Data Visualization Training in Varna

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Varna (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 Varna (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 instructor-led, live training Varna (online or onsite) is designed for advanced-level DevOps engineers and SREs who seek to effectively manage and scale Prometheus and Grafana in large-scale environments.

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

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Varna (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 Varna (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This instructor-led, live training in Varna (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.

This instructor-led live training in Varna (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 live, instructor-led training Varna (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 Varna (online or onsite) is aimed at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

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

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Varna (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training in Varna (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.

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analyzing, and visualizing log data aggregated from diverse sources.

This instructor-led live training, available either online or onsite, is designed for intermediate IT professionals aiming to enhance their ELK proficiency. The curriculum focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

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

• Configuring complex ingestion and parsing workflows for various sources, including databases.
• Designing tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Implementing condition-based alerts and email notification systems.
• Leveraging regular expressions to enhance the precision of log searches.
• Managing user roles and access permissions to ensure secure log environments.
• Utilizing the Elasticsearch REST API to facilitate automation and integration.

Course Format

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

Customization Options

• For bespoke training requests, please contact us to discuss arrangements.

This instructor-led, live training in Varna (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

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

• Create and customize Grafana dashboards with different visualizations.
• Implement alerting and notifications for monitoring.
• Administer user accounts, teams, and permissions.
• Manage IT assets effectively, including hardware and software inventory.
• Implement a helpdesk system for user support and ticket management.

This instructor-led, live training Varna (online or onsite) is designed for intermediate-level administrators and developers aiming to deepen their expertise in Elasticsearch administration. Key areas include advanced dashboard development in Kibana and systematic system maintenance.

By the end of this session, attendees will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

Data Analysis involves examining, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and support decision-making.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who want to effectively manage, analyze, and visualize data to enhance performance and support decision-making.

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

• Create and manage databases.
• Apply regression, classification, and basic machine learning models.
• Develop dynamic reports and dashboards using Excel and Power BI.
• Use statistical techniques to inform decisions and analyze trends.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led live training in Varna (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.

Upon completion of this training, participants will acquire a practical, real-world understanding of Data Science, including its associated technologies, methodologies, and tools.

Attendees will have the chance to apply this knowledge through hands-on exercises. The class heavily emphasizes group interaction and direct feedback from the instructor.

The course begins with an overview of fundamental Data Science concepts before advancing to the specific tools and methodologies employed in the field.

Audience

• Developers
• Technical analysts
• IT consultants

Format of the Course

• A blend of lectures, discussions, exercises, and intensive hands-on practice

Note

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

This instructor-led, live training in Varna (online or on-site) is designed for data analysts who wish to build analytic applications using Python with Plotly and Dash.

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

• Set up real-time interactive dashboards for streaming live updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards with advanced authentication methods.

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

In this instructor-led, live training in Varna, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively.

• Use D3 to create interactive graphics, information dashboards, infographics and maps.
• Control HTML with jQuery-like selections.
• Transform the DOM by selecting elements and joining to data.
• Export SVG for use in print publications.

Designed for engineers and decision-makers engaged in data mining and knowledge discovery, this course provides essential insights into the field.

Participants will learn to craft effective plots and master the art of presenting data in a way that resonates with decision-makers, enabling them to uncover and comprehend hidden insights.

In this instructor-led, live training in Varna, participants will acquire the skills, strategies, tools, and approaches necessary for visualizing and reporting data to diverse audiences. Real-world case studies are analyzed and discussed to demonstrate how data visualization solutions are applied practically to extract meaning from data and address critical questions.

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

• Compose reports with engaging titles, subtitles, and annotations, utilizing optimal highlighting, alignment, and color schemes to enhance readability and user-friendliness.
• Design charts that align with the audience's specific information needs and interests.
• Select the most appropriate chart types for a given dataset, moving beyond standard pie and bar charts.
• Quickly identify and analyze the most valuable and relevant data points efficiently.
• Choose the best file formats to incorporate into reports, such as graphs, infographics, references, GIFs, etc.
• Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
• Utilize effective color-coding to represent qualitative and text-based data, including sentiment analysis, timelines, calendars, and diagrams.
• Apply the most suitable tools for the task, such as Excel, R, Tableau, mapping programs, and others.
• Prepare datasets effectively for visualization.

This program explores the principles of human perception and demonstrates how to apply them to deliver impactful insights. Participants will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum clarifies the distinctions and overlaps between exploratory and explanatory analysis. Learners will gain proficiency in selecting appropriate chart types and mastering the application of design principles to visualizations built with Tableau software.

This instructor-led, live training in Varna is designed for system administrators who wish to deploy an ELK stack (Elasticsearch, Logstash, and Kibana). Please note that a minimum of three participants is required for the course to proceed.

The training begins with an overview of ELK architecture and functionality, then transitions into live lab implementation and practice. Hands-on exercises are a vital part of the curriculum, providing participants the opportunity to apply their knowledge while receiving feedback on their progress.

This instructor-led, live training in Varna (online or onsite) is tailored for beginner-level professionals who aim to master the core principles of R and learn how to effectively handle data.

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

• Navigate the R programming environment and the RStudio interface with confidence.
• Import, manipulate, and explore datasets using R commands and packages.
• Execute basic statistical analysis and summarize data.
• Create visualizations using both base R and ggplot2.
• Efficiently manage workspaces, scripts, and packages.

This instructor-led, live training Varna (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.

This instructor-led, live training in Varna (online or onsite) is designed for web developers and DevOps engineers who want to visualize and monitor data using Grafana and Graphite.

Upon completing this training, participants will be able to:

• Aggregate and visualize metrics related to systems and applications.
• Develop a StatsD client to collect application metrics.
• Create informative and dynamic dashboards using Grafana.
• Gain insights from back-end performance data.

This course provides an introduction to Kibana for users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to integrate seamlessly with Elasticsearch. It allows you to search, view, and interact with data stored in Elasticsearch indices. You can effortlessly perform advanced data analysis and visualize your information through a wide range of charts, tables, and maps.

Kibana simplifies the comprehension of large data volumes. Its intuitive, browser-based interface enables you to quickly create and share dynamic dashboards that reflect real-time changes in Elasticsearch queries.

This course is designed for individuals seeking an alternative to the commercial MATLAB package. During the three-day training, participants will gain comprehensive insights into navigating the environment and utilizing the OCTAVE package for data analysis and engineering calculations. The course caters to both beginners and those already familiar with the software who wish to systematize their knowledge and enhance their skills. While prior knowledge of other programming languages is not required, it will significantly facilitate the learning process. Throughout the course, practical examples will demonstrate how to effectively use the program.

Master the art of acquiring and transforming data to build engaging, interactive dashboards.

Power BI stands out as one of the leading tools for data visualization and business intelligence. It comprises a suite of data connectors, applications, and software services designed to extract data from various sources, transform it, and generate visually compelling reports.

Furthermore, Power BI enables you to publish these reports within your organization, allowing seamless access across mobile devices, tablets, and other platforms. This Power BI tutorial provides a comprehensive, step-by-step guide to connecting with diverse data sources, performing data transformations, and creating rich visualizations such as charts, tables, matrices, and maps.

Microsoft Power BI converts your organizational data into compelling visuals, enabling new approaches to analyzing and structuring information. This empowers you to concentrate on the key elements driving your goals. The curriculum includes instruction on both Power BI Online and Power BI Desktop.

Target Audience:

This training is designed for Business Managers, Report Developers, Analysts, Project Managers, and Team Leads.

Learning Outcomes

Upon finishing this course, students will possess a foundational understanding of the following topics and demonstrate the ability to apply these concepts effectively.

• Power BI
• Power BI Desktop
• Handling CSV, TXT, and Excel Spreadsheets
• Establishing Database Connections
• Merging, Grouping, Summarizing, and Computing Data
• Report Generation
• Power BI Online

Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.

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

• Design beautiful and efficient dashboards following the critical rules.
• Choose the right charts based on the kind of data for display.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

In this instructor-led live training in Varna (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.

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

• Create visually compelling dashboards that provide valuable insights into data.
• Obtain and integrate data from multiple data sources.
• Build and share visualizations with team members.
• Adjust data with Power BI Desktop.

This instructor-led, live training in Varna (online or onsite) is designed for data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code.

Upon completing this training, participants will be able to:

• Configure the required development environment to begin creating data visualizations with Python.
• Grasp the core concepts, use cases, and tools of data visualization.
• Explore the various Python libraries available, including Matplotlib, Seaborn, Bokeh, and Folium.
• Learn how to generate line plots, statistical graphs, geospatial visuals, and other complex data visualizations using Python.
• Apply best practices and techniques for presenting and interpreting data.

This instructor-led, live training in Varna (online or onsite) targets data analysts and web developers seeking to develop associative models in Qlik Sense.

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

• Apply Qlik Sense in data science.
• Use and navigate the Qlik Sense interface.
• Build a data literate workforce with AI interaction.
• Create a data-driven enterprise with Qlik Sense.

In this instructor-led, live training in Varna (online or onsite), participants will learn how to start developing with QlikView.

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

• Install and configure QlikView.
• Transform data from various sources through QlikView scripting.
• Build data models with QlikView.

Tableau serves as a powerful business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad range of statistical and machine learning methods. By leveraging Tableau's robust data visualization capabilities alongside Python's machine learning strengths, developers can efficiently construct sophisticated data analytics solutions tailored to diverse business needs.

Through this instructor-led live training, attendees will discover how to effectively merge Tableau and Python to perform advanced analytics. This integration is achieved through the TabPy API.

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

• Integrate Tableau and Python via the TabPy API
• Leverage the combined power of Tableau and Python to analyze intricate business scenarios using minimal Python code

Audience

• Developers
• Data scientists

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Designed for those new to Tableau or those needing a refresher, this course walks you through the process of creating your initial visualization from scratch. You will learn to apply key design principles to your Tableau projects and, by the end of the course, will be able to produce and share insights with a broader audience.

This instructor-led, live training in Varna (online or onsite) is aimed at intermediate-level data professionals who wish to use Tableau to create advanced visualizations and dashboards for data-driven decision-making.

By the end of this training, participants will be able to: build advanced charts, use calculated fields and parameters, design interactive dashboards, and share insights effectively.

This instructor-led live training in Varna (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

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

• Set up the necessary development environment to start developing.
• Build distributed, stateful, rule-based event-processing systems.
• Manage business events data and execute proper business rules.
• Reduce the event response time in large-scale, data driven applications.
• Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.

This instructor-led live training in Varna (online or onsite) targets engineers, researchers, and data analysts who aim to utilize TIBCO Statistica features to create analytic workflows and models.

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

• Install and navigate the TIBCO Statistica program to build and manage data analysis projects.
• Understand statistics basics to analyze data and generate useful insights for the business.
• Explore advanced topics to work with big data and machine learning using TIBCO Statistica.

Audience

Course Format

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

This instructor-led live session guides attendees through the process of manipulating and visualizing data using the tools provided by the Tidyverse.

Tidyverse is a comprehensive suite of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Key packages within the suite include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R language
• Novices in data analysis and data visualization

• A blend of lectures, discussions, exercises, and extensive hands-on practice

• Conduct data analysis and produce compelling visualizations
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Convert processed data into informative line plots, bar plots, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files

This engaging four-day course is tailored for Tableau beginners. Participants will gain comprehensive familiarity with all Tableau capabilities and learn the essential skills for creating and sharing data visualizations. The curriculum guides learners through every critical step, including connecting to data sources, developing calculations, selecting appropriate chart types, constructing dashboards, and publishing the final results.

The training is structured into thematic lectures followed by practical application exercises. The course concludes with a 30-minute knowledge test and a 60-minute project assignment.

Key learning outcomes:

• Master the Tableau interface.
• Connect to and manipulate your data effectively.
• Utilize core Tableau features.
• Create insightful data visualizations.
• Share your insights with a wider audience.

Course Format:

• Interactive lectures and discussions.
• Extensive hands-on exercises.
• Live-lab implementation activities.
• Final knowledge assessment and practical project.