Dr. Kuntal Ganguly GIS, Remote Sensing, Cloud, ETL, Database
No reviews yet

Teaching Style: My approach is student-centric, focusing on interactive and engaging sessions. I believe in tailoring content to individual learning styles, incorporating real-world examples from my extensive GIS project experience.

Methodology: I employ a hands-on approach, encouraging students to actively participate in practical exercises. I leverage cutting-edge tools like Azure Data Management, FME ETL, and PostgreSQL for a comprehensive learning experience. Emphasis is placed on problem-solving and applying theoretical knowledge to practical scenarios.

Results: My teaching methodology has consistently yielded positive outcomes, with students gaining a strong grasp of GIS principles and practical skills. Many have successfully applied their learning in real-world projects, showcasing the effectiveness of the skills acquired during the course.

What Makes Me a Great Teacher: My combination of extensive industry experience and a passion for teaching sets me apart. I bring real-world relevance to the classroom, bridging the gap between theory and practical application. The diverse project portfolio, coupled with proficiency in cutting-edge GIS technologies, equips students with the skills needed to excel in the dynamic field of GIS.

Subjects

  • FME (Feature Manipulation Engine) Expert

  • PostGIS Expert

  • Azure Data Fundamentals Intermediate

  • Remote Sensing and GIS Applications Expert

  • Geographic Information Systems(GIS) Expert


Experience

  • Manager (Apr, 2017Present) at CTS, London
    Working for global industries and helping them to develop GIS capability within team. Look after huge GIS data, data management, processing. Building platform in cloud suitable for GIS users.

Education

  • Geo-engineering (Jul, 2014Feb, 2018) from Indian Space Research Organization, Hyderabad
  • Remote Sensing and GIS (Jun, 2010Apr, 2012) from SRM UNIVERSITY, kattangalathurscored A+
  • Geography and Disaster Management (Jul, 2007Aug, 2009) from TRIPURA UNIVERSITY, Agartalascored A+

Fee details

    £2050/hour (US$25.6464.10/hour)

    Fee can vary based on selective courses of single day for few days of long courses


Courses offered

  • Fundamentals of Remote Sensing and GIS for beginners

    • £300
    • Duration: 5 days
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: English, Hindi, Bengali
    • Certificate provided: No
    **Overview:**
    Embark on a journey into the captivating world of Remote Sensing and GIS with our comprehensive beginner course. Whether you're new to the field or seeking to solidify your foundational knowledge, this course provides a structured introduction to the essential concepts and practical applications.

    **Course Content:**

    1. Introduction to Remote Sensing:
    - Understanding the basics of remote sensing principles.
    - Types of sensors and platforms.

    2. GIS Fundamentals:
    - Introduction to Geographic Information Systems.
    - Spatial data types and formats.
    - Basics of map design.

    3. Image Interpretation:
    - Techniques for interpreting satellite and aerial imagery.
    - Identifying features and land cover.

    4. **Data Acquisition and Sources:**
    - Exploring various data sources for Remote Sensing and GIS.
    - Hands-on experience with acquiring and handling spatial data.

    5. Basic Image Processing:
    - Introduction to image enhancement techniques.
    - Performing basic operations on satellite imagery.

    6. GIS Data Analysis:
    - Basic spatial analysis using GIS tools.
    - Overlay operations and geoprocessing.

    7. Introduction to Mapping:
    - Creating thematic maps.
    - Understanding map elements and layout.

    **Teaching Methodology:**
    - Engaging lectures with real-world examples.
    - Hands-on practical sessions using popular GIS software.
    - Group discussions and case studies to apply knowledge.

    **Assessment:**
    - Practical assignments and projects.
    - Quizzes to reinforce understanding.
    - Final project showcasing application skills.

    **Outcome:**
    Upon completion, participants will have a solid foundation in Remote Sensing and GIS, enabling them to:
    - Understand key concepts and principles.
    - Analyze spatial data effectively.
    - Create basic maps and conduct simple spatial analysis.

    Join us in unraveling the fascinating realm of Remote Sensing and GIS – your gateway to unlocking the potential of spatial data.
  • Data manipulation and Transformation using FME

    • £500
    • Duration: 3 days
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: English
    • Certificate provided: No
    Unlock the power of FME (Feature Manipulation Engine) in this immersive course focused on data manipulation and transformation. Geared towards GIS professionals and data enthusiasts, this hands-on program equips participants with the skills to efficiently handle and transform diverse datasets using FME's robust capabilities.

    **Course Content:**

    1. **Introduction to FME:**
    - Overview of FME's role in data manipulation.
    - Understanding FME Workbench interface.

    2. **Data Reading and Writing:**
    - Importing data from various sources.
    - Configuring FME for seamless data export.

    3. **Attribute Manipulation:**
    - Techniques for modifying and transforming attribute data.
    - Creating custom expressions.

    4. **Geometry Transformation:**
    - Performing spatial transformations with FME.
    - Handling coordinate systems and projections.

    5. **Advanced Transformers:**
    - Exploring FME's advanced transformers.

    6. **Database Integration:**
    - Connecting FME with databases.
    - Efficiently manipulating and transforming database data.

    7. **Automation with FME Server:**
    - Introduction to FME Server for automating workflows.

    **Teaching Methodology:**
    - Interactive lectures and demonstrations.
    - Practical hands-on exercises using FME Workbench.
    - Real-world case studies for application-oriented learning.

    **Assessment:**
    - Completion of practical exercises.
    - Project-based assignments showcasing data manipulation skills.
    - Final project incorporating multiple FME transformations.

    **Outcome:**
    Upon completion, participants will:
    - Master FME's Workbench interface and its functionalities.
    - Demonstrate proficiency in manipulating both attribute and spatial data.
    - Be equipped to automate complex data workflows using FME Server.

    **Prerequisites:**
    Basic knowledge of GIS concepts and familiarity with spatial data formats. But if not, no problem, I will explain.

    Join us on a transformative journey to become an expert in Data Manipulation and Transformation using FME, revolutionizing your approach to handling diverse datasets.

Reviews

No reviews yet. Be the first one to review this tutor.