Data Visualization Training in Christchurch

Grafana and Prometheus are industry-standard tools used to monitor, visualise, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or on-site) is designed for intermediate to advanced IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualisations 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 modelling, performance tuning, and user access control.

Course Format

• Interactive lecture and discussion.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level Grafana users who want to build interactive, drill-down dashboards featuring 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 on a graph bar
• Implement visual drill-downs that update in-place (without opening 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 Christchurch (online or on-site) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana to set up monitoring solutions, manage dashboards, and create 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 customise 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 Christchurch (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 Christchurch (online or on-site) 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 visualise custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

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

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics across 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 within Kubernetes environments.

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

By the end 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 to resolve issues more quickly.
• Use Grafana to effectively visualise and manage alerts.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level cloud and DevOps engineers who wish to enhance cloud observability using 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 to visualise cloud service metrics.
• Leverage cloud-native tools and integrations to support monitoring scalability.

This instructor-led, live training in Christchurch (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 instructor-led, live training in Christchurch (online or onsite) is aimed at 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 visualise system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Christchurch (online or on-site) 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 in Christchurch (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 visualise data using Prometheus.

The Elastic Stack (ELK) is a powerful platform for searching, analysing, and visualising log data in real-time from multiple sources.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals who wish to deepen their ELK expertise in managing distributed log data, automating alerts, and creating advanced visualisations and dashboards.

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

• Configure advanced ingestion and parsing flows from multiple sources, including databases.
• Create customised Kibana dashboards tailored to different teams or use cases.
• Implement email notifications and condition-based alerts.
• Use regular expressions to improve search precision in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills needed to excel in administering Grafana and GLPI.

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

• Create and customise Grafana dashboards with a range of visualisations.
• Implement alerting and notifications for effective monitoring.
• Administer user accounts, teams, and permissions.
• Manage IT assets efficiently, including hardware and software inventory.
• Implement a helpdesk system for user support and ticket management.

This instructor-led, live training in Christchurch (online or onsite) is aimed at 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 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 visualisation types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimisation, and troubleshooting.

Data analysis is the process of inspecting, cleaning, transforming, and modelling data to uncover useful insights, draw meaningful conclusions, and support informed decision-making.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who wish to effectively manage, analyse, and visualise data 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 fundamental machine learning models.
• Develop dynamic reports and dashboards using Excel and Power BI.
• Use statistical techniques to inform decisions and analyse trends.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level data analysts who wish to learn and leverage the advanced features and components of Grafana for data visualisation and analysis.

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

• Gain a deep understanding of advanced Grafana concepts and components.
• Use template variables and dynamic dashboards to enhance data visualisation.
• Apply the Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimising performance, and ensuring high availability.

Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science.

Audience

• Developers
• Technical analysts
• IT consultants

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led, live training in Christchurch (available online or on-site) is tailored for data analysts who wish to develop 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 to stream live, updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards using advanced authentication methods.

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

In this instructor-led, live training in Christchurch, participants will learn how to create web-based, data-driven visualisations that run responsively across multiple devices.

• Use D3 to create interactive graphics, information dashboards, infographics and maps.
• Control HTML with jQuery-like selections.
• Transform the DOM by selecting elements and binding them to data.
• Export SVG for use in print publications.

This course is intended for engineers and decision-makers working in data mining and knowledge discovery.

You will learn how to create effective plots and discover ways to present and represent your data in a manner that resonates with decision-makers, helping them uncover hidden insights.

In this instructor-led, live training in Christchurch, participants will gain the skills, strategies, tools, and approaches needed to visualise and report data effectively for diverse audiences. Through the analysis and discussion of real-world case studies, learners will explore how data visualisation solutions are applied to extract meaningful insights and address critical business questions.

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

• Produce reports with compelling titles, subtitles, and annotations, using appropriate highlighting, alignment, and colour schemes to enhance readability and user experience.
• Design charts that align with the audience's information needs and interests.
• Choose the most effective chart types for a given dataset, moving beyond conventional pie and bar charts.
• Identify and analyse the most valuable and relevant data quickly and efficiently.
• Select the most suitable file formats for inclusion in reports, such as graphs, infographics, references, GIFs, and more.
• Create effective layouts for presenting time series data, part-to-whole relationships, geographic patterns, and nested data structures.
• Apply colour-coding techniques to visualise qualitative and text-based data, including sentiment analysis, timelines, calendars, and diagrams.
• Utilise the most appropriate tools for the task at hand, such as Excel, R, Tableau, mapping software, and others.
• Prepare datasets for effective visualisation.

This course explores human perception and how to leverage it to deliver the most impactful insights. You will become familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusive design principles. You will also understand the similarities and differences between exploratory and explanatory analysis. Through this course, you will discover how to select and effectively use the right chart types for your data. By the end, you will be equipped to implement core design principles in visualisations created using Tableau software.

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

The course begins with an exploration of ELK architecture and functionality, followed by hands-on lab implementation and practical exercises. These interactive sessions form a core component of the training, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their progress.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner-level professionals seeking to master the fundamentals of R and learn how to work effectively with data.

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

• Understand the R programming environment and the RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarisation.
• Generate visualisations using both base R and ggplot2.
• Manage workspaces, scripts, and packages efficiently.

This instructor-led, live training in Christchurch (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 achieve fast loading speeds.

This instructor-led, live training in Christchurch (delivered either online or on-site) is designed for web developers and DevOps engineers who wish to visualise and monitor data using Grafana and Graphite.

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

• Aggregate and visualise metrics related to systems and applications.
• Create a StatsD client for collecting application metrics.
• Build informative and dynamic dashboards with Grafana.
• Gain insights from back-end performance data.

This training introduces Kibana to Elasticsearch users.

Kibana is an open-source analytics and visualisation platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualise your data using a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

This course is designed for anyone seeking a powerful alternative to the commercial MATLAB package. Over three days, participants gain comprehensive knowledge of navigating the Octave environment and leveraging it for data analysis and engineering calculations. The training caters to both beginners and those already familiar with the software who wish to systematise their knowledge and refine their skills. While prior experience with other programming languages is not required, it will significantly accelerate the learning process. Throughout the course, you will explore numerous practical examples demonstrating how to effectively utilise Octave in real-world scenarios.

Learn how to Get & Transform Data to Prepare Interactive Dashboards

Power BI is one of the most popular data visualisation tools and a key business intelligence platform. It is a collection of data connectors, applications, and software services used to retrieve data from various sources, transform it, and produce insightful, visually appealing reports.

Power BI also enables you to publish these reports across your organisation, allowing access via mobile devices, tablets, and more. In this Power BI tutorial, we will guide you through a step-by-step approach to connect to multiple data sources, perform data transformations, and create reports featuring charts, tables, matrices, maps, and other visual elements.

Microsoft Power BI transforms your organisation's data into rich visuals that foster new ways of thinking about and organising your data, enabling you to focus on what truly matters to achieving your goals. This course covers both Power BI Online and Power BI Desktop.

Audience:

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

At Course Completion

Upon completing this course, participants will have a foundational understanding of the topics below, along with the ability to apply 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 free Software as a Service (SaaS) suite for analysing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and accessible across all devices.

This instructor-led, live training (available online or on-site) is designed for business managers, business analysts, data analysts, report developers, and team leads who want to create effective and well-structured Power BI dashboards.

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

• Design visually appealing and efficient dashboards by following key design principles.
• Select the most appropriate charts based on the type of data being presented.

Course Format

• Interactive lectures and group discussions.
• Abundant exercises and hands-on practice.
• Practical implementation in a live lab environment.

Course Customisation Options

• To request a tailored version of this course, please contact us to arrange.

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

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

• Create visually compelling dashboards that deliver valuable insights from data.
• 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 Christchurch (online or on-site) is aimed at data analysts and data scientists who wish to use Python to build interactive data visualisations directly from the code.

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

• Set up the necessary development environment to start creating data visualisations with Python.
• Understand the core concepts, use cases, and tools of data visualisation.
• Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
• Learn how to create line plots, statistical graphs, geospatial visualisations, and other complex data visualisations with Python.
• Know the best practices and techniques for presenting and interpreting data.

This instructor-led, live training in Christchurch (available online or on-site) is designed for data analysts and web developers who wish to develop associative models in Qlik Sense.

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

• Apply Qlik Sense in data science.
• Use and navigate the Qlik Sense interface.
• Build a data-literate workforce with AI interaction.
• Create a data-driven enterprise with Qlik Sense.

In this instructor-led, live training in Christchurch (online or onsite), participants will learn how to start developing with QlikView.

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

• Install and configure QlikView.
• Transform data from various sources through QlikView scripting.
• Build data models with QlikView.

Tableau is a business intelligence and data visualisation tool. Python is a widely used programming language that provides support for a wide range of statistical and machine learning techniques. By combining Tableau's data visualisation capabilities with Python's machine learning functions, developers can rapidly build advanced data analytics applications tailored to various business use cases.

In this instructor-led, live training, participants will learn how to integrate Tableau and Python to perform advanced analytics. The integration between the two tools will be achieved 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 power of Tableau and Python to analyse complex business scenarios using only a few lines of Python code

Audience

• Developers
• Data scientists

Course format

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

This course is designed for learners who have never used Tableau before, or who may need a refresher. It will guide you through the steps necessary to create your first visualisation from the beginning. You will also learn how to apply essential design principles to your Tableau visualisations. By the end of the course, you will be able to create and share your insights with a broader audience.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level data professionals who wish to use Tableau to create advanced visualisations and dashboards for data-driven decision-making.

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

This instructor-led, live training in Christchurch (available online or onsite) is designed for developers who wish to use 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 begin development.
• Build distributed, stateful, rule-based event-processing systems.
• Manage business event data and execute appropriate business rules.
• Reduce event response times in large-scale, data-driven applications.
• Develop applications for fraud detection, track-and-trace, real-time customer offer generation, and more.

This instructor-led, live training in Christchurch (available online or on-site) is designed for engineers, researchers and data analysts who wish to leverage TIBCO Statistica's capabilities to build analytical workflows and predictive models.

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

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

Audience

Course Format

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

In this instructor-led, live training, participants will learn how to manipulate and visualise data using the tools included in the Tidyverse.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modelling, and visualising data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and data visualisation

• Part lecture, part discussion, exercises and heavy hands-on practice

• Perform data analysis and create appealing visualisations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarise data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

This is an engaging four-day course tailored for Tableau beginners. Throughout the course, you will become familiar with all of Tableau’s features and learn how to create and share data visualisations with others. The course will guide you through every step, including connecting to data, creating calculations, selecting appropriate charts, building dashboards, and publishing your work.

The course is structured into lectures focused on each topic, followed by practical exercises. It concludes with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get to know the Tableau interface.
• Connect to and work with your data.
• Explore and use Tableau's key features.
• Build insightful visualisations.
• Share your work with a wider audience.

Course Format:

• Interactive lectures and group discussions.
• Abundant hands-on exercises and practice opportunities.
• Live-lab implementation in a real-world environment.
• A knowledge test and a practical project at the end of the course.