Get yourself trained on Introduction to GIS: with this Online Training Introduction to GIS: Spatial Data Analysis with QGIS.
Online Training Introduction to GIS: Spatial Data Analysis with QGIS
Do you want to learn how to access, process and analyze geospatial data using open source tools?Do you want to master the fundamental concepts of a geographic information systems? Do you want to acquire new hands on geospatial skills that will prepare you for a GIS job in the geospatial industry? You are here because you want to learn geographic information systems with open source tools, right?I am happy to have you here!You may be new to GIS, or you may have a little GIS experience. This course is perfect for anyone who wants to learn GIS from scratch to access, process, analyze, visualize and share spatial data. What makes me qualified to teach you? I am Dr. Alemayehu Midekisa, PhD and I am lecturer and research scientist at the University of California. I have over 10 years of experience in the geospatial industry. I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy. In this Introduction to GIS: Spatial Data Analysis with QGIS course, I will help you get up and running a QGIS software. By the end of this course, you will not only master the theoretical concepts of s geographic information systems, but also most importantly equipped with a set of new GIS skills including accessing, processing, analyzing, visualizing and sharing spatial data. One of the common problems with learning GIS is the high cost of software. In this course, I entirely use open source free software. Additionally, I will walk you through a step by step video tutorials to handle a GIS data in QGIS platform. All sample data will be provided to you as an added bonus through out the course. Jump in right now to enroll because this course has a 30day 100%money back guarantee. To get started click the enroll button. I hope to see you in the course soon! Best, Alemayehu
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.