Data Cleaning Training Course

This instructor-led, live training in Mexico (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, conducted in Mexico (online or onsite), is designed for GIS professionals and analysts at all levels. It aims to equip participants with the skills to utilize ArcGIS effectively for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and apply ArcGIS tools for managing geospatial data.
• Design and customize maps using layers and attributes.
• Execute complex spatial analysis and geoprocessing operations.
• Streamline workflows through ModelBuilder and Python automation.

This instructor-led, live training in Mexico (online or onsite) targets beginner-level IT support staff who aim to provide robust support for ArcGIS Enterprise and effectively address system anomalies or failures.

Upon completing this training, participants will be able to:

• Comprehend the architecture and core components of ArcGIS Enterprise.
• Learn how to install, configure, and manage ArcGIS Enterprise.
• Acquire skills to troubleshoot and resolve common operational issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master backup, recovery, and performance optimization techniques.

This instructor-led, live training in Mexico (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.

ArcGIS Professional Plus represents an enhanced tier 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 seeking to deepen their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

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

Format of the Course

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Mexico (online or in-person) is designed for 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 Mexico (online or onsite) is designed for GIS analysts who want 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.

In the ever-changing energy industry, combining electrical transient analysis with accurate geographic data is a strategic requirement. Currently, relying on disconnected data creates significant operational risks. This 14-day intensive course in Melbourne is designed to bridge the gap between electrical engineering and geospatial management.

This instructor-led live training in Mexico (online or onsite) is designed for geographers at an intermediate level who want to deepen their expertise in spatial analysis, data management, and GIS applications.

Upon completion of this training, participants will be capable of:

• Implementing advanced spatial analysis techniques to address complex geographical challenges.
• Managing extensive spatial databases and conducting data quality assurance.
• Developing dynamic, interactive maps and visualizations for diverse applications.
• Leveraging programming and automation to optimize GIS workflows.

This instructor-led live training in Mexico (available online or onsite) is designed for developers who wish to enhance their websites or web applications by integrating geo-location functionality through Google Maps.

Upon completing this training, participants will be able to:

• Embed a map into a new or existing website or web application.
• Display real-time data that synchronizes with the user’s current location.
• Build a mashup that incorporates Google Maps.
• Apply best practices for CSS and JavaScript coding.
• Design a custom map for an application.

Insurance in the Digital Age provides a practical look at how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led, live training (available online or onsite) is designed for intermediate-level insurance professionals who want to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operations.

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

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and how they affect the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

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

Requirements Engineering (RE) stands as a fundamental discipline in software and systems development, dedicated to identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals eager to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completing this training, participants will be able to:

• Understand and apply the key concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Use Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added on request.

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

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

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

A geographic information system (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also sometimes used to refer to Geographic Information Science (GIScience), which represents the academic discipline dedicated to studying these systems and forms a significant part of the broader field of geoinformatics.

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

This program is divided into two phases. The first phase introduces the QGIS interface for general use. In the second phase, we explore PyQGIS—QGIS's Python libraries—which allow you to integrate GIS functionalities into your Python code or applications. This capability even enables you to develop custom Python plugins tailored to specific GIS functions.