Advances in Geographical Research

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Statistical . MCDM. ML models

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Advances in
Geographical Research

Learn research methodology online with courses of Advanced Geospatial technologies, statistical methods, and Machine Learning algorithms. It is not just courses, we provide you with courses, tools, and data to start learning and advance your skills.  We teach you the right skills to be prepared for tomorrow.

Advances in Geographical Research

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MSME Registration No. UDYAM-WB-05-0002608

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Online Workshop

 on

Advanced Multivariate Analysis with SPSS: Mastering Complex Data Interpretation for Informed Decision-Making

Workshop will start 22nd April, 2024

INR. 2499.00        USD. 30.00

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Advanced Multivariate Analysis with SPSS: Mastering Complex Data Interpretation for Informed Decision-Making

Join our Intensive Online Workshop: "Advanced Multivariate Analysis with SPSS: Mastering Complex Data Interpretation for Informed Decision-Making"Delve deep into the world of multivariate statistical techniques with our one-week online workshop, "Advanced Multivariate Analysis with SPSS." This course is meticulously designed for professionals and researchers who are ready to elevate their data analysis capabilities using SPSS, one of the most widely used statistical software tools in the industry.Structured over six days, this workshop covers advanced statistical methods, emphasizing practical applications and the interpretation of data for strategic decision-making. By the end of this immersive training, you will be well-versed in sophisticated analytical techniques, ready to tackle the complexities of real-world data.Day 1: Logistic Regression Analysis: Dive into binary, nominal, and ordinal logistic regression, developing skills to predict categorical outcomes and understand the relationships between variables.Day 2: Enhancing Predictive Models: Further explore ordinal logistic regression and delve into cluster analysis, enhancing your ability to classify data and make predictions.Day 3: Factor Analysis: Unlock the potential of factor analysis to identify underlying variables and structure in complex datasets.Day 4: Discriminant and Correspondence Analysis: Learn how to differentiate groups and explore associations between categorical variables with these powerful analytical tools.Day 5: Canonical Correlation and Neural Networks: Explore the relationships between multivariate sets of variables using canonical correlation and gain insights into the basics of neural networks in statistical modeling.Day 6: Structural Equation Modeling: Cap off the week with a comprehensive session on SEM, mastering this versatile statistical technique for modeling complex relationships.

Keywords: SPSS; Data Analysis ;  Logistic Regression; SEM; Factor Analysis; Discriminant and Correspondence Analysis; Neural Network

Online Workshop

 on

Statistical Data Analysis and Visualization With R Programming: From Basics to Advanced Analytics

Workshop will start 22nd March, 2024

INR. 4999.00        USD. 65.00

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Statistical Data Analysis and Visualization With R Programming

From Basics to Advanced Analytics

Dive into the world of data science with our comprehensive online course, "Master R Programming for Data Analysis and Visualization: A Comprehensive Guide from Basics to Advanced Analytics." This course is designed for beginners and experienced professionals alike, offering a step-by-step journey through the essentials of R programming to the intricate techniques of advanced data analysis and visualization. Whether you're looking to enhance your skill set, pivot your career towards data science, or simply gain a competitive edge in the job market, this course provides the tools and knowledge you need.

Learn how to manipulate data, perform statistical analysis, and create stunning visualizations that communicate insights clearly and effectively. With a focus on practical applications, you'll work on real-world datasets, solving actual problems faced by industries today. Our expert instructors, with years of experience in data science, ensure that you not only understand theoretical concepts but also know how to apply them in your daily work.

By the end of this course, you'll be proficient in R programming, equipped to handle data analysis projects with confidence, and ready to create impactful visualizations. Whether you're a student, a professional in finance, healthcare, technology, or any field that relies on data, this course will empower you to make data-driven decisions and elevate your career to new heights. Enroll now and start your journey to becoming a data analysis expert with R programming.

Keywords: R Programming Course; Data Analysis with R; R Data Visualization; R Programming for Beginners

Online Course

 on

Innovative Trend Analysis (ITA) for Environmental Monitoring: Using Excel, R, and ArcGIS


INR. 1999.00        USD. 30.00

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On 

Innovative Trend Analysis (ITA) for Environmental Monitoring: 

Using Excel, R, and ArcGIS

The "Innovative Trend Analysis for Environmental Monitoring" course is designed to equip participants with advanced skills in analyzing environmental trends using a combination of  Excel, R, and ArcGIS. Participants will receive a certificate of completion and will be equipped with the skills needed to conduct sophisticated trend analysis for environmental monitoring using Excel, R, and ArcGIS.Enroll now and take a significant step towards becoming an adept environmental analyst capable of deriving valuable insights from complex datasets. Join us in this journey towards a more sustainable and informed approach to environmental monitoring! Sign up now and get access to the course for lifetime!

Online Course

 on

Practical Training in Univariate and Bivariate Analysis with SPSS

INR. 1999.00        USD. 30.00

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Registration is Open for Online Course

On 

Practical Training in Univariate and Bivariate Analysis with SPSS

Join our Online Workshop titled "Practical Training in Univariate and Bivariate Analysis with SPSS," offers an extensive curriculum aimed at providing participants with a comprehensive understanding of fundamental statistical concepts and their practical application using the SPSS software. The structured curriculum, organized over six days, covers a wide range of statistical techniques essential for data analysis. Each day focuses on specific topics: Day 1: Foundation: Introduction to statistics and familiarization with SPSS for data management. Day 2: Exploratory Data Analysis: Graphical representation, descriptive statistics, and distribution analyses. Day 3: Hypothesis Testing and Bivariate Analysis: Understanding various statistical tests and measures. Day 4: Correlation and Regression: Exploring correlation, simple and multiple regression, and their diagnostics. Day 5: Parametric Tests: T-tests, ANOVA, and ANCOVA for comparing means and variance. Day 6: Advanced Analysis: MANOVA, MANCOVA, and non-parametric tests for complex data analysis.

This workshop is designed to equip participants with a solid foundation in statistical analysis and the practical skills required to navigate and interpret data effectively using SPSS software. With a balanced mix of theoretical understanding and hands-on application, participants can expect to gain a versatile skill set in statistical analysis by the workshop's end.

Online Course

 on

Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS


INR. 10000.00        USD. 150.00

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Registration is Open for Online Course

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Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS

Join our Online Workshop: Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS.Unlock the world of machine learning and geospatial analysis as we guide you through a comprehensive journey in this workshop. Covering a wide spectrum of topics, this workshop is designed to provide you with practical knowledge and skills that can be applied to real-world challenges in landslide prediction mapping.In Module 1, Start with machine learning foundations, history, terminology, and core components. Explore techniques, practical applications, and distinctions from traditional programming. Understand common algorithms, the machine learning workflow, and future trends.Module 2: Focus on data preparation and exploration, including data collection, preprocessing, exploratory data analysis for geospatial data, and spatial data handling.Module 3: Enhance prediction accuracy through feature selection and engineering strategies.Module 4: Build Random Forest and Support Vector Machine models in model selection and training.Module 5: Learn model evaluation, prediction, assessing performance, and spatial visualization.Module 6: Discover model refinement techniques, including hyperparameter tuning and feature engineering.Module 7: Bring it all together by training the final model, generating susceptibility maps, and effective visualization/reporting.This workshop is an opportunity to acquire a comprehensive skill set that bridges the gap between theory and practical application, empowering you to excel in the field of landslide prediction mapping using RStudio and ArcGIS. Join us for this engaging and informative journey into the world of machine learning and geospatial analysis.

Online Course

 on

Google Earth Engine (GEE) for Remote Sensing & GIS Analysis

Beginners to Advanced

INR. 6500.00        USD. 100.00

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Registration is Open for Online Course

On 

Google Earth Engine (GEE) for Remote Sensing & GIS Analysis: Beginners to Advanced

The Google Earth Engine (GEE) for Remote Sensing & GIS Analysis: Beginners to Advanced workshop is designed to provide participants with an in-depth understanding of GEE and how to use it for remote sensing and GIS analysis. The workshop is suitable for individuals who are new to programming languages and Earth Engine functions, as well as those who have some experience but wish to enhance their skills and knowledge.

After finishing this course, you will be able to do any remote sensing analysis utilizing the Google Earth Engine Platform swiftly and efficiently. We will discuss basic GEE, calculating any indices, LULC mapping, air quality monitoring, time series analysis, supervised classification, machine learning methods, and other topics which are important for remote sensing analysis.

Online Workshop

 on

Mastering ArcGIS

From Beginner to Expert

INR. 1999.00        USD. 30.00

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Registration is Open for Online Course

On 

Mastering ArcGIS: From Beginner to Expert

This online workshop and live practice offer a comprehensive learning experience that takes learners from the basics to a mastery level of ArcGIS. With hands-on exercises, real-world examples, and expert instruction, this course is designed to equip learners with the skills and knowledge needed to become proficient in ArcGIS. By enrolling in this course, learners will gain a competitive edge in the job market and have the opportunity to work with one of the most widely used GIS software packages in the industry.

Keywords: 1. Overview ArcGIS 2. Datum and Projection 3. Data Types, Heads-up Digitization 4. Symbology & Labelling 5. Spatial Data Input and Editing6. Introduction to Database Management 7. Raster data 8. Vector data 9. Data Conversion 10. Sampling 11. Proximity 12. Geostatistical Analysis 13. Advanced Map Layout

Certificate Course

 on

Landuse and Landcover (LULC) Mapping using Conventional and Machine Learning approaches and its Prediction by Cellular Automata Markov Chain model

INR. 6500.00        USD. 90.00

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Registration is Open for Certificate Course

On 

Landuse and Landcover (LULC) Mapping using Conventional and Machine Learning approaches and its Prediction by Cellular Automata Markov Chain model

In this online workshop and live practice, you can learn the complete process (A-Z) from scratch to production. Step by step guide of downloading satellite images, its processing, classification, change detection and future prediction using CA-Markov chain of Land Use Land Cover (LULC) in Erdas Imagine, Arc GIS and Terrset Environment. How to select parameters and why, download raster and vector data and process using different software. You will also learn the accuracy assessment of the LULC map using Kappa Statistics in Erdas Imagine software.

Keywords: LULC; Supervised; Unsupervised; Combined Classification; RF; SVM; LULC Change detection; CA Markov Chain

Certificate Course

 on

HYDRO-MORPHOMETRIC CHARACTERISTICS OF THE DRAINAGE BASIN IN ARCGIS

INR. 6500.00        USD. 90.00

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Registration is Open for Certificate Course

On 

HYDRO-MORPHOMETRIC CHARACTERISTICS OF THE DRAINAGE BASIN IN ARCGIS

In this online certificate course, you can learn the complete process (A-Z) of morphometric analysis from scratch to production. How to download freely available data, and process data in ArcGIS environment. Moreover, you will also learn how to prepare final maps and tables for publication. The analysis of morphometric parameters gives a precise scenario of the geomorphic characteristics and the hydrological behaviour of a drainage basin, especially in the areas where hydrological data are unavailable due to the absence of a gauging station or inaccessibility to harsh topographic conditions. So, this live workshop is aimed to investigate the hydro-geomorphic characteristics of a mountainous basin. The extraction and analysis of the morphometric variables will be done using remote sensing and GIS. The morphometry of a drainage basin is a quantitative approach for evaluating the different aspects of the drainage system, viz. number, and length of the stream, drainage density, bifurcation ratio, slope, shape, and relief of the basin. 

Keywords: Hydro-geomorphology, DEM, Morphometric analysis, Remote sensing, GIS, Visualization, Mapping and ArcGIS

Certificate Course

 on

An Ensemble of Evidence Belief Function (EBF) with Frequency Ratio (FR) for GIS-based landslide prediction in Excel and ArcGIS

INR. 10000.00        USD. 150.00

Enroll now

Registration is Open for Certificate Course

On 

An Ensemble of Evidence Belief Function (EBF) with Frequency Ratio (FR) for GIS-based landslide prediction in Excel and ArcGIS

In this online workshop and live practice, you can learn the complete process (A-Z) from scratch to production.  How to select parameters and why, download raster and vector data, processing data, images in ArcGIS environment, justification of variables, step by step guide of Dempster-Shafer theory of EBF and FR models, produced prediction map applying combined EBF and FR methods in Landslide prediction zonation using ArcGIS. Moreover, you will also learn validation of the susceptibility map using advanced techniques such as success rate curve and prediction rate curve.

After completing this course, you will be efficiently able to process, predict, and validate any data related to hazard, vulnerability, risk, and suitability assessment using the EBF and FR models.

Certificate Course

 on

An Integrated MCDM approach for Drought Vulnerability Assessment in R, Excel and ArcGIS

INR. 10000.00
USD. 150.00

Enroll now

Registration is Open for Certificate Course

On 

An Integrated MCDM approach for Drought Vulnerability Assessment in R, Excel and ArcGIS

In this online workshop and live practice, you can learn the complete process (A-Z) from scratch to production.  How to select parameters and why, download raster and vector data, processing data, images in ArcGIS environment, justification of variables, step by step guide of SPI, CRITIC, WASPAS, and SAW models in excel, produced prediction map applying CRITIC, WASPAS, and SAW methods in Drought Vulnerability zonation using ArcGIS. Moreover, you will also learn validation of the susceptibility map using advanced techniques such as MAE, MSE, RMSE, ROC-AUC.

After completing this course, you will be efficiently able to process, predict, and validate any data related to hazard, vulnerability, risk, and suitability assessment using the CRITIC, WASPAS, and SAW models.

Certificate Course on

Groundwater potentiality and stress zonation using TOPSIS, VIKOR and EDAS models in Excel and ArcGIS

INR. 10000.00
USD. 150

Enroll now

Registration is Open for Certificate Course 

On 

Groundwater potentiality and stress zonation using TOPSIS, VIKOR, and EDAS models in Exel and ArcGIS

In this online certificate course, you can learn the complete process (A-Z) from scratch to production. How to select parameters and why, download raster and vector data, processing data, images in ArcGIS environment, justification of variables, step by step guide of TOPSIS, VIKOR and EDAS in excel, produced prediction map applying these methods in groundwater potentiality and stress zonation using ArcGIS. Moreover, you will also learn validation of the potentiality map in ArcGIS software.



Registration is Open for Certificate Course on 

Flood Hazards, Vulnerability and Risk Assessment using Analytical Hierarchy Process in Excel and ArcGIS

In this course, you can learn the complete process (A-Z) from scratch to production. How to select parameters and why, download raster and vector data, processing data, images in ArcGIS environment, justification of variables, step by step guide of Analytic Hierarchy Process (AHP) in excel, produced prediction map applying AHP method in hazard, vulnerability, and risk using GIS. Moreover, you can also learn sensitivity analysis in ArcGIS and validation of the susceptibility map in SPSS software.

Analytic Hierarchy Process (AHP) is the most powerful multi-criteria decision-making and Problem-Solving method first introduced by Saaty in 1980. In short, it is used for ranking the attributes to select the optimal attribute based on the hierarchical structure of goal at the top level, criteria at the second level, and alternative at third level

After completing this course, you will be efficiently able to process, predict, and validate any data related to hazard, vulnerability, risk, and suitability assessment using the Analytic Hierarchy Process (AHP).

Certificate Course

Flood Hazards, Vulnerability and Risk Assessment using Analytical Hierarchy Process in Excel and ArcGIS

INR. 10000.00
USD. 150

Enroll now

About AIGR

Advances in Geographical Research (AIGR) provides certified professional training, development opportunities and assured innovative research ideas for the next generation of researchers, such as programs and courses in research methodology, Remote sensing, Geo-Informatics and GIS courses, as well as mentoring.

Our motto is making the complex simple. Led by some of the world’s leading researchers, who provide key insights from their experience, our training programs support career development and encourage our researchers to excel in their field.

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Course option

Full-time

Take daily classes. Join our group classes as per the schedule.

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Online

On-demand self-paced learning as per your schedule when you want

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Blended

Attend online session on weekdays and visit our centre on weekend

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Why Learn With us?

Over two decades of experience and expertise in Geospatial science and research helping students develop their tech skills for higher performance, better careers, and growth in companies.

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Why Learning With us?

World Class Teachers

Get certified with our premium courses and get started on your journey to a brand new career altogether

Certifications

Get certified with our premium courses and get started on your journey to a brand new career altogether

Students Community

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Live session

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Courses

Cooming Soon

Remote Sensing for Beginners

Become proficient in satellite remote sensing, spatial analysis principles, methods, applications, sensors, and GIS!

₹ 1000.00

$ 20.00

Cooming Soon

Excel Visualization

Master 50+ Excel charts, build advanced Excel visuals & learn data analysis with a top Excel instructor

₹ 500.00

$ 10.00

Cooming Soon

Prediction Mapping Using ML Algorithms

eXtreme Gradient Boosting, K Nearest Neighbour, Naïve Bayes, Random Forest for Prediction Geo-Hazards and Risk

₹ 10000.00

$ 200.00

World class Teachers

Dr. Baidyanath Pal

Associate Scientist C

Indian Statistical Institute (ISI)

Expert in Statistics

Software Skills: SPSS, AMOS, R, R-studio, STRATA

Mr. Sujit Kumar Roy

Research Assistant, Bangladesh University of Engineering and Technology (BUET)

Expert in Machine Learning and Deep Learning

Software Skills: ArcGIS, QGIS, R/R-Studio, Python, Google Earth Engine

Dr. Tapash Mandal

Research Trainer at AIGR

Expert in LULC, spatial modeling

Software Skills: ArcGIS, QGIS, Geometica, Erdas Imagine, Terrset, SWAT

Dr. A.T.M. Sakiur Rahaman

RIKEN,  Kobe, Japan

Expert in Machine learning and
process-based models

Software Skills: ArcGIS, QGIS, R, R-studio, Python, WAKA, Google Earth Engine, HecRAS, GeoHecRAS, SWAT model

Dr. Pooja Gupta

Rani Durgawati Viswavidyalaya, Jabalpur, India

Expert in Remote sensing and GIS application on Geoinformatics for
disaster management

Software Skills: ArcGIS, QGIS, WebGIS, Mapinfo, Global Mapper, Google Earth Engine, Geometica

Dr. Sankar Biswas

Ph.D. in Geography

Expert in visualization, 
Statistics and Modelling

Software Skills: Excel, Power BI, SPSS, STRATA, GraphPad Prism, JMP, SAS, MATLAB, R-studio, ArcGIS

 What students say about us

Robert Peter Zakayo Galla 

  • Designation: Hydrologist and Geo-Spatial Analyst 
  • Country: South Sudan 
  • Subject: Hydrology
  • Course: Hazards, Vulnerability and Risk Assessment using Analytical Hierarchy Process in ArcGIS 
  • Feedback: “The workshop content is very good and the instructor is knowledgeable enough to teach the content of the course. The course benefits a lot of scientist and researcher, give them the guide to conduct scientific research related to flood susceptibility and risk. As such the course is very satisfactory.”

Kemela Barakumo

  • Designation: Student
  • Country: Nigeria 
  • Subject: Geography & Environmental Management 
  • Course: Hazards, Vulnerability and Risk Assessment using Analytical Hierarchy Process in ArcGIS
  • Feedback: “The workshop has been informative and has added much to my library as a beginner in geo-information. I must commend the efforts of the instructor, Dr. Das, he has been phenomenal (a good tutor) & I look forward to having more interactions with Advances in Geographical Research especially with the likes of Dr. Das. Thank you, Advances in Geographical Research, thank you Dr. Das & Stay blessed.”

Chitikela N Vara Laxmi

  • Designation: Assistant Professor
  • Country: India
  • Subject: Remote Sensing
  • Course: Hazards, Vulnerability and Risk Assessment    using Analytical Hierarchy Process in ArcGIS
  • Feedback: “It was a fabulous workshop with great sessions. I learned a lot of new things from this workshop, the content was extremely informative and incredibly useful.  I would like to thank you Dr. Das sir for wonderful live practice classes and 1:1 problem solving classes. He explained every step of process in detail with lot of patience. Totally loved your sessions sir.”

Enike Poni Elliaba Mada

  • Designation: Hydrologist and Geo-Spatial Analyst 
  • Country: South Sudan 
  • Subject: Flood susceptibility, vulnerability Analysis
  • Course: Multicriteria Decision Making using Analytical Hierarchy Process in ArcGIS: Geo-hazards, vulnerability and Risk Assessment
  • Feedback: “The contents of the workshop are well constructed, articulated and interesting. The instructor is good a facilitator, he demonstrates well and he is knowledgeable of the topic. I have benefited and satisfied a lot of knowledge from the workshop. I will be following your website get more knowledge on GIS”

Shyam Lochan Bora

  • Designation: Assistant Professor
  • Country: India
  • Subject: Physics
  • Course: Hazards, Vulnerability and Risk Assessment    using Analytical Hierarchy Process in ArcGIS
  • Feedback: “Indeed, a great workshop. I am a beginner in this field and now I am confident that I can do something in this very short duration. I am very grateful to the organising team and the mentor. I will definitely join each and every upcoming course. And the last but not the least Till now I have never attended any workshop where the mentor asks about the problems encountered by participants in regular basis and ready to give one to one discussion. In one word, it is a fabulous workshop”

Sunil Kumar Patel

  • Designation: Research Scholar
  • Country: India
  • Subject: Geology
  • Course: Hazards, Vulnerability and Risk Assessment    using Analytical Hierarchy Process in ArcGIS
  • Feedback: “The content of course is very nice which covers many aspects provides us valuable knowledge in our research work. As before the workshop I studied many papers related to AHP but not understood. But after this workshop, AHP method is understood well as you instruct this difficult topic in a very simple and scientific way. This workshop covers a various important parameters which is necessary for any research work. As in my study area, the lower basin is highly susceptible and vulnerable zone related to flood. This workshop made me able to work on flood by this MCDM and AHP process. I am highly satisfied by this workshop”. Thank You 

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