What You'll Learn
Master geospatial data analysis with R. Learn to analyze spatial data, create maps, and extract valuable insights from geographic information.
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
Course Overview
FeaturedThis course provides a comprehensive introduction to analyzing geospatial data using R, a powerful open-source statistical programming language. Participants will learn to handle, visualize, and analyze spatial data through hands-on exercises and real-world case studies. The course covers the fundamentals of geospatial data manipulation, spatial statistics, and visualization techniques, empowering participants to perform sophisticated spatial analyses and generate insightful visualizations.
Course Duration
5 Days
Who Should Attend
- Geospatial analysts
- Data scientists and researchers
- Urban planners
- Environmental scientists
- GIS professionals
- Anyone interested in spatial data analysis using R
Course Impact
Organisational Impact
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Strengthens the organisation’s capacity to interpret and apply geospatial data for strategic decision-making.
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Enhances efficiency in projects related to urban planning, environmental management, and resource allocation.
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Provides cost-effective solutions by leveraging open-source R for advanced geospatial analytics.
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Improves the ability to generate actionable insights from spatial datasets, supporting evidence-based policies.
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Builds a skilled workforce capable of driving innovation through geospatial technologies.
Personal Impact
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Equips participants with practical skills in geospatial data handling, visualization, and analysis using R.
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Expands career opportunities in GIS, data science, urban planning, and environmental research.
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Enhances technical confidence through hands-on exercises and real-world case applications.
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Develops the ability to translate raw geospatial data into meaningful insights and impactful visualizations.
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Provides a strong foundation in open-source analytics, empowering participants to work independently and innovatively.
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamentals of geospatial data and its types.
- Gain proficiency in using R and relevant packages for spatial data analysis.
- Learn techniques for spatial data manipulation, including data import, cleaning, and transformation.
- Develop skills in visualizing geospatial data to effectively communicate insights.
- Apply spatial statistical methods to analyze spatial patterns and relationships.
Course Outline
Module 1: Introduction to Geospatial Data and R
- Overview of geospatial data types and formats (raster, vector, etc.)
- Introduction to R for spatial analysis
- Installing and configuring R packages for spatial analysis (e.g., sf, sp, rgdal)
Module 2: Spatial Data Manipulation
- Importing and exporting geospatial data (shapefiles, GeoJSON, etc.)
- Data cleaning and transformation techniques
- Working with coordinate reference systems and projections
Module 3: Spatial Data Visualization
- Creating maps with base R and ggplot2
- Customizing maps with layers, themes, and labels
- Visualizing spatial data distributions and patterns
Module 4: Spatial Statistical Analysis
- Introduction to spatial statistics concepts (e.g., spatial autocorrelation, kernel density estimation)
- Performing spatial clustering and hotspot analysis
- Conducting spatial regression analysis
Module 5: Advanced Topics and Case Studies
- Integrating geospatial data with other data types (e.g., time series, socioeconomic data)
- Advanced visualization techniques (interactive maps, 3D visualization)
- Case studies and practical applications in various fields (urban planning, environmental monitoring, etc.)
Prerequisites
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:
Email: outreach@idealworkplacesolutions.org
Mobile: +254759708394
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 |
USD 1,400
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
Early-bird Offer
Special pricing ends in:
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Training on Geospatial Data Analysis with R
Next class starts 5 Jan 2026
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