Online Data Visualization Training in Uzbekistan

Grafana and Prometheus are widely recognized as industry-standard tools for monitoring, visualizing, and alerting on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced IT professionals who aim to integrate Grafana with Prometheus and various data sources, while building 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 environments.
• Integrate multiple data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards using variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

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

Course Customization Options

• To request a customized training session, please contact us for arrangements.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level Grafana users who want to build interactive dashboards featuring drill-down capabilities, 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 Uzbekistan (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 Uzbekistan (online or onsite) is designed for advanced-level DevOps engineers and SREs who aim to effectively manage and scale Prometheus and Grafana in large environments.

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

• Design Prometheus and Grafana for large-scale and distributed environments.
• Enhance Prometheus performance for high-traffic systems.
• Configure Grafana for handling large datasets and complex visualizations.
• Apply advanced troubleshooting and scalability strategies.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers who aim to enhance their monitoring expertise 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 Uzbekistan (online or onsite) is tailored for 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:

• Develop and manage advanced alerting rules in Prometheus.
• Connect Prometheus Alertmanager with external tools using webhooks.
• Automate alert responses to resolve issues more quickly.
• Utilize Grafana to visualize and manage alerts efficiently.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level cloud and DevOps engineers aiming to enhance cloud observability using Grafana and Prometheus.

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

• Understand the advantages of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus to monitor cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Utilize cloud-native tools and integrations for scalable monitoring.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Master best practices for designing effective dashboards.
• Develop and configure advanced Grafana dashboard components.
• Utilize Grafana templating to create dynamic and reusable dashboards.
• Implement alerting systems to boost operational awareness.

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 systems. The course also explores implementing appropriate security standards and policies across the Power BI ecosystem, covering datasets and groups. Additionally, it discusses managing and deploying reports and dashboards for effective sharing and content distribution.

This instructor-led, live training in Uzbekistan (online or onsite) targets 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 Uzbekistan (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 Uzbekistan (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners aiming to learn the fundamentals 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 in 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 powerful platform designed for real-time searching, analysis, and visualization of log data from multiple sources.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level IT professionals seeking to deepen their ELK expertise in managing distributed log data, automating alerts, and developing advanced visualizations and dashboards.

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

• Configure advanced ingestion and parsing workflows from diverse sources, including databases.
• Develop custom Kibana dashboards tailored to specific teams or use cases.
• Implement email notifications and condition-based alerting mechanisms.
• Leverage regular expressions to enhance search precision within log data.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration purposes.

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical sessions.
• Live implementation in a dedicated lab environment.

Course Customization Options

• To request a customized version of this training, please contact us to arrange a tailored session.

This instructor-led live training in Uzbekistan (available online or on-site) is designed for intermediate-level administrators and developers who want to deepen their knowledge of Elasticsearch administration. Key areas include advanced dashboard development in Kibana and effective system maintenance.

By the end of this training, participants 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 inspecting, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and support decision-making processes.

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

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

• Creating and managing databases.
• Applying regression, classification, and fundamental machine learning models.
• Developing dynamic reports and dashboards using Excel and Power BI.
• Utilizing statistical techniques to inform decisions and analyze trends.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is aimed at 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 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.

About This Course

This course explores various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. Participants will learn how to access and process data from a wide range of sources, including both relational and non-relational datasets. The curriculum also covers the implementation of robust security standards and policies across the Power BI ecosystem, encompassing datasets and groups. Additionally, the course details strategies for managing and deploying reports and dashboards to facilitate effective sharing and content distribution.

Audience Profile

This course is designed for data professionals and business intelligence specialists seeking to master accurate data analysis techniques using Power BI. It is also tailored for individuals responsible for developing reports that visualize data from platform technologies deployed both in the cloud and on-premises.

Skills gained

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

This course covers various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It also demonstrates how to access and process data from diverse sources, including both relational and non-relational data. The course explores implementing proper security standards and policies across the Power BI ecosystem, encompassing datasets and groups. Additionally, it discusses managing and deploying reports and dashboards for effective 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 inclusion in Power BI.

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

The session starts with an overview of ELK architecture and functionality, then transitions to live lab implementation and practice. Hands-on exercises are a vital part of the training, enabling participants to apply their knowledge while getting feedback on their progress.

This instructor-led, live training in Uzbekistan (onsite or remote) is designed for data analysts who wish to use Grafana for monitoring and visualising data.

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

• Set up the necessary development environment to begin creating visualisations in Grafana.
• Configure Grafana for high availability.
• Customise panels and dashboards with data.
• Configure a reverse proxy to ensure fast loading speeds.

Discover how to acquire and transform data to build interactive dashboards.

Power BI stands out as a leading data visualization and business intelligence tool. It comprises a suite of data connectors, applications, and software services designed to gather data from various sources, transform it, and generate visually appealing reports.

Additionally, Power BI enables you to publish reports for your organization, allowing access across mobile devices, tablets, and more. In this Power BI tutorial, we guide you through a step-by-step process for connecting to diverse data sources, performing data transformations, and creating visualizations such as charts, tables, matrices, and maps.

In this instructor-led, live training in Uzbekistan (onsite or remote), participants will learn how to use Microsoft Power BI to analyse and visualise data through a series of sample data sets.

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

• Create visually compelling dashboards that deliver valuable data insights.
• Obtain and integrate data from multiple sources.
• Build and share visualisations with team members.
• Adjust and transform data using Power BI Desktop.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for developers who want to utilize 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 intensive four-day course is designed for individuals new to Tableau. Throughout the program, you will explore the full range of Tableau’s capabilities and master the techniques for creating and sharing data visualizations. The curriculum guides you through every essential stage, from connecting to data sources and building calculations to selecting appropriate chart types, constructing dashboards, and publishing your final results.

The course structure consists of topic-specific lectures followed by practical hands-on exercises. It concludes with a 30-minute knowledge assessment and a 60-minute project assignment.

Key Learning Milestones:

• Gain proficiency in the Tableau interface.
• Connect to and manage your data effectively.
• Utilize core Tableau features.
• Create meaningful and insightful visualizations.
• Share your insights with a wider audience.

Course Format:

• Interactive lectures and group discussions.
• Extensive exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.
• Final knowledge test and practical project.