Data Analysis with Python, Pandas and Numpy Training Course

This instructor-led, live training in Italy (online or onsite) is designed for field ecologists and conservation managers who want to create spatial data projects in ArcGIS.

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

• Visualize spatial data as outputs.
• Perform geostatistics on real-world data.
• Implement spatial data analysis, data processing, and mapping using ArcGIS.
• Analyze spatial data for projects within ArcGIS.

This instructor-led, live training in Italy (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led live training in Italy (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

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 Italy (online or onsite) is designed for 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 the advanced tier of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, process automation, and enterprise-level collaboration.

This live training, available in both online and onsite formats with expert instruction, is designed for intermediate GIS professionals seeking to enhance their expertise in spatial data analysis, automation, and content sharing through ArcGIS Professional Plus tools.

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

• Utilize ArcGIS Pro Plus tools effectively for data visualization and analytical tasks.
• Develop 2D and 3D maps employing advanced symbology and geoprocessing methods.
• Automate operational workflows using ModelBuilder and Python scripting.
• Seamlessly integrate ArcGIS with external data services and enterprise systems.

Course Format

• Engaging interactive lectures and discussions.
• Extensive hands-on exercises and practical practice.
• Real-world implementation within a live laboratory environment.

Course Customization Options

• For tailored training arrangements, please contact us directly.

This instructor-led, live training in Italy (online or onsite) is designed for advanced-level GIS professionals who want 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.

In the dynamic energy sector, combining electrical transient analysis with precise geographic data is a strategic imperative. Relying on disjointed data currently exposes organizations to substantial operational risks. This intensive 14-day course, hosted in Melbourne, is structured to bridge the divide between electrical engineering and geospatial management.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level geographers looking to enhance their proficiency in spatial analysis, data management, and GIS applications.

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

• Applying sophisticated spatial analysis techniques to address complex geographical challenges.
• Managing extensive spatial databases and executing rigorous data quality control measures.
• Developing dynamic, interactive maps and visualizations tailored to diverse applications.
• Leveraging programming and automation to optimize GIS workflows.

This instructor-led, live training in Italy (online or onsite) is aimed at developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps.

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

• Embed a map into a new or existing website or web application.
• Display live data that synchs with current location.
• Create a mashup that includes Google Maps.
• Apply good CSS and JavaScript coding practices
• Create a custom map for an application.

Insurance in the Digital Era offers a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led live training (available online or onsite) is designed for intermediate-level insurance professionals who wish 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) plays a pivotal role in software and systems development, centering on the identification, documentation, and management of stakeholder needs and constraints to guarantee project success.

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

After completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• 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 upon request.

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

By the end 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 optimize tasks.

A geographic information system (GIS) is a framework engineered to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also occasionally employed to denote geographic information science (GIScience), which refers to the academic discipline investigating these systems and represents a significant domain within the broader field of geoinformatics.

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

In its initial phase, this program introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries of QGIS—which allows the integration of GIS functionalities into your Python code or applications, enabling you to develop custom Python Plugins for specific GIS features.

This instructor-led, live training in Italy (online or onsite) is designed for individuals who wish to understand requirements analysis and execute it efficiently and accurately using analysis techniques for their projects.

Upon completing this training, participants will be capable of:

• identifying various types of requirements.
• understanding the core concepts and activities associated with requirements analysis.
• familiarizing themselves with the requirements analysis methodology.
• effectively utilizing diverse requirements analysis techniques to their benefit.
• structuring requirements to facilitate efficient communication with architects and developers through an iterative requirement gathering process.