Data Analysis with Python, Pandas and Numpy Training Course

This instructor-led live training in Slovakia (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

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

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

• Output spatial data as visualizations.
• Conduct geostatistics 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 Slovakia (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, offered Slovakia (online or onsite), targets beginner-level IT support personnel seeking to deliver robust support for ArcGIS Enterprise, with a focus on effectively resolving anomalies and failures.

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

• Understand the architecture and core 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 Slovakia (online or onsite) is designed for beginner-level professionals seeking to learn the fundamental concepts and tools of ArcGIS.

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

• Grasp the fundamental principles of GIS and spatial data.
• Navigate the ArcGIS interface with confidence.
• Create and manage spatial data effectively.
• Conduct basic spatial analysis.
• Produce maps and visualizations.

ArcGIS Professional Plus represents the advanced tier of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and collaborative enterprise workflows.

This instructor-led live training (available online or onsite) targets intermediate GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.

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

• Utilizing ArcGIS Pro Plus tools for effective data visualization and analysis.
• Developing 2D and 3D maps utilizing advanced symbology and geoprocessing techniques.
• Automating workflows through ModelBuilder and Python scripting.
• Integrating ArcGIS with external data services and enterprise systems.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in Slovakia (online or onsite) 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.

In the dynamic energy sector, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Relying on disjointed data currently poses significant operational risks. This intensive 14-day program in Melbourne is crafted to bridge the gap between electrical engineering and geospatial management.

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

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

• Apply advanced spatial analysis techniques to resolve complex geographical issues.
• Manage large-scale spatial databases and perform data quality control.
• Develop dynamic and interactive maps and visualizations for various applications.
• Use programming and automation to streamline GIS workflows.

Insurance in the Digital Era provides an applied overview of how digital transformation reshapes products, operations, and customer engagement in the insurance industry.

This instructor-led, live training (online or onsite) is aimed at intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize 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) serves as a pivotal discipline in software and systems development, centered on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led live training, available online or onsite, targets intermediate-level professionals aiming 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 able to:

• Comprehend and apply the core 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.
• Utilize 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 Slovakia (online or onsite) is aimed at 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:

• 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 system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.

This instructor-led live training in Slovakia (online or onsite) is designed for professionals seeking to understand requirements analysis and execute it efficiently and accurately using appropriate analysis techniques for their projects.

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

• Differentiating between various types of requirements.
• Comprehending the core concepts and activities associated with requirements analysis.
• Gaining familiarity with established requirements analysis methodologies.
• Leveraging diverse requirements analysis techniques for optimal results.
• Organizing requirements to facilitate efficient communication with architects and developers through an iterative gathering process.