Data Visualization Training in Kuala Lumpur

Grafana and Prometheus are widely recognised industry-standard tools designed for monitoring, visualising, and alerting on IT infrastructure and application metrics via real-time dashboards and seamless integrations.

This instructor-led live training (available online or on-site) targets intermediate to advanced IT professionals seeking to integrate Grafana with Prometheus alongside various other data sources, enabling the creation of actionable visualisations and alerts across distributed systems.

Upon completion of this training, participants will be able 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 alerting mechanisms.
• Implement best practices for data modelling, performance tuning, and user access control.

Course Format

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

Course Customisation Options

• For tailored training arrangements for this course, please contact us to discuss.

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (online or onsite) targets intermediate-level system administrators and monitoring professionals who wish to leverage Grafana effectively 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 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 Kuala Lumpur (online or onsite) caters to advanced DevOps engineers and SREs looking to effectively manage and scale Prometheus and Grafana for large environments.

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

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

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (online or onsite) 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 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 Kuala Lumpur (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with 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 for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Kuala Lumpur (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 visualising cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimize 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 Kuala Lumpur (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:

• Grasp the purpose and significance 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 Kuala Lumpur (available online or onsite) is designed for beginner data scientists looking to develop skills in creating meaningful and visually compelling data visualizations.

Upon completing this training, participants will be equipped to:

• Configure and navigate the Google Colab environment for data visualization tasks.
• Generate a variety of plot types using Matplotlib.
• Apply Seaborn for sophisticated visualization strategies.
• Tailor plots to enhance presentation quality and clarity.
• Interpret and communicate data insights effectively through visual methods.

This instructor-led, live training in Kuala Lumpur (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.

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analysis, and visualization of log data aggregated from various sources.

This instructor-led live training, available either online or onsite, is designed for intermediate IT professionals aiming to enhance their ELK proficiency. Participants will learn to manage distributed log data, automate alerting systems, and construct sophisticated visualizations and dashboards.

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

• Set up advanced ingestion and parsing pipelines for diverse sources, including databases.
• Develop tailored Kibana dashboards catered to specific teams or operational use cases.
• Deploy email notifications and condition-triggered alerts.
• Leverage regular expressions to enhance the precision of log searches.
• Administer user roles and access permissions to ensure secure log management.
• Utilize the Elasticsearch REST API for seamless automation and system integration.

Format of the Course

• Engaging lectures paired with open discussion.
• Extensive exercises and practical practice sessions.
• Live-lab environment for hands-on implementation.

Course Customization Options

• For customized training tailored to this course, please reach out to us to make arrangements.

This instructor-led, live training in Kuala Lumpur (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 customize Grafana dashboards with different 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 Kuala Lumpur (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.

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 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 completing 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.
• Utilize statistical techniques to inform decisions and analyze trends.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Kuala Lumpur (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.

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.

Attendees who finish this training will acquire a practical, real-world grasp of Data Science, along with its associated technologies, methodologies, and tools.

The course provides ample opportunity for participants to apply their knowledge through practical exercises. Interactive group work and direct feedback from the instructor are key elements of the learning experience.

The programme begins by covering fundamental Data Science concepts before advancing to the specific tools and methodologies employed in the field.

Target Audience

• Software Developers
• Technical Analysts
• IT Consultants

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• For those interested in a customized training session for this course, please get in touch with us to arrange it.

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for data analysts who wish to construct analytic applications using Python with Plotly and Dash.

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

• Set up real-time interactive dashboards for streaming live-updating data.
• Create interactive dashboards using Python for data science solutions.
• Secure interactive dashboards with advanced authentication methods.

Upon completing this training, participants will be equipped to:

In this instructor-led live training conducted in Kuala Lumpur, participants will learn to develop responsive, web-based data-driven visualizations that function seamlessly across various devices.

• Utilise D3 to create interactive graphics, information dashboards, infographics, and maps.
• Manage HTML using jQuery-style selections.
• Manipulate the DOM by selecting elements and binding them to data.
• Export SVG for inclusion in print publications.

This course is designed for engineers and decision-makers involved in data mining and knowledge discovery.

Participants will learn how to create impactful plots and present data in ways that resonate with decision-makers, helping them uncover and understand hidden insights.

In this instructor-led, live training in Kuala Lumpur, participants will acquire the skills, strategies, tools, and methodologies required to visualize and present data for diverse audiences. Real-world case studies are examined and discussed to illustrate how data visualization solutions are effectively applied to extract meaning from data and address critical business questions.

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

• Compose reports with engaging titles, subtitles, and annotations by 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 suitable chart types for a given dataset, moving beyond standard pie and bar charts.
• Quickly and efficiently identify and analyze the most valuable and relevant data points.
• Choose the optimal file formats to incorporate into reports, such as graphs, infographics, references, and GIFs.
• Develop effective layouts for presenting time series data, part-to-whole relationships, geographic patterns, and nested data.
• Utilize effective color-coding to represent qualitative and text-based data, including sentiment analysis, timelines, calendars, and diagrams.
• Apply the most appropriate tools for the task, such as Excel, R, Tableau, and mapping software.
• Prepare datasets effectively for visualization.

This course explores human perception and demonstrates how to harness it to deliver optimal insights. You will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusivity. Additionally, you will grasp the similarities and distinctions between exploratory and explanatory analysis. You will learn about the appropriate use of charts and how to select the most suitable option for your needs. By the end of the course, you will know how to apply design principles to visualizations created using Tableau software.

This instructor-led, live training in Kuala Lumpur is aimed at system administrators who wish 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 begins with a discussion of ELK architecture and functionality, then transitions to live lab implementation and practice. Hands-on exercises constitute a vital component of the training, providing participants with the opportunity to apply their knowledge while receiving feedback on their progress.

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (onsite or remote) is aimed at data analysts who wish to use 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.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with 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 training introduces Kibana to users of Elasticsearch.

Kibana is an open-source analytics and visualization 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 visualize your data in 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 individuals seeking an alternative to the commercial MATLAB software. Over three days, participants will gain comprehensive knowledge on navigating the environment and utilizing the Octave package for data analysis and engineering calculations. The training caters to both beginners and those who already have some familiarity with the program and wish to systematize their understanding and enhance their skills. While prior knowledge of other programming languages is not mandatory, it can significantly ease the learning process. The course demonstrates practical applications through numerous real-world examples.

Master the techniques of obtaining and transforming data to build engaging, interactive dashboards.

Power BI stands as one of the leading Data Visualization and Business Intelligence platforms. It encompasses a suite of data connectors, applications, and software services designed to retrieve data from various sources, transform it for analysis, and generate visually compelling reports.

Additionally, Power BI enables you to publish these insights for your organization, allowing access across diverse devices such as mobile phones and tablets. In this comprehensive Power BI Tutorial, we guide you through a step-by-step methodology for connecting to multiple data sources, performing essential data transformations, and crafting detailed reports featuring charts, tables, matrices, maps, and more.

Microsoft Power BI converts your organizational data into compelling visualizations that enable fresh perspectives on how you analyze and structure information, allowing you to concentrate on the key metrics driving your objectives. This program explores both Power BI Online and Power BI Desktop.

Target Audience:

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

Upon Course Completion

After finishing this course, participants will possess a fundamental grasp of the topics listed below, along with the practical skills to apply these concepts effectively.

• Power BI
• Power BI Desktop
• Handling CSV, TXT, and Excel Worksheets
• Establishing Connections to Databases
• Merging, Grouping, Summarizing, and Calculating Data
• Reporting
• Power BI Online

Microsoft Power BI is a Software as a Service (SaaS) suite designed for data analysis and insight sharing. Power BI dashboards consolidate critical metrics into a single, real-time view that is accessible across all devices.

This instructor-led training (available online or onsite) is tailored for business managers, analysts, report developers, and team leads aiming to create effective Power BI dashboards.

Upon completion, participants will be able to:

• Create visually appealing and efficient dashboards by adhering to best practices.
• Select appropriate chart types based on the nature of the data being presented.

Course Format

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

Customization Options

• For customized training arrangements, please contact us.

In this instructor-led live training in Kuala Lumpur (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 able to:

• Create visually engaging dashboards that deliver valuable data insights.
• Obtain and integrate data from multiple sources.
• Build and share visualisations with team members.
• Edit data using Power BI Desktop.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for data analysts and data scientists who want to build interactive data visualizations directly from code using Python.

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 Kuala Lumpur (online or onsite) is aimed at 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 Kuala Lumpur (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 powerful business intelligence and data visualization tool. Python, a widely adopted programming language, offers extensive support for numerous statistical and machine learning techniques. By leveraging Tableau's robust data visualization capabilities alongside Python's machine learning functionalities, developers can swiftly create sophisticated data analytics applications tailored to various business needs.

In this instructor-led live training, participants will learn how to effectively integrate Tableau and Python to perform advanced analytics. The integration between Tableau and Python will be facilitated through the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Analyze complex business scenarios using the combined power of Tableau and Python with minimal Python code

Audience

• Developers
• Data scientists

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

This course is tailored for learners who have never used Tableau before or those seeking a refresher. It will guide you through the necessary steps to create your first visualization from the ground up. You will also learn how to apply essential design principles to your Tableau visualizations. 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 Kuala Lumpur (online or onsite) is designed for intermediate-level data professionals who wish to use Tableau to create advanced visualizations and dashboards for data-driven decision-making.

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

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at 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 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 Kuala Lumpur (online or onsite) is tailored for engineers, researchers, and data analysts who wish to utilise TIBCO Statistica features to develop analytic workflows and models.

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

• Install and navigate the TIBCO Statistica software to build and manage data analysis projects.
• Understand statistical fundamentals to analyse data and generate valuable business insights.
• Explore advanced topics to handle big data and machine learning using TIBCO Statistica.

Audience

Format of the course

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

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

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing 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 visualization

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

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize 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 engaging 4-day course is designed for Tableau beginners. Throughout the session, you will become acquainted with Tableau’s full range of features and learn how to create and share data visualizations. The curriculum guides you through every step, including connecting to data, creating calculations, selecting the appropriate chart type, building dashboards, and publishing your work.

The course consists of topic-specific lectures followed by practical exercises. It concludes with a 30-minute knowledge 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 wider audience.

Course format:

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