Data Analysis Training in Ho Chi Minh City

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level Grafana users who want to construct interactive dashboards with drill-down functionality, dynamic thresholds, and contextual updates.

Upon completing this training, participants will gain the ability to:

• Build dashboards that respond dynamically to user actions, such as clicking on graph bars
• Implement visual drill-downs that update within the same view (avoiding new tabs)
• Set up pie charts and detailed panels triggered by selection filters
• Utilize dynamic thresholds that adapt to both user input and real-time data streams

This instructor-led, live training in Ho Chi Minh City (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 Ho Chi Minh City (online or onsite) is aimed at intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

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

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

Stratio offers a unified platform that combines big data capabilities, artificial intelligence, and governance. Its Rocket and Intelligence modules facilitate swift data exploration, transformation, and advanced analytics within enterprise settings.

This instructor-led live training (available online or onsite) is designed for intermediate-level data professionals aiming to effectively utilize Stratio's Rocket and Intelligence modules with PySpark. The curriculum emphasizes looping structures, user-defined functions, and complex data logic.

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

• Navigate the Stratio platform proficiently using its Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analysis tasks.
• Utilize loops and conditional logic to manage data workflows and feature engineering processes.
• Develop and manage user-defined functions (UDFs) to enable reusable data operations in PySpark.

Course Format

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

Customization Options

• For customized training needs, please contact us to make arrangements.

Making data-informed decisions involves integrating relevant data, evidence, and analysis into the decision-making process to improve public sector outcomes and accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to enhance their ability to interpret, validate, and apply data to real-world decisions.

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

• Understand what it means to be data-informed (versus data-driven or intuition-based).
• Identify and assess data relevant to a policy or service context.
• Ask better questions of data analysts and interpret dashboards and reports effectively.
• Apply data to justify, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of decision scenarios, data sets, and mock policy briefs.
• Guided exercises focused on practical decision-making 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.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level data professionals who wish 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 fundamentals of time series analysis.
• Leveraging Google Colab to manipulate time series data.
• Applying ARIMA models to forecast data trends.
• Utilizing Facebook’s Prophet library for adaptable forecasting.
• Visualizing both time series data and forecasting outcomes.

This instructor-led, live training in Ho Chi Minh City (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 refers to the capacity to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within public service delivery and governance contexts.

This instructor-led live training (available online or onsite) is designed for public sector professionals who have limited or emerging experience in digital intelligence but work with data, digital tools, or service performance metrics. It aims to strengthen their ability to analyze, interpret, and apply information for improved decision-making.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on practice with digital tools and dashboard mockups.
• Guided exercises centered on real-world public service use cases.

Customization Options

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

Data storytelling involves using visual and narrative methods to convert complex data sets into clear, engaging stories that drive understanding and 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 improve their ability to present data clearly and persuasively through narrative and visuals.

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

• Convert raw data into impactful visual stories.
• Select charts and layouts that effectively support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Course Format

• Interactive lectures and discussions.
• Hands-on application 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 tailored to your department's workflows or internal tools, please contact us to arrange it.

This instructor-led, live training in Ho Chi Minh City (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 Ho Chi Minh City, participants will acquire a practical, real-world grasp of Big Data, along with its associated technologies, methodologies, and tools.

The course provides ample opportunity for learners to apply their knowledge through hands-on exercises. Active group interaction and direct feedback from the instructor are key elements of the class experience.

The curriculum begins by introducing fundamental Big Data concepts, then advances into the programming languages and methodologies essential for data analysis. Finally, it explores the tools and infrastructure that support Big Data storage, distributed processing, and scalability.

ArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

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

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

• Utilizing ArcGIS Pro Plus tools for effective data visualization and analysis.
• Developing 2D and 3D maps with advanced symbology and geoprocessing techniques.
• Automating workflows through ModelBuilder and Python scripting.
• Integrating ArcGIS with external data services and enterprise systems.

Format of the Course

• Interactive lectures and discussions.
• Extensive 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 accordingly.

This guided, live training in Ho Chi Minh City (online or onsite) is designed for beginner-level data engineers, analysts, and scientists seeking to understand how to use dbt Cloud to manage their cloud-based data warehousing and transformation projects.

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 Ho Chi Minh City (online or onsite) is designed for GIS professionals and analysts ranging from beginner to advanced levels who seek to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

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

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level DevOps and SRE professionals who want to build impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.

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

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at 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 Ho Chi Minh City (online or onsite) is designed for beginner to intermediate data analysts and business professionals who want to handle complex data analysis tasks more intuitively across various industries using Google Gemini AI.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Google Gemini AI.
• Link various data sources to Gemini AI.
• Explore data through natural language queries.
• Analyze data patterns and extract insights.
• Create engaging data visualizations.
• Effectively communicate data-driven insights.

This live, instructor-led training in Ho Chi Minh City (available online or onsite) targets data analysts and individuals interested in learning how to utilize and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conducting data analysis utilizing Python, R, and SQL.
• Generating actionable insights via data visualization in Tableau.
• Supporting business operations with data-driven decision-making.

This instructor-led live training in Ho Chi Minh City (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

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

• Understand the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led, live training in Ho Chi Minh City (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 Ho Chi Minh City (online or onsite) is tailored for beginner-level professionals eager to learn the essential concepts and tools of ArcGIS.

By the end 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 (Ho Chi Minh City) is designed for beginner-level professionals in earth sciences and engineering who wish to apply 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 applying sophisticated techniques and tools to analyze large, complex datasets in order to generate actionable insights and support strategic decision-making.

This instructor-led live training (available online or onsite) is designed for advanced data professionals who want to utilize cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

• Design and implement large-scale data processing pipelines for both 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.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

The objective of the course is to assist participants in providing evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• creating insightful data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level geographers aiming 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 methods to address complex geographical challenges.
• Manage extensive spatial databases and execute data quality control procedures.
• Develop dynamic and interactive maps and visualizations for diverse use cases.
• Leverage programming and automation to optimize GIS workflows.

This instructor-led, live training in Ho Chi Minh City (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 provides a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led live training (available online or onsite) targets 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) serves as a fundamental discipline in software and systems development, concentrating on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

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

After completing this training, participants will be capable of:

• Grasping and applying the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identifying and eliciting requirements using effective and contextually appropriate techniques.
• Modeling, documenting, and validating requirements for real-world projects.
• Managing requirement changes, traceability, and prioritization across the project lifecycle.
• Leveraging Requirements Engineering tools and best practices to improve communication and project outcomes.
• Being fully prepared to sit for and pass the IREB CPRE – Foundation Level certification exam.

Course Format

• Interactive lectures and discussions.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Customization Options

• Additional modules or industry-specific case studies can be included upon request.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering fundamental concepts, libraries, and advanced topics. Participants will learn advanced data analytics techniques and graphing methods using real-world data.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Practice

Data analytics has become an essential asset for businesses today. Throughout this course, we will concentrate on building practical, hands-on data analysis skills. Our goal 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 Ho Chi Minh City (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 Ho Chi Minh City (online or onsite) targets developers and administrators who wish to use OpenSearch to perform distributed search and data analytics within a unified and secure system.

Upon completing this training, participants will be able to:

• Configure the required development environment to begin building search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Understand the three migration strategies (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Learn how 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, Grafana, etc.) to enhance the search experience while maintaining cluster security.
• Utilize OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance tasks.

This instructor-led, live training in Ho Chi Minh City (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 the right format, from straight numbers to data visualizations.
• Gain valuable insights from data, including trends in performance, and problematic areas.

This course is designed to provide a comprehensive understanding of SQL usage across various database platforms such as Oracle, SQL Server, and MS Access. By mastering analytic functions and table joining techniques, participants will be able 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 utilizing relational databases.

This instructor-led, live training in Ho Chi Minh City (online or on-site) is designed for business analysts looking to learn advanced Spotfire Analyst techniques for data analysis.

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

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is tailored for field ecologists and conservation managers who wish to develop spatial data projects in ArcGIS.

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

• Generate visualizations from spatial data.
• Perform geostatistical analysis on real-world data.
• Implement spatial data analysis, processing, and mapping with ArcGIS.
• Analyze spatial data for project purposes in ArcGIS.

Data Analysis for Business Professionals is a practical, hands-on training program designed to empower participants to work confidently with business data, extract meaningful insights, and facilitate better decision-making. This instructor-led, live training (available online or onsite) targets beginner-to-intermediate business professionals who want to leverage modern analytical techniques and tools to interpret data, identify trends, and communicate insights effectively.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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

• Develop an effective data cleaning strategy.
• Implement useful tools for data cleaning.
• Get a result more efficiently.
• Learn and apply data cleaning best practices.

In the dynamic energy industry, combining electrical transient analysis with accurate geographic data is a strategic imperative. Currently, depending on disjointed information creates substantial operational risks. This 14-day immersive course in Melbourne aims to connect electrical engineering principles with geospatial management.

This instructor-led live training, available Ho Chi Minh City (onsite or remote), is designed for data analysts who wish to leverage Grafana for monitoring and visualizing data.

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

• Establish the necessary development environment to begin creating visualizations in Grafana.
• Configure Grafana for high availability.
• Customize panels and dashboards with data.
• Set up a reverse proxy to ensure fast loading speeds.

The KNIME Analytics Platform is a premier open-source solution for driving data-led innovation. It empowers you to uncover hidden potential within your data, extract fresh insights, or forecast future trends. Featuring over 1,000 modules, numerous ready-to-execute examples, a broad suite of integrated tools, and the most extensive selection of advanced algorithms available, KNIME Analytics Platform serves as the ideal toolbox for any data scientist or business analyst.

This course on the KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts alike to become familiar with KNIME, learn how to utilize it more effectively, and master the creation of clear, comprehensive reports based on KNIME workflows.

This instructor-led live training (available online or onsite) is designed for data professionals seeking to leverage KNIME to address complex business challenges.

The course targets participants who may not have programming experience but intend to use cutting-edge tools to implement analytics scenarios.

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

• Install and configure KNIME.
• Construct Data Science scenarios
• Train, test, and validate models
• Implement the end-to-end value chain for data science models

Course Format

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

Course Customization Options

• To request customized training for this course or to learn more about this program, please contact us to make arrangements.

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

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at data scientists who wish to program 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 want to acquire skills in managing large-scale spatial databases using PostGIS and QGIS.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

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

A geographic information system (GIS) is designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.

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 also occasionally used to refer to Geographic Information Science (GIScience), which denotes the academic discipline studying these systems, forming a significant part of the broader field of geoinformatics.

This instructor-led, live online training is designed for beginners who want to build their understanding of GIS concepts and develop practical skills for using QGIS.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects.

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

• identify different types of requirements.
• understand the overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

This instructor-led, online intermediate-level training on QGIS is designed to teach participants how to work with satellite imagery and perform image classification using the software.

Course Format

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

Customization Options

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

This instructor-led, live training session (Ho Chi Minh City) (online or onsite) is tailored for business analysts and data analysts who want to utilize the artificial intelligence capabilities of TIBCO Spotfire X to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Gain insight into the features and architecture of TIBCO Spotfire X.
• Comprehend the fundamental concepts of augmented and predictive analytics.
• Acquire skills in loading, processing, and visualizing data using Spotfire X.
• Develop interactive and enriched data visualizations.

This instructor-led, live training in Ho Chi Minh City (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.