Analysis with R, QGIS & More (Udemy.com)
Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH
Created by: Minerva Singh
Produced in 2021
What you will learn
- Carry out the most common spatial data analysis and GIS tasks using free software tools
- Perform advanced spatial data analysis and mapping using both R and QGIS
- Develop robust map-making skills including harnessing the power of Google Earth.
- Get started with using the powerful, freeware tool GRASS GIS for some spatial data analysis tasks
- Stop spending money on paid-for GIS software tools
- Have a solid foundation to learn advanced GIS tasks
- Gain experience in working with a variety of different spatial data and gain hands-on expertise
Quality Score
Overall Score : 94 / 100
Course Description
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. Youll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.
e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.
e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I dont have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn moreStudents interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGISAcademicsConservation managersGIS Technicians
Instructor Details
- 4.7 Rating
170 Reviews
Minerva Singh
Hello. I am a PhD graduate from Cambridge University where Ispecializedin 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 visualizationand web development. In addition to being a scientist and number cruncher, I am anavid traveler
More courses by Minerva Singh
Project Based Python Programming For Kids & Beginners (2018)
4.6 (382 Reviews)
Provider: Udemy
Time: 5h
$11.99
Regression Analysis for Statistics & Machine Learning in R (2021)
4.6 (295 Reviews)
- Provider: Udemy
- Time: 7.5h
$11.99
Core Spatial Data Analysis: Introductory GIS with R and QGIS (2021)
4.4 (288 Reviews)
- Provider: Udemy
- Time: 2.5h
$11.99
Data Science:Data Mining & Natural Language Processing in R (2021)
4.6 (196 Reviews)
- Provider: Udemy
- Time: 13h
$11.99
Species Distribution Models with GIS & Machine Learning in R (2021)
4.8 (159 Reviews)
- Provider: Udemy
- Time: 3.5h
$11.99
Complete Data Wrangling & Data Visualisation With Python (2021)
4.5 (136 Reviews)
- Provider: Udemy
- Time: 6h
$11.99
More data analysis courses
Microsoft Power BI - Up & Running With Power BI Desktop (2021)
4.8 (312 Reviews)
- Provider: Udemy
- Time: 10.5h
$11.99
Python Data Analysis & Visualization Bootcamp (2021)
4.8 (309 Reviews)
- Provider: Udemy
- Time: 8h
$11.99
![Complete Introduction to Microsoft Power BI [2021 Edition]](/programming/data-analysis/images/468172_d1c0_11.jpg?v=1789153474)
Complete Introduction to Microsoft Power BI [2021 Edition] (2021)
4.7 (312 Reviews)
- Provider: Udemy
- Time: 6.5h
$11.99
Beginner Statistics for Data Analytics - Learn the Easy Way! (2021)
4.7 (142 Reviews)
- Provider: Udemy
- Time: 3h
$11.99
Reviews
![[Intermediate] Spatial Data Analysis with R, QGIS & More](/programming/data-analysis/images/1030486_58a1_2.jpg?v=1789153427)
- Video Duration:
5h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2021 - Language:
English - Certificate:
Yes
30-Day Money-Back Guarantee
Udemy Coupon Price Tracker
