Data Visualization Training in Cape Town

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 Cape Town (online or onsite) is aimed at 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 Cape Town (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 Cape Town (online or onsite) is designed for advanced-level DevOps engineers and Site Reliability Engineers (SREs) who wish to effectively manage and scale Prometheus and Grafana for large environments.

Upon completion 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 to handle large datasets and complex visualisations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Cape Town (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 Cape Town (online or on-site) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish 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 visualise 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, delivered in Cape Town (either online or onsite), targets advanced-level DevOps and SRE professionals seeking to strengthen their alerting and automation expertise with Grafana and Prometheus.

By the conclusion 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 Cape Town (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 Cape Town (online or on-site) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimise their monitoring practices 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 course covers the essential methods and best practices aligned with business and technical needs for modelling, visualising, and analysing data using Power BI. It demonstrates how to access and process data from various sources, including both relational and non-relational systems. Participants will also learn how to implement robust security standards and policies across the Power BI ecosystem, covering datasets and groups, as well as how to manage and deploy reports and dashboards for effective sharing and content distribution.

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

Upon completing this training, participants will be able to:

• Comprehend the purpose and significance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for fundamental 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 Cape Town (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualisations.

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

• Set up and navigate Google Colab for data visualisation.
• Create various types of plots using Matplotlib.
• Utilise Seaborn for advanced visualisation techniques.
• Customise plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training session Cape Town (online or on-site) is tailored for 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) serves as a robust platform for the real-time search, analysis, and visualisation of log data drawn from various sources.

This instructor-led live training, available either online or on-site, is designed for IT professionals with intermediate experience who aim to deepen their expertise in the ELK ecosystem. The course focuses on managing distributed log data, automating alert mechanisms, and developing advanced visualisations and dashboards.

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

• Configure sophisticated ingestion and parsing workflows for multiple data sources, including databases.
• Design tailored Kibana dashboards suited to specific teams or use cases.
• Set up email notifications and condition-based alerts.
• Employ regular expressions to enhance the precision of log searches.
• Manage user roles and access permissions to ensure secure logging environments.
• Utilise the Elasticsearch REST API for automation and seamless integration.

Course Format

• Interactive lectures accompanied by discussion.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customisation Options

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

This instructor-led, live training in Cape Town (online or onsite) targets 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.

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, cleansing, transforming, and modelling data to uncover useful information, draw conclusions, and support decision-making.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 Cape Town (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 Cape Town (online or on-site) is aimed at data analysts who wish 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 examines the various methods and best practices that align with business and technical requirements for modelling, visualising, and analysing data using Power BI. The course also demonstrates how to access and process data from a wide range of sources, encompassing both relational and non-relational data. Furthermore, it explores how to implement robust security standards and policies across the Power BI ecosystem, including datasets and groups. The course also discusses the management and deployment of reports and dashboards for sharing and content distribution. Finally, this course shows how to build paginated reports within the Power BI service and publish them to a workspace for integration with Power BI.

This instructor-led, live training in Cape Town is tailored for system administrators aiming to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 delegates is required for the course to take place.

The training commences with a discussion on ELK architecture and functionality, followed by live lab implementation and practice. Hands-on exercises are a crucial component, giving participants the opportunity to put their knowledge into practice while receiving feedback on their progress.

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

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

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

Master the techniques to Get & Transform Data for the creation of Interactive Dashboards

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

Furthermore, Power BI enables you to publish these reports within your organization, allowing access via mobile devices, tablets, and other platforms. This Power BI Tutorial provides a step-by-step guide to connecting with multiple data sources, performing data transformations, and building reports such as charts, tables, matrices, maps, and more.

During this instructor-led live training in Cape Town (onsite or remote), participants will learn how to utilise Microsoft Power BI to analyse and visualise data through a series of sample datasets.

By the conclusion 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 visualisations with team members.
• Adjust data with Power BI Desktop.

This instructor-led, live training in Cape Town (online or onsite) is tailored for developers who wish to leverage BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

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

• Configuring the necessary development environment to commence development.
• Constructing distributed, stateful, rule-based event-processing systems.
• Managing business events data and executing appropriate business rules.
• Decreasing event response times in large-scale, data-driven applications.
• Developing applications for fraud detection, track-and-trace, real-time customer offer generation, and other use cases.

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

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

Course milestones:

• Get comfortable with the Tableau interface.
• Connect to and work with your data.
• Utilise Tableau features effectively.
• Build insightful visualisations.
• Share your work with a wider 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