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Overview

I am experienced Professional in Remote Sensing & GIS domain with educational background of PhD in Remote Sensing and GIS from NIT Calicut. I can teach Remote Sensing, GIS, spatial statistics, disaster management and urban planning applications. Also, I am experienced in software's like ArCGIS, Sketchup, Erdas Imagine, LPS, Manifold Systems, ENVI, DT Master, QGIS, Geoda, R programming etc. Also, I take classes on Statistical Modeling topics such as Regression Analysis.

Languages Spoken

Hindi

Malayalam

English

Tamil

Education

Kerala Board 2006

2nd PUC

CUSAT 2010

Bachelor of Technology (B.Tech.)

Anna University 2014

Master of Engineering - Master of Technology (M.E./M.Tech.)

IGNOU 2020

Master of Business Administration (M.B.A.)

NITC 2022

Doctor of Philosophy (Ph.D.)

Geotrans Technologies Pvt Ltd 2011

Post Graduate Engineer Training Program in Geoinformatics

Address

Moonnamoodu, Thiruvananthapuram, India - 695013

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Teaches

ArcGIS

Class Location

Online (video chat via skype, google hangout etc)

Willing to travel

Tutor's Home

Years of Experience in ArcGIS

9

Teaching Experience in detail in ArcGIS

Working on arcgis from 2010, worked with most of the versions and well versed

BTech Tuition

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in BTech Tuition

8

BTech Branch

BTech Civil Engineering, Other Engineering topics

Experience in School or College

Taught GIS and Remote Sensing in NIT Calicut, MES Kuttipuram, TKM Engineering college and Center for Environment and Development, Trivandrum

Type of class

Crash Course, Regular Classes

Class strength catered to

One on one/ Private Tutions, Group Classes

Taught in School or College

Yes

BTech Civil subjects

Remote Sensing And Gis

Teaching Experience in detail in BTech Tuition

Taught Remote Sensing and GIS in various colleges in Kerala.

GIS

Years of Experience in GIS

6

Teaching Experience in detail in GIS

GIS professional from 2010, takes classes on GIS in engineering colleges like NITC, TKM, CET etc

R Programming

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in R Programming

2

Teaching Experience in detail in R Programming

Working with R from a while, can teach basic R programming related to spatial analysis, Regression etc

Data Analysis Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Analysis Classes

7

Data analysis concepts taught

Regression Analysis

Teaching Experience in detail in Data Analysis Classes

Expert in various regression models such as OLS, Spatial Regression and GWR.

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach ArcGIS, BTech Tuition, Data Analysis, GIS and R Programming Classes.

2. Do you provide a demo class?

Yes, I provide a free demo class.

3. How many years of experience do you have?

I have been teaching for 9 years.

Answers by Binoy B V (4)

Answered on 18/11/2022 Learn IT Courses/R Programming

Its better to take a beginer course offline or online for R programming, once you build the base you will be able to do the advanced analysis simply by online tutorials.
Answers 1 Comments
Dislike Bookmark

Answered on 18/11/2022 Learn IT Courses/R Programming

It is not compulsary to learn python and R to become a data scientist. But these are the most popular programming softwares for data science. The advantage of popular open source softwares is that lot of help will be available freely.
Answers 1 Comments
Dislike Bookmark

Answered on 26/06/2022 Learn IT Courses/Data Analysis

Basic software skills are required, plus a strong reading on the theoretical part. Initially read the concepts of statistical analysis followed by modeling and training on softwares like SPSS and Minitab. After that move on to programming like R and Python.
Answers 3 Comments
Dislike Bookmark

Answered on 26/06/2022 Learn IT Courses/Data Analysis

I would like to suggest a book "An Introduction to Statistical Learning" Published by Springer. It provides practical information from the basic level related to data analysis starting from regression modeling. Also, this book has codes for all the modeling to be done in R studio.
Answers 3 Comments
Dislike Bookmark

Teaches

ArcGIS

Class Location

Online (video chat via skype, google hangout etc)

Willing to travel

Tutor's Home

Years of Experience in ArcGIS

9

Teaching Experience in detail in ArcGIS

Working on arcgis from 2010, worked with most of the versions and well versed

BTech Tuition

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in BTech Tuition

8

BTech Branch

BTech Civil Engineering, Other Engineering topics

Experience in School or College

Taught GIS and Remote Sensing in NIT Calicut, MES Kuttipuram, TKM Engineering college and Center for Environment and Development, Trivandrum

Type of class

Crash Course, Regular Classes

Class strength catered to

One on one/ Private Tutions, Group Classes

Taught in School or College

Yes

BTech Civil subjects

Remote Sensing And Gis

Teaching Experience in detail in BTech Tuition

Taught Remote Sensing and GIS in various colleges in Kerala.

GIS

Years of Experience in GIS

6

Teaching Experience in detail in GIS

GIS professional from 2010, takes classes on GIS in engineering colleges like NITC, TKM, CET etc

R Programming

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in R Programming

2

Teaching Experience in detail in R Programming

Working with R from a while, can teach basic R programming related to spatial analysis, Regression etc

Data Analysis Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Analysis Classes

7

Data analysis concepts taught

Regression Analysis

Teaching Experience in detail in Data Analysis Classes

Expert in various regression models such as OLS, Spatial Regression and GWR.

No Reviews yet!

Answers by Binoy B V (4)

Answered on 18/11/2022 Learn IT Courses/R Programming

Its better to take a beginer course offline or online for R programming, once you build the base you will be able to do the advanced analysis simply by online tutorials.
Answers 1 Comments
Dislike Bookmark

Answered on 18/11/2022 Learn IT Courses/R Programming

It is not compulsary to learn python and R to become a data scientist. But these are the most popular programming softwares for data science. The advantage of popular open source softwares is that lot of help will be available freely.
Answers 1 Comments
Dislike Bookmark

Answered on 26/06/2022 Learn IT Courses/Data Analysis

Basic software skills are required, plus a strong reading on the theoretical part. Initially read the concepts of statistical analysis followed by modeling and training on softwares like SPSS and Minitab. After that move on to programming like R and Python.
Answers 3 Comments
Dislike Bookmark

Answered on 26/06/2022 Learn IT Courses/Data Analysis

I would like to suggest a book "An Introduction to Statistical Learning" Published by Springer. It provides practical information from the basic level related to data analysis starting from regression modeling. Also, this book has codes for all the modeling to be done in R studio.
Answers 3 Comments
Dislike Bookmark

Binoy B V describes himself as GIS & Remote SensingExpert. He conducts classes in ArcGIS, BTech Tuition and Data Analysis. Binoy is located in Moonnamoodu, Thiruvananthapuram. Binoy takes Regular Classes- at his Home and Online Classes- via online medium. He has 9 years of teaching experience . Binoy has completed 2nd PUC from Kerala Board in 2006, Bachelor of Technology (B.Tech.) from CUSAT in 2010, Master of Engineering - Master of Technology (M.E./M.Tech.) from Anna University in 2014, Master of Business Administration (M.B.A.) from IGNOU in 2020 and Doctor of Philosophy (Ph.D.) from NITC in 2022. HeĀ is well versed in Hindi, Malayalam, English and Tamil.

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