Data Analytics Training in Sofia

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with dynamic thresholds and contextual updates.

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

• Create dashboards that respond to user interactions, such as clicking a graph bar
• Implement visual drill-downs that update in-place (without new tabs)
• Configure pie charts and detailed panels based on selection filters
• Use dynamic thresholds that react to user input and real-time data

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

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

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

This live, instructor-led training in Sofia (online or onsite) is designed for intermediate-level data professionals who want to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

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

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

This instructor-led, live training in Sofia (online or onsite) is designed for advanced-level DevOps and SRE professionals aiming to elevate their alerting and automation proficiency with Grafana and Prometheus.

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

• Creating and administering advanced alerting rules in Prometheus.
• Integrating Prometheus Alertmanager with external tools via webhooks.
• Automating alert responses to expedite issue resolution.
• Leveraging Grafana for effective visualization and management of alerts.

Upon completion of this instructor-led, live training in Sofia, participants will acquire a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

Through hands-on exercises, participants will have the opportunity to apply this knowledge directly. Group interaction and feedback from the instructor are key components of the class experience.

The course begins with an introduction to the fundamental concepts of Big Data, then moves on to the programming languages and methodologies employed for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.

This instructor-led, live training in Sofia (online or onsite) targets beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led live training in Sofia (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

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

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led live training in Sofia (available online or on-site) is designed for GIS professionals and analysts, from beginner to advanced levels, 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 live, instructor-led training Sofia (available online or onsite) is tailored for intermediate-level DevOps and SRE professionals seeking to create impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.

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

• Apply best practices for designing effective dashboards.
• Create and configure sophisticated Grafana dashboard components.
• Utilize Grafana templating to build dynamic and reusable dashboard structures.
• Deploy alerting mechanisms to improve operational awareness.

This instructor-led, live training in Sofia (online or onsite) targets 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 better 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 Sofia (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Sofia (online or onsite) is designed for data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Support business operations with data-driven decision-making.

This instructor-led, live training in Sofia (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 Sofia (online or onsite) targets beginner-level IT professionals and DevOps practitioners eager to learn the basics of Grafana and Prometheus.

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

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Sofia (online or on-site) is designed for intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led training in Sofia (online or onsite) is designed for beginner-level professionals seeking to master the essential concepts and tools of ArcGIS.

By the conclusion of this training, participants will be capable of:

• Understanding core GIS concepts and spatial data fundamentals.
• Navigating the ArcGIS interface with confidence.
• Creating and managing spatial data effectively.
• Conducting basic spatial analysis.
• Producing maps and visualizations.

This instructor-led, live training in Sofia (online or onsite) is designed for beginner-level professionals in earth sciences and engineering 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.

The aim of the course is to help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Sofia (online or onsite) is designed for geographers with intermediate proficiency who aim to enhance their skills in spatial analysis, data management, and GIS applications.

Upon completing this training, participants will be capable of:

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

This instructor-led live training in Sofia (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

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

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led live training in Sofia covers practical Requirements Engineering concepts, elicitation techniques, and documentation methods. It provides extensive exam preparation to help participants master the IREB CPRE syllabus and pass the Foundation Level certification.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led live training, delivered Sofia (online or onsite), is intended for developers and administrators who aim to utilize OpenSearch for distributed search and data analytics in a cohesive and secure system.

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

• Set up the necessary development environment to begin building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Sofia (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led live training in Sofia (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

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

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

This instructor-led, live training in Sofia (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 program focuses on applying data analytics techniques and methodologies to solve business challenges using R, Python, and SQL. It highlights the connection between business needs and data analytics, positioning the latter as a practical toolkit for addressing business questions and problems.

This instructor-led, live training in Sofia (online or onsite) is designed for data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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

• Develop an effective data cleaning strategy.
• Implement useful tools for data cleaning.
• Get a result more efficiently.
• Learn and apply data cleaning best practices.

In the dynamic energy sector, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Currently, depending on disconnected data sources creates substantial operational risks. This intensive 14-day course in Melbourne aims to connect electrical engineering with geospatial management.

This instructor-led, live training Sofia (onsite or remote) is designed for data analysts who wish to utilize Grafana for monitoring and visualizing data.

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

• Configuring the necessary development environment to begin creating visualizations in Grafana.
• Setting up Grafana to ensure high availability.
• Customizing panels and dashboards using data inputs.
• Configuring a reverse proxy to optimize loading speeds.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, KNIME installation and configuration, workflow construction, methodologies for building business models and data modeling. The course also explores advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion addresses reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Sofia (online or on-site) is aimed at data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

As your participants prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

This instructor-led live training in Sofia (available online or onsite) is tailored for individuals seeking to understand requirements analysis and execute it efficiently and accurately using appropriate 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.
• Become familiar with the requirements analysis methodology.
• Apply various requirements analysis techniques to their advantage.
• Structure requirements to enable efficient communication with architects and developers through an iterative gathering process.

This instructor-led, live training in Sofia (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Sofia (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.