In this session, you can learn-------
Module 5: Parametric Tests
• 1. t-test (One Sample, Paired Sample & Independent Samples)
• 2. ANOVA
• 3. ANCOVA
• 4. MANOVA (One Way and Two-way)
• 5. MANCOVA (One Way and Two-way) and Repeated Measure
Module 6: Non-parametric tests
• 1. Mann Whitney U test
• 2. Wilcoxon sign rank test
• 3. One sample run test
• 4. Kruskal-Wallis Test
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Advances in Geographical Research
Course 1: Flood Hazards, Vulnerability and Risk Assessment using Analytical Hierarchy Process in ArcGIS
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Course 2: Groundwater potentiality and stress zonation using TOPSIS, VIKOR and EDAS models in ArcGIS
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Course 3: An Integrated MCDM approach for Drought Vulnerability Assessment in ArcGIS
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Course 4: An Ensemble of Evidence Belief Function (EBF) with FR for GIS-based landslide prediction in ArcGIS
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Course 5: Hydro-morphometric characteristics of the drainage basin in ArcGIS
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Course 6: Preparation of rainfall indices using ArcGIS
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Course 7: LULC Mapping using Conventional and machine learning approaches and its prediction by CA Markov
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Course 8: Mastering ArcGIS: From Beginner to Expert
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Course 9: Google Earth Engine (GEE) for Remote Sensing & GIS Analysis: Beginners to Advanced
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Course 10: Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS
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Course 11: Practical Training in Univariate and Bivariate Analysis with SPSS
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Advances in Geographical Research
Learn research methodology online with courses of Advanced Geospatial technologies, statistical methods, and Machine Learning algorithms.
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UDEMY Course
Rainfall Indices for MCDM models in ArcGIS: how and Why?
Preparation of 10 important rainfall indices for MCDM models and time series analysis using Excel, ArcGIS and QGIS
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Playlist
1. Basics Remote sensing
   • Basics Remotesensing  
2. MCDM and ML
   • MCDM and ML  
3. Arc GIS
   • Arc GIS  
4. Free online data download
   • Free online data download  
5. Advanced Excel
   • Advanced Excel  

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