GIS Course

Best Ever GIS Tutorials Link List, You no Need to spent much money to learn GIS. 

These courses will start instantly as you enrol and permanent access. Learn as per your time. No time-bound. We know the human nature of learning.  Some part of all GIS course is free. 

(1) Land use land cover classification with Machine Learning and all GIS Soft, No Coding :

Basic GIS tools also covered. Supervised, Unsupervised and Combined methods. You will receive more accuracy in the combined method for even bad quality terrain. This course cover landuse with Machine Learning Method also covered, such as Support Vector Machinic and Random Forest. Accuracy Assessment, Correction of the classified image after classification, pixel-level editing to produce landuse image with 95% accuracy. 

Link:https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=BEST5ONLY   

(2) Arc SWAT Tutorial watershed Flow simulation: 

This course covers ungauged catchment water flow simulation in Cubic Meter Per Second [m³/s] , groundwater recharge in watershed,  Sediment at outlet, Water yield, water quality, Curve number, Soils, Hydrological cycle parameters of watershed and many more advance output as you think. You no NEED to go anywhere to collect rainfall data, or soil data. Everything is explained, You will be able to complete project just from your room. You will know how to use excel weather data in GIS.

Link:https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=5DAYS3   

(3) Prediction of Future Landuse using CA Markov

In this course you will learn how to generate future landuse maps with GIS. How to use present data and simulate urban growth to future. How to validate predicted results. How to Modify image Matrix to get desire results. This method use, MLP and Machine learning based method. No single line code required. Only requirement is you must have well classified two satellite image with accuracy more than 80%, Rest of things covered in this course. It’s so much easy then you think you just need Terrset and ArcGIS. 

Link:https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=5DAYSONLY2  

Results Video

(4) Groundwater Potential Zones: In this course you will learn how to use landuse, DEM and Weather data. By generating stream density. Mosaic of DEM. How to run overlay analysis on multiple data set and many basic tasks of GIS like download of weather data, convert to GIS. You will also learn how to calculate water level fluctuation and generate map. You can use same tutorial for Drought, site suitability or any other theme also, even this method applicable to Flood risk zones. 

Link:https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=FIVEDAYS

(5) Basic of GIS and Remote Sensing: This course is scientifically designed you no need to put a load on your brain to understand a typical task, Just by watching the video, you will understand an advance concept. Many of you demanded to make a course on Basic of GIS data. As we face problems in handling shapefiles and data handling, Mosaic of the satellite image, NDVI, Handling advance data, cutting study area. Increasing image resolution and even making research-ready layouts. So here is the course. Mosaic of a satellite image with different colours and date, advance data management, the region of study cutting. Increase the resolution of images. Create layouts maps like research papers. Excel in GIS, survey data handling, GPS, Advance editing, Georeferencing, all GIS topics. ArcGIS, Erdas and are covered and some of the QGIS tasks. GIS Hydrology is also covered. NetCDF, Rainfall data handling, Data interpolation, Erdas ArcGIS QGIS.

Link to course:https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=5DAYSONLY1

(6) SWAT CUP Calibration Validation and write values to ArcSWAT:

The simulated streamflow needs to calibrate to match the observed flow. That can be possible by getting fitted catchment parameters. Two approaches are available for calibration and validation. One is to use the whole observed at as calibration and second is to split data for validation. Both use almost the same methodology. The objective is to obtain fitted parameters. SWAT CUP does the calibration validation of the whole series. So both scientific concepts are explained theoretically and practically. But the whole data series concept is used by most of the researchers so its explained first, then the data split validation concept is explained. So, this is to you which concept you want to use. Writing parameters to the SWAT model is also covered and the calibrated model was run in the course.  The mathematics behind the task is a little complex so I suggest downloading a few research papers similar to your study to explain that equations. Such as R Square, NSE, PBIAS, RSR. These all statistics calculated in SWAT Cup. 
This is the complete Scientific Course.

Link:https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=5DAYSONLY

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