Data Visualization Training in Tashkent

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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (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 Tashkent (online or onsite) is designed for IT professionals at beginner to intermediate levels who wish to gain the knowledge and practical skills necessary to excel in Grafana and GLPI administration.

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

• Create and customize Grafana dashboards with various 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 Tashkent (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 Tashkent (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 Tashkent (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.

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

In this instructor-led live training held in Tashkent, participants will learn to create responsive, web-based data-driven visualizations that run effectively on various devices.

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

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.

In this instructor-led, live training in Tashkent, participants will acquire the skills, strategies, tools, and methodologies required to visualize and report data effectively for diverse audiences. Through the analysis and discussion of case studies, attendees will see how data visualization solutions are applied 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 with compelling titles, subtitles, and annotations, utilizing appropriate highlighting, alignment, and color schemes to enhance readability and user experience.
• Design charts that align with the specific information needs and interests of the target audience.
• Select the most effective chart types for specific datasets, moving beyond standard pie and bar charts.
• Quickly and efficiently identify and analyze high-value, relevant data.
• Choose the optimal file formats to incorporate into reports, including graphs, infographics, references, and GIFs.
• Develop effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
• Utilize effective color-coding techniques to present qualitative and text-based data, such as sentiment analysis, timelines, calendars, and diagrams.
• Apply the most appropriate tools for the task, such as Excel, R, Tableau, and mapping software.
• Prepare datasets specifically for visualization purposes.

This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles in visualizations created using Tableau software.

This instructor-led, live training in Tashkent 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 Tashkent (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 Tashkent (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.

This instructor-led live training in Tashkent (online or onsite) targets web developers and DevOps engineers who wish to visualize and monitor data using 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 introduces Kibana to users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to integrate with Elasticsearch. Through Kibana, users can search, view, and interact with data stored in Elasticsearch indices. The platform allows for easy advanced data analysis and the visualization of information using various charts, tables, and maps.

Kibana simplifies the understanding of large data volumes. Its straightforward, browser-based interface enables the rapid creation and sharing of dynamic dashboards that display real-time updates to Elasticsearch queries.

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.

Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI Online and Power BI Desktop.

Audience:

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

At Course Completion

Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilise and implement the concepts learned.

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

Microsoft Power BI is a Software as a Service (SaaS) platform that enables users to analyze data and share valuable insights. Its dashboards offer a comprehensive, real-time overview of key metrics, accessible across all devices.

This instructor-led live training, available either online or on-site, is designed for business managers, analysts, report developers, and team leaders who aim to create effective Power BI dashboards.

Upon completing this training, participants will be capable of:

• Creating visually appealing and high-performing dashboards by adhering to essential design principles.
• Selecting the most suitable chart types based on the specific data being presented.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical sessions.
• Real-world implementation within a live-lab environment.

Customization Options

• For tailored training arrangements, please reach out to us.

In this instructor-led, live training in Tashkent (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 Tashkent (online or onsite) is designed for data analysts and data scientists who wish to use Python to build interactive data visualizations directly from 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 Tashkent (online or onsite) is designed for data analysts and web developers who aim to develop associative models in Qlik Sense.

Upon completing this training, participants will be able to:

• Implement Qlik Sense in data science projects.
• Use and navigate the Qlik Sense interface effectively.
• Foster a data-literate workforce with AI capabilities.
• Establish a data-driven enterprise using Qlik Sense.

In this instructor-led, live training in Tashkent (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 using QlikView scripting.
• Build data models with QlikView.

Course Format

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

Customization Options

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

Tableau is a business intelligence and data visualisation tool. Python is a widely used programming language that supports a broad range of statistical and machine learning techniques. When combined, Tableau's data visualisation capabilities and Python's machine learning functions enable developers to rapidly build advanced data analytics applications for various business scenarios.

In this instructor-led, live training, participants will learn how to integrate Tableau and Python to perform advanced analytics. The integration will be carried out via the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Leverage the combined capabilities of Tableau and Python to analyse complex business scenarios with just a few lines of Python code

Target Audience

• Developers
• Data Scientists

Course Format

• A blend of lecture, discussion, exercises, and extensive hands-on practice

Designed for learners new to Tableau or those seeking a refresher, this course guides you through creating your first visualization from the ground up. You will learn to apply key design principles to your Tableau projects. By the end, you will be able to create and share your insights with a wider audience.

This instructor-led live training in Tashkent (online or onsite) targets intermediate-level data professionals aiming to utilize Tableau for creating advanced visualizations and dashboards to drive data-informed decisions.

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

This instructor-led, live training in Tashkent (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 instructor-led, live training in Tashkent (online or on-site) is designed for engineers, researchers, and data analysts who want to leverage TIBCO Statistica features to build analytical workflows and models.

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

• Install and navigate the TIBCO Statistica application to create and manage data analysis projects.
• Apply fundamental statistical concepts to analyze data and derive actionable business insights.
• Explore advanced topics including big data and machine learning using TIBCO Statistica.

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.