I WANNA LEARN SPATIAL DATA ANALYSIS, BUT…
I found most spatial data books & manuals vague
There are no courses that actually teach me how it’s actually done
Available resources are expensive & I can’t afford them
I want to get a job in the field of GIS and geospatial analysis
I work in the field of ecology or quantitative social sciences or hydrology or civil engineering or geography
If you found yourself in one of these situations, then..
I’VE GOT GREAT NEWS FOR YOU!
Over the past few months, I have published multiple courses on Udemy around this topic which will be tremendously helpful to you & most important of all AFFORDABLE!
Today, I’ve created yet another powerful resource for you!
In this course, over 50+ hands-on and practical lecture, I will help you master the most common and important geo-processing tasks that can be performed with ArcGIS Desktop, one of THE MOST important GIS software tools available.
I will also show you the kind of questions answered through Spatial Analysis & data used.
THE STEPS I’LL WALK YOU THROUGH:
First of all, we’ll start some basic GIS tasks like “Zooming”.
Then, we’ll move into more complex processing tasks like “Geo-Statistics”.
We’ll also deal with some theoretical concepts related to Spatial Data Analysis, and then we’ll focus on implementing some of the most common GIS techniques (all the way showing you how to execute these tasks in ArcGIS Desktop).
The stuff you’ll learn from this course will be extremely useful in terms of you being able to implement it on future Spatial Data projects you’ll be working on (in a variety of disciplines from ecology to engineering).
LEARN FROM AN ACTUAL EXPERT IN THIS AREA:
My name is MINERVA SINGH.
I am an Oxford University MPhil (Geography and Environment) graduate.
I recently finished my PhD at Cambridge University (Tropical Ecology and Conservation).
I have SEVERAL YEARS OF EXPERIENCE in analyzing REAL LIFE DATA from different sources in ArcGIS Desktop.
I’ve also published my work in many international peer reviewed journals.
HERE IS HOW MY COURSE IS UNIQUE..
My course is a HANDS ON TRAINING with REAL data.
It’s a step by step course covering both the THEORY & APPLICATION of Spatial Data Analysis.
I teach Practical Stuff that you can learn quickly and start implementing NOW.
This is one of the most comprehensive courses on this topic.
I advise you to take advantage of it & enroll in the course TODAY!
TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success. I answer all questions put to me and guide my students when they get stuck.
A brief quiz to test your understanding of basic spatial data concepts
Quiz to test your knowledge of the ArcGIS interface and functionality
A brief quiz to test your knowledge of raster geo-processing in arcgis
This quiz is going to test the concepts you have learnt in Section 4. Note: In order to answer these questions you may have to re-watch the lectures or re-visit the data
A brief quiz to test your understanding of slightly advanced GIS topics
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