Data Visualization Training in Nepal

This instructor-led live training in Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (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.

This instructor-led, live training in Nepal (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.

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

In this instructor-led live training at Nepal (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 Nepal (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.