Data and Analytics - from the ground up Training Course

This instructor-led, live training in Turkey (online or onsite) is designed for advanced-level DevOps and SRE professionals seeking to improve their alerting and automation skills with Grafana and Prometheus.

By the conclusion 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 Turkey (online or on-site) 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 live, instructor-led training in Turkey (online or onsite) caters to GIS professionals and analysts from beginner to advanced levels who aim to leverage ArcGIS for data visualization, spatial analysis, and geospatial project management.

Upon completion, participants will gain the ability to:

• Effectively navigate and apply ArcGIS tools for managing geospatial data.
• Design and tailor maps utilizing layers and attributes.
• Execute complex spatial analysis and geoprocessing operations.
• Streamline workflows through ModelBuilder and Python automation.

This live, instructor-led training Turkey (online or onsite) is tailored for beginner-level IT support personnel seeking to provide strong support for ArcGIS Enterprise and effectively resolve any system anomalies or failures.

By the conclusion 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 live, instructor-led training in Turkey (available online or on-site) is intended for beginner-level professionals seeking to learn the essential concepts and tools of ArcGIS.

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

• Grasp the fundamental principles of GIS and spatial data.
• Navigate effectively within the ArcGIS interface.
• Create and manage spatial datasets.
• Execute basic spatial analysis techniques.
• Produce maps and visual representations.

This instructor-led, live training in Turkey (online or onsite) is designed for advanced GIS professionals who aim to leverage ArcGIS Pro to improve their spatial analysis capabilities, perform comprehensive geostatistical analysis, and implement advanced 3D modeling techniques to facilitate more effective decision-making and problem-solving in practical contexts.

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

• Acquire advanced skills in spatial analysis techniques using ArcGIS Pro.
• Employ Python scripting for automation and complex data processing.
• Apply spatial modeling to solve real-world problems.
• Conduct geostatistical analysis for in-depth data interpretation.
• Integrate external data sources and utilize 3D spatial data analysis.

In the rapidly changing energy landscape, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Relying on disconnected data sources currently exposes organizations to considerable operational hazards. This intensive 14-day program held in Melbourne aims to close the divide between electrical engineering principles and geospatial management.

This instructor-led, live training in Turkey (online or onsite) is tailored for intermediate-level geographers aiming to enhance their expertise in spatial analysis, data management, and GIS applications.

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

• Apply sophisticated spatial analysis techniques to resolve intricate geographical issues.
• Manage extensive spatial databases and perform thorough data quality control.
• Develop dynamic and interactive maps and visualizations for a variety of uses.
• Use programming and automation to streamline GIS processes.

This live, instructor-led training in Turkey dives into practical RE concepts, elicitation strategies, and documentation techniques. It offers thorough exam preparation, helping participants master the IREB CPRE syllabus and secure their Foundation Level certification.

This instructor-led, live training in Turkey (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:

• 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.

This instructor-led, live training in Turkey (online or on-site) is intended for individuals who want to understand requirements analysis and perform it efficiently and accurately using specific analysis techniques for their projects.

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

• Identify different types of requirements.
• Understand the overall concepts and activities within requirements analysis.
• Be familiar with the requirements analysis methodology.
• Use different requirements analysis techniques to their advantage.
• Structure requirements to communicate efficiently with architects and developers through an iterative requirement gathering process.