Data Visualization Training in Bhutan

Grafana and Prometheus serve as industry-standard solutions for monitoring, visualizing, and alerting on IT infrastructure and application metrics via real-time dashboards and robust integrations.

This instructor-led training, available either online or onsite, targets intermediate to advanced IT professionals seeking to integrate Grafana with Prometheus and diverse data sources. The course focuses on constructing actionable visualizations and alerts across distributed systems.

Upon completing this training, participants will be equipped to:

• Install and configure Grafana and Prometheus within production-ready environments.
• Integrate multiple data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Develop advanced dashboards featuring variables, templating, transformations, and alert configurations.
• Implement best practices for data modeling, performance optimization, and user access control.

Course Delivery Format

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

Customization Options for the Course

• For tailored training on this subject, please contact us to make the necessary arrangements.

This instructor-led live training in Bhutan (online or on-site) is designed for 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 Bhutan (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who want to effectively leverage 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 Bhutan (online or onsite) is aimed at advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana for large environments effectively.

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

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

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

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

• Configure Prometheus and Grafana for Kubernetes monitoring.
• Track key metrics for pods, nodes, and services.
• Build dynamic dashboards to visualize cluster health and performance.
• Deploy alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions within Kubernetes environments.

This instructor-led, live training in Bhutan (online or onsite) is designed for advanced-level DevOps and SRE professionals aiming to enhance their alerting and automation skills using Grafana and Prometheus.

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

• Create and manage sophisticated alerting rules in Prometheus.
• Connect Prometheus Alertmanager with external tools via webhooks.
• Automate alert responses to expedite issue resolution.
• Leverage Grafana to effectively visualize and oversee alerts.

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

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

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

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

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

• Grasp the purpose and significance of monitoring within IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualise system performance.
• Apply best practices for monitoring system availability and performance.

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

Elastic Stack (ELK) is a robust platform designed for real-time searching, analysing, and visualising log data from diverse sources.

This instructor-led live training, available online or onsite, targets intermediate IT professionals keen on expanding their ELK expertise to manage distributed log data, automate alerting, and develop sophisticated visualizations and dashboards.

Upon completing this training, participants will be equipped to:

• Set up advanced ingestion and parsing workflows from various sources, including databases.
• Build tailored Kibana dashboards for specific teams or use cases.
• Deploy email notifications and condition-based alerts.
• Leverage regular expressions to enhance search accuracy within logs.
• Administer user roles and access permissions to ensure secure log environments.
• Engage with the Elasticsearch REST API for automation and seamless integration.

Course Format

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

Course Customization Options

• For tailored training on this course, please get in touch to make arrangements.

This instructor-led live training in Bhutan (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 customise Grafana dashboards with various visualisations.
• Implement alerting and notifications for monitoring.
• Administer user accounts, teams, and permissions.
• Effectively manage IT assets, including hardware and software inventory.
• Implement a helpdesk system for user support and ticket management.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

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

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

Data Analysis involves the systematic process of inspecting, cleaning, transforming, and modeling data to extract valuable insights, draw conclusions, and support strategic decision-making.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Ample 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 Bhutan (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.

Upon completing this training, participants will be able to:

• Develop a deep understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to improve data visualization.
• Employ Grafana Query Language to execute complex queries.
• Acquire best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led live training in Bhutan (online or onsite) is designed for data analysts who want to build analytical 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.

This course explores the intricacies of human perception and demonstrates how to harness it for delivering impactful insights. You will become acquainted with design theory, encompassing Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will gain clarity on the distinctions and parallels between exploratory and explanatory analysis. You will learn how to effectively utilize various chart types and determine the most appropriate one for your specific needs. By the conclusion of the course, you will be equipped to apply design principles to visualizations created within the Tableau software.

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

The training commences with a discussion on ELK architecture and functionality, before transitioning to live lab implementation and practice. Hands-on exercises are a vital part of the training, offering participants the opportunity to apply their knowledge while getting feedback on their progress.

This instructor-led, live training is Bhutan (available onsite or remotely) and is designed for data analysts who wish to leverage 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.

Discover how to Extract and Transform Data to build engaging interactive dashboards.

Power BI stands as one of the most widely adopted Data Visualization and Business Intelligence tools. It comprises a suite of data connectors, applications, and software services designed to fetch data from various sources, transform it effectively, and generate visually appealing reports.

Moreover, Power BI enables you to publish these insights for your organization, allowing access across devices such as mobiles and tablets. This tutorial provides a comprehensive, step-by-step guide on connecting to diverse data sources, performing data transformations, and crafting reports including charts, tables, matrices, maps, and more.

In this instructor-led live training at Bhutan (onsite or remote), participants will learn how to utilise Microsoft Power BI to analyse and visualise data using a series of sample datasets.

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

• Develop visually engaging dashboards that deliver valuable data insights.
• Extract and integrate data from various sources.
• Create and share visualisations with team members.
• Manipulate data using Power BI Desktop.

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

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

• Configure the necessary development environment to begin creating data visualizations with Python.
• Grasp the core concepts, use cases, and tools related to data visualization.
• Explore the various Python libraries available (Matplotlib, Seaborn, Bokeh, and Folium).
• Learn how to generate line plots, statistical graphs, geo-spatial, and other complex data visualizations using Python.
• Understand the best practices and techniques for presenting and interpreting data.

Course Structure

• Engaging lectures paired with group discussions.
• Ample opportunities for exercises and practical application.
• Real-world implementation within a live laboratory setting.

Options for Customizing the Course

• To arrange personalized training for this subject, please get in touch with us.

Designed for learners who have never used Tableau before or those needing a refresher, this course guides you through the essential steps to create your first visualization from scratch. You will also learn how to apply fundamental design principles to your Tableau visualizations. By the conclusion of the course, you will be able to create and share your insights with a wider audience.

This instructor-led live training in Bhutan (available online or onsite) is targeted at developers who wish 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 Bhutan (online or onsite) is targeted at engineers, researchers, and data analysts keen on utilising TIBCO Statistica features to create analytic workflows and models.

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

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

This engaging 4-day course is designed for Tableau beginners. Participants will become proficient in all Tableau features and learn how to create and share data visualizations with others. The course will guide you through every step, including connecting to data, creating calculations, selecting the appropriate chart, building dashboards, and publishing your work.

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

Course milestones:

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

Course Format:

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