Data Visualization Training in Belgrade

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 Belgrade (online or onsite) is tailored for intermediate-level Grafana users looking 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 Belgrade (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 in Belgrade (online or onsite) targets advanced-level DevOps engineers and SREs who aim to effectively manage and scale Prometheus and Grafana for large environments.

By the end 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 Belgrade (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, conducted in Belgrade (online or onsite), targets advanced-level Kubernetes administrators and DevOps engineers who want 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 Belgrade (online or onsite) is targeted at advanced-level DevOps and SRE professionals looking 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 Belgrade (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 Belgrade (online or onsite) targets intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Grasp best practices for designing effective dashboards.
• Construct and configure advanced Grafana dashboard components.
• Utilize Grafana templating to create dynamic and reusable dashboard structures.
• Establish alerting systems to bolster operational visibility.

This course covers various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It demonstrates how to access and process data from diverse sources, including both relational and non-relational databases. Additionally, the course explores implementing robust security standards and policies across the Power BI ecosystem, covering datasets and groups. It also addresses the management and deployment of reports and dashboards for effective sharing and content distribution.

This instructor-led, live training in Belgrade (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 Belgrade (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 Belgrade (online or onsite) is aimed at beginner-level IT professionals and DevOps practitioners who wish 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) is a robust platform designed for the real-time search, analysis, and visualization of log data collected from diverse sources.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level IT professionals aiming to expand their ELK expertise. The course focuses on managing distributed log data, automating alert systems, and developing sophisticated visualizations and dashboards.

Upon completing this training, participants will be equipped to:

• Set up advanced ingestion and parsing pipelines for various sources, including databases.
• Design tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Deploy email notifications and establish condition-based alerting mechanisms.
• Utilize regular expressions to enhance the precision of log searches.
• Administer user roles and access permissions to ensure a secure logging environment.
• Engage with the Elasticsearch REST API to facilitate automation and system integration.

Course Format

• Engaging lectures combined with interactive discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For organizations requiring tailored training for this course, please reach out to us to discuss your specific needs.

This instructor-led, live training in Belgrade (online or onsite) is designed for 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 in Belgrade (online or onsite) is tailored for intermediate-level administrators and developers seeking to deepen their understanding of Elasticsearch administration. The program includes advanced techniques for dashboard development in Kibana, as well as system maintenance.

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

• Setting up and configuring Elasticsearch and Kibana environments to support advanced administration and dashboard development.
• Creating and managing Elasticsearch indices, mappings, and data models.
• Developing complex queries and filters to derive valuable insights from Elasticsearch data.
• Designing and constructing interactive dashboards in Kibana utilizing diverse visualization types and techniques.
• Implementing best practices for the administration, optimization, and troubleshooting of Elasticsearch and Kibana.

Data Analysis involves inspecting, cleaning, transforming, and modeling data to uncover actionable insights, draw conclusions, and support informed decision-making.

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

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

• Build and manage databases.
• Implement regression, classification, and fundamental machine learning models.
• Develop dynamic reports and dashboards using Excel and Power BI.
• Apply statistical techniques to analyze trends and guide decisions.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live lab environment.

Customization Options

• To request a customized version of this course, please contact us to make arrangements.

This instructor-led live training in Belgrade (online or onsite) is designed for 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.

By completing this training, participants will develop a practical, real-world grasp of Data Science, including its associated technologies, methodologies, and tools.

Learners will apply this knowledge through interactive exercises. The course heavily incorporates group interaction and direct feedback from the instructor.

The curriculum begins with fundamental Data Science concepts and advances to the specific tools and methods employed in the field.

Audience

• Developers
• Technical analysts
• IT consultants

Course Format

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

Note

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

This instructor-led live training in Belgrade (online or onsite) is intended for data analysts who want to build analytic applications using Python with Plotly and Dash.

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

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

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

In this instructor-led, live training held in Belgrade, attendees will learn how to develop web-based, data-driven visualizations that are responsive across multiple devices.

• Utilize D3 to create interactive graphics, information dashboards, infographics, and maps.
• Manage HTML elements using jQuery-style selections.
• Manipulate the DOM by selecting elements and binding them to data.
• Export SVG files for use in printed publications.

About This Course

This course covers the essential methods and best practices aligned with business and technical needs for modeling, visualizing, and analyzing data using Power BI. It demonstrates how to access and process data from diverse sources, including both relational and non-relational databases. Participants will also learn to implement robust security standards and policies across the Power BI ecosystem, covering datasets and groups, as well as how to manage, deploy, and distribute reports and dashboards.

Audience Profile

This course is designed for data professionals and business intelligence practitioners seeking to master data analysis with Power BI. It is also ideal for report developers who visualize data from cloud-based and on-premises data platform technologies.

Skills gained

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply and perform advanced report analytics
• Manage and share report assets

This course explores the various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It demonstrates how to access and process data from diverse sources, including both relational and non-relational data. The course also covers implementing security standards and policies across the Power BI ecosystem, encompassing datasets and groups. Additionally, it discusses managing and deploying reports and dashboards for sharing and content distribution. Finally, the course shows how to build paginated reports within the Power BI service and publish them to a workspace for integration into Power BI.

This course is designed for engineers and decision-makers involved in data mining and knowledge discovery.

You will learn how to create effective plots and present your data in ways that engage decision-makers and help them uncover hidden insights.

In this instructor-led, live training in Belgrade, participants will acquire the skills, strategies, tools, and methodologies necessary for visualizing and reporting data to diverse audiences. Case studies will be examined and discussed to demonstrate how data visualization solutions are utilized in real-world scenarios to extract meaning from data and address critical questions.

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

• Compose reports featuring engaging titles, subtitles, and annotations, utilizing appropriate highlighting, alignment, and color schemes to enhance readability and user-friendliness.
• Design charts that align with the audience's information requirements and interests.
• Select the most suitable chart types for specific datasets (extending beyond standard pie and bar charts).
• Quickly and efficiently identify and analyze the most valuable and relevant data.
• Choose the optimal file formats for inclusion in reports, such as graphs, infographics, references, GIFs, etc.
• Develop effective layouts for presenting time series data, part-to-whole relationships, geographic patterns, and nested data.
• Utilize effective color-coding to display qualitative and text-based data, including sentiment analysis, timelines, calendars, and diagrams.
• Apply the most appropriate tools for the task, such as Excel, R, Tableau, mapping software, etc.
• Prepare datasets for visualization.

This course explores the intricacies of human perception and demonstrates how to harness it for delivering optimal insights. Participants will gain familiarity with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum also clarifies the distinctions and overlaps between exploratory and explanatory analysis. Students will learn to select appropriate chart types for specific data stories and, upon completion, will master the application of design principles within visualizations built using Tableau software.

This instructor-led, live training in Belgrade is designed for system administrators who want to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 delegates is required for this course to take place.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginner-level professionals who wish to gain a mastery of the fundamentals of R and how to work with data.

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

• Understand the R programming environment and RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarization.
• Generate visualizations using both base R and ggplot2.
• Manage workspaces, scripts, and packages effectively.

This instructor-led, live training in Belgrade (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

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

• Set up the necessary development environment to start creating visualizations in Grafana.
• Set up Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy for fast loading speeds.

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

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

• Aggregate and visualize metrics about systems and applications.
• Create a StatsD client for gathering application metrics.
• Build informative and dynamic dashboards with Grafana.
• Gather insights from back-end performance.

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

Kibana is an open-source analytics and visualization platform built to integrate seamlessly with Elasticsearch. It allows you to search, view, and interact with data stored in Elasticsearch indices. You can effortlessly conduct advanced data analysis and visualize your information across various charts, tables, and maps.

Kibana simplifies the comprehension of large data volumes. Its straightforward, 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 a powerful alternative to the commercial MATLAB suite. Over three days, participants will gain comprehensive insights into navigating the environment and utilizing the Octave package for data analysis and engineering computations. The training caters to both beginners and those with prior experience who wish to systematize their understanding and refine their skills. While knowledge of other programming languages is not mandatory, it significantly accelerates the learning process. Through numerous practical examples, the course demonstrates how to effectively apply the program in real-world scenarios.

Discover how to Get & Transform Data to create engaging, interactive dashboards.

Power BI stands out as one of the most widely adopted 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 appealing reports.

Furthermore, Power BI enables you to publish these reports across your organization, allowing access via mobile devices, tablets, and other platforms. This Power BI Tutorial guides you through a step-by-step process to connect with diverse data sources, perform data transformations, and build reports featuring charts, tables, matrices, maps, and more.

Microsoft Power BI converts your corporate data into comprehensive visuals, enabling new approaches to analyzing and structuring your information. This allows you to concentrate on the key elements essential for achieving your objectives. This course covers both Power BI Online and Power BI Desktop.

Target Audience:

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

Course Outcomes

After completing this course, students will have a foundational understanding of the topics listed below, along with the ability to apply and implement the learned concepts.

• Power BI
• Power BI Desktop
• Working with CSV, TXT, and Excel Worksheets
• Connecting to Databases
• Merging, Grouping, Summarizing, and Calculating Data
• Reporting
• Power BI Online

Microsoft Power BI is a Software as a Service (SaaS) solution used for analyzing data and sharing insights. Power BI dashboards offer a comprehensive 360-degree view of key metrics in a single location, with real-time updates and accessibility across all devices.

This instructor-led live training, available online or onsite, targets business managers, analysts, report developers, and team leads who want to design effective Power BI dashboards.

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

• Create visually appealing and efficient dashboards by adhering to essential design principles.
• Select appropriate chart types based on the nature of the data being displayed.

Course Format

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

Customization Options

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

In this instructor-led, live training in Belgrade (onsite or remote), participants will learn 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 Belgrade (online or onsite) targets data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code.

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

• Set up the necessary development environment to start creating data visualizations with Python.
• Understand the data visualization core concepts, use cases, and tools.
• Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
• Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
• Know the best practices and techniques for presenting and interpreting data.

This instructor-led, live training in Belgrade (online or onsite) is aimed at data analysts and web developers who wish 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 Belgrade (online or on-site), participants will learn how to begin 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.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical application.
• Hands-on implementation in a live-lab setting.

Customization Options

• To arrange a customized training session for this course, please contact us directly.

Tableau is a leading business intelligence and data visualization tool. Python, a popular programming language, supports a broad range of statistical and machine learning techniques. By leveraging Tableau's powerful visualization capabilities alongside Python's machine learning strengths, developers can swiftly create advanced data analytics solutions tailored to various business needs.

Through this instructor-led live training, participants will discover how to effectively merge Tableau and Python for sophisticated analytics. The integration will be facilitated via the TabPy API.

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

• Integrate Tableau with Python using the TabPy API
• Analyze complex business scenarios with minimal Python code through the combined power of Tableau and Python

Audience

• Developers
• Data scientists

Format of the course

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

This course caters to learners with no prior experience in Tableau or those needing a refresher. It walks you through the necessary steps to build your first visualization from scratch. You will also learn to apply core design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with a broader audience.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level data professionals who intend to use Tableau to generate advanced visualizations and dashboards for data-driven decision-making.

By the conclusion of this training, participants will be able to: construct advanced charts, utilize calculated fields and parameters, design interactive dashboards, and effectively disseminate insights.

This instructor-led live training in Belgrade (available online or onsite) targets 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 Belgrade (online or onsite) is designed for engineers, researchers, and data analysts who aim to utilize TIBCO Statistica features to build analytic workflows and models.

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

• Install and navigate the TIBCO Statistica program to construct and manage data analysis projects.
• Comprehend basic statistics to analyze data and generate valuable insights for business operations.
• Explore advanced topics related to handling big data and implementing machine learning using TIBCO Statistica.

Target Audience

Course Format

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

In this instructor-led live session, attendees will discover how to manipulate and visualize data using the tools provided within the Tidyverse.

The Tidyverse comprises a suite of flexible R packages designed for cleaning, processing, modeling, and visualizing data. Key packages included are ggplot2, dplyr, tidyr, readr, purrr, and tibble.

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

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

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

This engaging 4-day course is designed for those new to Tableau. Participants will become familiar with all Tableau features and learn how to create and share data visualizations. The course will guide you through every step, including connecting to data, creating calculations, selecting charts, building dashboards, and publishing your work.

The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get familiar with Tableau interface.
• Connect to and work with your data.
• Use the Tableau features.
• Build an insightful visualization.
• Share your work with a broader audience.

Format of the Course:

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course.