Google Maps API for Developers Training Course

This instructor-led, live training in Kenya (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

By the end of this training, participants will be able to:

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.

By the end of this training, participants will be able to:

• Understand the fundamentals of ArcMap and ArcGIS.
• Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
• Conduct spatial queries for impact evaluation.

This instructor-led live training in Kenya (available online or onsite) is designed for GIS professionals and analysts, from beginner to advanced levels, who wish to learn how to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

Upon completion of this training, participants will be able to:

• Effectively navigate and employ ArcGIS tools for managing geospatial data.
• Design and tailor maps by utilizing layers and attributes.
• Execute sophisticated spatial analysis and geoprocessing operations.
• Streamline workflows through the use of ModelBuilder and Python.

This instructor-led, live training in Kenya (online or on-site) is designed for beginner-level IT support professionals looking to provide strong support for ArcGIS Enterprise, effectively handling any system anomalies or failures.

By the end of this training, participants will be able to:

• Understand the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

By the end of this training, participants will be able to:

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

Upon completing this training, participants will be equipped with the following capabilities:

• Gaining a solid grasp of GIS principles and spatial data types through the most recent version of ArcGIS Pro.
• Navigating the user interface and assessing its practical applications.
• Exploring ArcGIS Pro and leveraging available online resources.
• Managing, manipulating, and analyzing personal datasets effectively.
• Presenting and sharing data in insightful and innovative ways.

Note: The training will utilize the latest version of ArcGIS Pro.

ArcGIS Professional Plus serves as an enhanced version of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led live training, available online or onsite, is designed for intermediate-level GIS professionals looking to deepen their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.

Upon completion of this training, participants will be equipped to:

• Utilize ArcGIS Pro Plus tools for effective data visualization and analysis.
• Develop 2D and 3D maps employing advanced symbology and geoprocessing techniques.
• Automate workflows through ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

By the end of this training, participants will be able to:

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led, live training in Kenya (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.

By the end of this training, participants will be able to:

• Build GIS applications using Python and ArcGIS tools.
• Develop with the ArcGIS package ArcPy, using Python.
• Apply the ArcGIS modules for map automation using object classes in Python.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level IT professionals who wish to use Google Cloud Platform to understand core services, deploy cloud workloads, and follow operational best practices.

By the end of this training, participants will be able to explain core Google Cloud services, deploy basic workloads, and apply security and monitoring practices.

This instructor-led live training in Kenya (available online or onsite) is designed for data analysts who intend to use Google Analytics to monitor and report on website data.

By the conclusion of this training, participants will be able to:

• Configure Google Analytics to gather website data.
• Generate and analyze reports.
• Extract insights and facilitate data-driven decisions.

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

This instructor-led, live training in Kenya (online or onsite) is designed for beginner-level earth sciences and engineering professionals who aim to leverage Python for geospatial analysis in both ArcGIS and QGIS environments.

Upon completion of this training, participants will be able to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Employ Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS contexts.
• Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to enhance task efficiency.

A Geographic Information System (GIS) is a framework built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic discipline that studies these systems, which forms a significant part of the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as point, line, or polygon features. The software accommodates various raster image formats and can georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial data across Windows, Mac, Linux, and BSD platforms.

In the first phase, this course introduces the QGIS interface for general usage. The second phase covers PyQGIS, the Python libraries of QGIS, which allow the integration of GIS functionalities into your Python code or applications. This enables you to develop your own Python plugins tailored to specific GIS functionalities.