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What You'll Learn

Gain practical skills in analyzing, visualizing, and interpreting large-scale spatial datasets with Google Earth Engine for planning and research.
Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Big Data in Geospatial Analysis with Google Earth Engine - Course Cover Image
Duration 5 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This course is designed for GIS specialists, data analysts, environmental scientists, urban planners, and policy professionals who want to leverage big data and cloud-based geospatial platforms to drive informed decisions. Participants will learn to access, process, and analyze massive spatial datasets using Google Earth Engine, enabling them to generate insights for environmental monitoring, urban development, climate assessment, and resource management.

Through practical exercises and real-world case studies, participants will develop the skills to convert large-scale geospatial data into actionable insights, visualize complex spatial patterns, and support evidence-based planning and policy decisions.

Duration

5 Days

Who Should Attend

  • GIS and remote sensing professionals

  • Environmental and climate analysts

  • Urban and regional planners

  • Data scientists working with spatial datasets

  • Policy makers and research analysts in geospatial applications

Course Impact

Personal Impact

  • Builds technical expertise in big data geospatial analysis

  • Enhances skills in cloud-based GIS platforms and large dataset management

  • Improves capability to interpret complex spatial patterns for decision support

Organizational Impact

  • Strengthens data-driven planning and evidence-based project design

  • Improves efficiency in environmental, urban, and climate analytics

  • Enhances organizational capacity for advanced geospatial analysis and reporting

Course Objectives

By the end of the course, participants will be able to:

  • Access and manage large geospatial datasets in Google Earth Engine

  • Analyze and visualize spatial and temporal patterns using big data

  • Apply geospatial analytics to support environmental, urban, and climate-related projects

  • Develop maps, reports, and dashboards for professional presentations

  • Implement geospatial solutions to inform decision-making and strategic planning

Course Outline

Module 1: Introduction to Big Data and Google Earth Engine

  • Overview of big data concepts in geospatial analysis

  • Introduction to Google Earth Engine and cloud-based GIS platforms

  • Types of spatial datasets and their applications

  • Case Study: Large-scale environmental monitoring using GEE


Module 2: Data Acquisition and Preprocessing

  • Accessing satellite imagery and open-source datasets

  • Data cleaning, filtering, and validation

  • Organizing datasets for analysis

  • Practical Exercise: Import and preprocess Landsat or Sentinel imagery for analysis


Module 3: Geospatial Analysis Using Big Data

  • Temporal and spatial data analysis techniques

  • Change detection, trend analysis, and pattern recognition

  • Statistical and computational approaches in geospatial analytics

  • Case Study: Monitoring deforestation or urban expansion using GEE


Module 4: Visualization and Mapping

  • Creating high-quality maps, graphs, and dashboards

  • Effective communication of geospatial insights to stakeholders

  • Customizing visual outputs for reports and presentations

  • Practical Exercise:Generate a geospatial dashboard using big data outputs


Module 5: Application and Strategic Implementation

  • Applying geospatial insights to policy, planning, and environmental management

  • Decision-support frameworks using big data

  • Integrating Google Earth Engine outputs into organizational workflows

  • Practical Exercise:Develop a mini-project using GEE for a real-world geospatial problem

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

Yes, participants work on real geospatial datasets and practical exercises.
Basic GIS knowledge is helpful but not mandatory; the course is suitable for beginners and intermediate users.
Yes, participants will gain techniques directly applicable to environmental, urban, and climate projects.
Yes, participants will learn best practices for handling, processing, and analyzing large-scale geospatial datasets efficiently.
Absolutely. The course equips professionals to use geospatial insights for evidence-based decision-making.
Training on Big Data in Geospatial Analysis with Google Earth Engine

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