Data Analysis Training in Kuala Lumpur

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) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

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.

Stratio is a unified, data-centric platform that consolidates big data management, artificial intelligence, and governance. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics tailored for enterprise settings.

This instructor-led live training, available online or on-site, is designed for intermediate data professionals looking to master the Rocket and Intelligence modules within Stratio using PySpark. Key areas of focus include looping structures, user-defined functions (UDFs), and implementing advanced data logic.

Upon completing this training, participants will be capable of:

• Effectively navigating and utilizing the Stratio platform through its Rocket and Intelligence modules.
• Applying PySpark for data ingestion, transformation, and analytical tasks.
• Employing loops and conditional logic to orchestrate data workflows and execute feature engineering.
• Developing and managing user-defined functions (UDFs) to enable reusable data operations within PySpark.

Course Format

• Engaging lectures accompanied by interactive discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange customized training for this course, please get in touch with us to discuss your specific requirements.

Data-informed decision-making involves incorporating pertinent data, evidence, and analytical insights into the decision-making process to enhance outcomes and accountability within the public sector.

This instructor-led live training, available online or on-site, is designed for public sector professionals who have limited or developing experience in leveraging data for decision-making. It targets those who design, evaluate, or manage government programs and wish to strengthen their ability to interpret, validate, and apply data to real-world challenges.

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

• Grasp the concept of being data-informed, distinguishing it from being purely data-driven or relying on intuition.
• Identify and evaluate data relevant to specific policy or service contexts.
• Formulate more effective questions for data analysts and interpret dashboards and reports proficiently.
• Utilize data to justify, refine, or defend decisions in public service environments.

Course Format

• Interactive lectures and discussions.
• Practical engagement with decision scenarios, datasets, and simulated policy briefs.
• Guided exercises centered on practical decision-making use cases.

Customization Options

• For tailored training based on your department's workflows or internal tools, please contact us to make arrangements.

This instructor-led live training in Kuala Lumpur (online or in-person) is designed for intermediate-level data professionals who want to apply time series forecasting techniques to real-world data using Google Colab.

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

• Grasping the core principles of time series analysis.
• Leveraging Google Colab to manipulate time series data.
• Employing ARIMA models to predict data trends.
• Utilizing Facebook’s Prophet library for versatile forecasting.
• Creating visualizations for time series data and forecast outcomes.

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.

Digital intelligence empowers you to comprehend and harness digital tools, data, and systems to make well-informed decisions that enhance public service delivery and governance.

This instructor-led live training, available both online and onsite, is designed for public sector professionals who have limited or emerging experience in digital intelligence. It targets those working with data, digital tools, or service performance metrics who wish to strengthen their ability to analyze, interpret, and apply information for better decision-making.

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

• Grasp the foundations of digital intelligence and its relevance to public sector work.
• Utilize digital tools to collect, visualize, and communicate actionable insights.
• Assess the digital maturity of their own team or department.
• Develop a roadmap for enhancing digital capacity and data-driven practices.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of digital tools and dashboard mockups.
• Guided exercises focused on real-world public service use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Storytelling with Data involves employing visual and narrative strategies to convert intricate datasets into clear, compelling narratives that inform and inspire action.

This instructor-led live training (available online or onsite) is designed for public sector professionals who work with data but have limited or informal training in data storytelling. It aims to help them enhance their ability to present data clearly and persuasively through narrative and visuals.

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

• Transform raw data into impactful visual stories.
• Use chart selection and layout to support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

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.

By completing this instructor-led, live training in Kuala Lumpur, participants will gain a practical, real-world understanding of Big Data and its associated technologies, methodologies, and tools.

Participants will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and instructor feedback form a vital component of the learning experience.

The course begins with an introduction to the fundamental concepts of Big Data, then progresses to the programming languages and methodologies used for Data Analysis. Finally, we explore the tools and infrastructure that facilitate Big Data storage, Distributed Processing, and Scalability.

ArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, delivering enhanced capabilities for geospatial data analysis, 3D modelling, automation, and enterprise collaboration.

This instructor-led live training (available online or onsite) is designed for intermediate-level GIS professionals looking to deepen their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.

Upon completing this training, participants will be able to:

• Utilise ArcGIS Pro Plus tools to visualise and analyse data effectively.
• Develop 2D and 3D maps incorporating advanced symbology and geoprocessing techniques.
• Automate workflows through ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

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 designed for advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

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

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim to tackle complex data analysis tasks more intuitively across diverse industries using Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Google Gemini AI.
• Link various data sources to Gemini AI.
• Investigate data through natural language queries.
• Identify data patterns and extract meaningful insights.
• Produce engaging data visualizations.
• Effectively communicate data-driven findings.

This instructor-led live training, conducted Kuala Lumpur (online or onsite), is tailored for data analysts and individuals interested in learning how to integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conduct data analysis using Python, R, and SQL.
• Derive actionable insights through data visualization with Tableau.
• Drive business operations with data-informed decision-making.

This instructor-led live training in Kuala Lumpur (online or onsite) is targeted at beginner-level IT support personnel who wish to deliver robust support for ArcGIS Enterprise, effectively addressing any anomalies or system failures.

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

• Grasp the architecture and components of ArcGIS Enterprise.
• Acquire the skills to install, configure, and manage ArcGIS Enterprise.
• Develop troubleshooting skills to resolve common issues.
• Gain proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master techniques for backup, recovery, and performance optimisation.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This live, instructor-led training in Kuala Lumpur (online or on-site) is geared towards beginner-level professionals eager to learn the essential concepts and tools of ArcGIS.

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

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

This instructor-led live training in Kuala Lumpur (online or onsite) targets beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in ArcGIS and QGIS environments.

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

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

Big Data and Advanced Analytics involves the application of sophisticated techniques and tools to analyse large, complex datasets for actionable insights and strategic decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level data professionals who wish to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

• Design and implement large-scale data processing pipelines for structured and unstructured data.
• Apply advanced machine learning and deep learning techniques to massive datasets.
• Leverage distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making systems.

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.

The aim of the course in Kuala Lumpur is to help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

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.

Insurance in the Digital Era offers a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led live training (available online or onsite) is designed for intermediate-level insurance professionals seeking to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

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

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and their impact on the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

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

Requirements Engineering (RE) is a vital discipline in software and systems development, focusing on identifying, documenting, and managing stakeholder needs and constraints to ensure project success.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals looking to deepen their understanding of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

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

• Understand and apply the key concepts and terminology defined by the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Use Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added on request.

R is a widely utilized, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides students with an introduction to the R programming language, encompassing its core fundamentals, library usage, and advanced concepts. Participants will explore advanced data analytics and graphing techniques utilizing real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Instructional lectures combined with practical, hands-on exercises

Data analytics plays an essential role in modern business operations. Throughout this course, we will concentrate on building practical, hands-on skills for effective data analysis. The primary objective is to empower participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for developers and administrators who wish to use OpenSearch to perform distributed search and data analytics within a unified and secure system.

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

• Configure the necessary development environment to begin building search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Understand the three migration methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Learn to index data, create data streams, execute queries, and streamline cross-cluster operations in OpenSearch.
• Explore and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, and Grafana) to enhance the search experience while maintaining cluster security.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This course aims to provide a comprehensive understanding of SQL usage across various database platforms (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and techniques for joining multiple tables within a database, participants will be equipped to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of IT systems leveraging relational databases.

This instructor-led live training session (available online or onsite) targets business analysts who wish to learn advanced Spotfire Analyst techniques for data analysis.

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

• Sharing visualizations with various team members.
• Implementing secure access controls based on roles and permissions.
• Developing visualizations, including map charts.
• Integrating statistical computing languages such as R with Spotfire.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

Data Analysis for Business Professionals is a practical, hands-on training programme designed to empower participants with the confidence to manage business data, extract meaningful insights, and facilitate improved decision-making. This instructor-led, live session (available online or onsite) targets beginner-to-intermediate business professionals who aim to leverage contemporary analytical techniques and tools to interpret data, recognise trends, and communicate findings effectively.

This instructor-led live training in Kuala Lumpur (online or on-site) is designed for data scientists, data analysts, and business analysts who wish to enhance their skills in cleaning and processing data effectively.

Upon completing this training, participants will be equipped to:

• Formulate a robust data cleaning strategy.
• Deploy practical tools for data cleaning.
• Achieve results with greater efficiency.
• Learn and apply best practices in data cleaning.

In the dynamic energy sector, merging electrical transient analysis with accurate geospatial data has become a strategic imperative. Currently, depending on disjointed data creates substantial operational risks. This 14-day intensive programme, hosted in Melbourne, aims to bridge the divide between electrical engineering and geospatial management.

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.

The KNIME Analytics Platform stands as a premier open-source solution for driving data-led innovation. It empowers you to uncover hidden value within your data, extract novel insights, or forecast future trends. Equipped with over 1,000 modules, hundreds of pre-built examples, a broad suite of integrated tools, and an extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.

This course offers an excellent pathway for beginners, advanced users, and seasoned KNIME experts to familiarize themselves with the platform, enhance their proficiency, and learn how to generate clear, detailed reports using KNIME workflows.

Delivered by an instructor, this live training (available online or on-site) is designed for data professionals aiming to leverage KNIME to address complex business requirements.

The programme is specifically tailored for individuals who may not have programming expertise but wish to utilise cutting-edge tools to execute analytics scenarios.

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

• Installing and configuring KNIME.
• Developing Data Science scenarios.
• Training, testing, and validating models.
• Implementing the end-to-end data science model value chain.

Course Format

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

Customisation Options

• For personalised training or further details on this programme, please contact us to make arrangements.

The "KNIME Analytics Platform" course offers a comprehensive overview of this free data analysis platform. The programme covers an introduction to data processing and analysis, installation and configuration of KNIME, workflow creation, business modelling methodology, and data modelling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualisation, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion includes reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Kuala Lumpur (online or onsite) is aimed at data scientists who wish to programme in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data-driven decisions for operations.
• Implement end-to-end data science projects.

This instructor-led, online live training is designed for advanced learners who wish to develop skills in managing large-scale spatial databases using PostGIS and QGIS.

Course Format

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

Customization Options

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

As your delegates prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic discipline that studies these systems, which forms a significant domain within the broader field of geoinformatics.

QGIS serves as open-source GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as point, line, or polygon features. The software accommodates various raster image formats and allows for image georeferencing. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD operating systems.

In the initial phase, this program introduces the QGIS interface for general usage. The second phase focuses on PyQGIS—the Python libraries of QGIS—which facilitates the integration of GIS functionalities into your Python code or applications. This allows you to even develop your own Python plugins tailored to specific GIS functions.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyse, manage, and present spatial or geographic data. The term GIS is occasionally used to refer to Geographic Information Science (GIScience), which is the academic discipline studying these systems and forms a significant part of the broader field of geoinformatics.

This instructor-led live training (conducted online) is designed for beginners who wish to acquire knowledge of GIS concepts and develop practical skills for using QGIS.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• 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 Kuala Lumpur (online or onsite) is tailored for individuals who wish to understand requirements analysis and execute it efficiently and accurately for their projects using specific analytical techniques.

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

• Identify different types of requirements.
• Understand the overarching concepts and activities involved in requirements analysis.
• Become familiar with the requirements analysis methodology.
• Utilize various requirements analysis techniques to their advantage.
• Structure requirements to enable efficient communication with architects and developers via an iterative requirement gathering process.

This instructor-led, live online training at the intermediate level focuses on QGIS, guiding participants on how to handle satellite imagery and execute image classification.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Practical implementation in a live-lab environment.

Course Customization Options

• For those wishing to request tailored training for this course, please reach out to us to make arrangements.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for business analysts and data analysts looking to leverage the artificial intelligence capabilities of TIBCO Spotfire X to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Gain an understanding of the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.