Data Analysis Training in Melbourne

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

This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced IT professionals seeking to integrate Grafana with Prometheus and various data sources, and to construct actionable visualisations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards incorporating variables, templating, transformations, and alerts.
• Apply best practices in data modelling, performance tuning, and user access control.

Format of the Course

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

Course Customisation Options

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

This instructor-led, live training in Melbourne (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 Melbourne (online or onsite) is designed for intermediate-level data scientists and engineers who wish to leverage Google Colab and Apache Spark for big data processing and analytics.

Upon completing this training, participants will be able to:

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

This instructor-led, live training in Melbourne (online or onsite) is tailored for intermediate-level system administrators and monitoring professionals who aim to effectively leverage Grafana for establishing monitoring solutions, managing dashboards, and configuring alerts.

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

• Grasp the distinction between observability and monitoring.
• Install and configure the Grafana server.
• Configure and connect diverse data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and visualizations.
• Utilise variables and queries to develop dynamic dashboards.
• Set up notifications and alerts via Grafana.
• Install and manage plugins to extend Grafana’s capabilities.

Stratio serves as a data-centric platform that unifies big data, artificial intelligence, and governance within a single solution. Its Rocket and Intelligence modules empower organisations to conduct rapid data exploration, transformation, and advanced analytics in enterprise settings.

This instructor-led live training, available online or onsite, is designed for intermediate-level data professionals looking to effectively utilise the Rocket and Intelligence modules in Stratio with PySpark. The course focuses on looping structures, user-defined functions, and advanced data logic.

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

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

Course Format

• Interactive lectures and group 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 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 Melbourne (online or onsite) targets intermediate-level data professionals keen on applying time series forecasting techniques to real-world data using Google Colab.

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

• Grasp the fundamentals of time series analysis.
• Leverage Google Colab to manipulate time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for adaptable forecasting.
• Visualise time series data and forecasting outcomes.

This instructor-led, live training in Melbourne (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 involves understanding and utilising digital tools, data, and systems to make informed decisions within the context of public service delivery and governance.

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

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

• Understand the foundations of digital intelligence and how it applies to public sector work.
• Use digital tools to collect, visualise, and communicate actionable insights.
• Assess the digital maturity of their own team or department.
• Build 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.

Data storytelling involves employing visual and narrative strategies to convert intricate datasets into straightforward, engaging narratives that inform and motivate action.

This instructor-led, live training (available online or onsite) is designed for public sector professionals who work with data but have had limited or informal training in data storytelling, and who wish to 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 Melbourne (online or onsite) is designed for advanced-level DevOps and SRE professionals looking to enhance their alerting and automation skills with Grafana and Prometheus.

Upon completion 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.

Upon completing this instructor-led, live training in Melbourne, participants will acquire a practical, real-world understanding of Big Data, alongside its associated technologies, methodologies, and tools.

Attendees will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and feedback from the instructor form a crucial part of the learning experience.

The course begins with an overview of fundamental Big Data concepts, then moves on to the programming languages and methodologies employed for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.

ArcGIS Pro Plus is an advanced iteration of ArcGIS Pro, providing extended 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 enhance their skills in spatial data analysis, automation, and data sharing using ArcGIS Pro Plus tools.

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

• Utilise ArcGIS Pro Plus tools for data visualisation and analysis.
• Create 2D and 3D maps using advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Melbourne (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 Melbourne (online or onsite) is designed for intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

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

• Grasp the advantages of integrating Grafana and Prometheus with cloud platforms.
• Deploy Prometheus to monitor cloud-based resources.
• Configure Grafana to visualise metrics from cloud services.
• Utilise cloud-native tools and integrations to support scalable monitoring.

This instructor-led, live training in Melbourne (online or onsite) is tailored for beginner to advanced GIS professionals and analysts who want to learn how to effectively utilise ArcGIS for data visualisation, spatial analysis, and geospatial project management.

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

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

This instructor-led, live training in Melbourne (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 Melbourne (online or onsite) is designed for advanced-level GIS professionals seeking to utilise ArcGIS Pro to bolster their spatial analysis capabilities, perform comprehensive geostatistical analysis, and apply advanced 3D modelling techniques to facilitate more effective decision-making and problem-solving in real-world scenarios.

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

• Develop advanced proficiency in spatial analysis techniques using ArcGIS Pro.
• Employ Python scripting for automation and complex data processing.
• Apply spatial modelling to address problem-solving challenges in real-world contexts.
• Conduct geostatistical analysis for sophisticated data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led, live training in Melbourne (online or onsite) is designed for beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyse data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Melbourne (online or onsite) is aimed at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualisation and analysis.

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

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualisation with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Melbourne (online or onsite) is designed for beginner-level IT support personnel who wish to provide comprehensive support for ArcGIS Enterprise, effectively addressing any anomalies or failures.

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

• Gain a clear understanding of the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise environments.
• Develop skills in troubleshooting and resolving common issues.
• Become proficient in monitoring and maintaining ArcGIS Enterprise systems.
• Master techniques for backup, recovery, and performance optimisation.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

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

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualise data using Prometheus.

This instructor-led, live training in Melbourne (online or on-site) 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 visualisation.

By the conclusion 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 visualise data and share insights.

This instructor-led, live training in Melbourne (online or onsite) is designed for professionals at the beginner level who wish to master the core concepts and tools of ArcGIS.

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

• Grasp the fundamental concepts of GIS and spatial data.
• Navigate the ArcGIS interface with confidence.
• Create and manage spatial data effectively.
• Conduct basic spatial analysis.
• Produce maps and visualisations.

This instructor-led, live training in Melbourne (online or onsite) is designed for beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.

Upon completing this training, participants will be capable of:

• Mastering Python syntax and control structures to execute geospatial tasks efficiently.
• Employing Pandas, Numpy, and Matplotlib for data analysis and visualisation within GIS.
• Manipulating and analysing vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automating geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Creating custom Python-based geoprocessing tools for ArcGIS and QGIS to optimise tasks.

Big Data and Advanced Analytics involves applying 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 Melbourne is to help participants with the ability 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 Melbourne (online or onsite) is designed for intermediate-level geographers seeking to deepen their expertise in spatial analysis, data management, and GIS applications.

Upon completing this training, participants will be capable of:

• Applying advanced spatial analysis techniques to resolve complex geographical challenges.
• Managing extensive spatial databases and executing data quality assurance.
• Developing dynamic and interactive maps and visualisations for diverse applications.
• Utilising programming and automation to optimise GIS workflows.

This instructor-led live training in Melbourne (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilise 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 an applied 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 who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernise insurance offerings and operations.

By the end 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 how they affect 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’ organisations.

Course Customization Options

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

Requirements Engineering (RE) is a pivotal discipline within the software and systems development landscape. It centres on identifying, documenting, and managing the needs and constraints of stakeholders to ensure project success.

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

Upon completing this training, participants will be equipped to:

• Understand and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritisation throughout the project lifecycle.
• Leverage 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 Customisation Options

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

R is a widely adopted, open-source platform for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language for students, covering foundational language elements, key libraries, and advanced concepts. Participants will engage in advanced data analytics and visualisation techniques using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Exercises

Data analytics is an essential instrument for businesses today. Our focus throughout the course is on cultivating practical, hands-on data analysis skills. The goal is to equip participants with the ability to provide evidence-based answers to key questions:

What has occurred?

• processing and analysing data
• creating informative data visualisations

What will occur?

• forecasting future performance
• evaluating forecasts

What should occur?

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

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

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

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Melbourne (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.
• Analyse data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analysing 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 is designed to give participants a comprehensive understanding of how to utilise SQL across various database systems (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and the methods for joining tables, attendees will learn to perform data analysis directly within the database rather than relying on MS Excel. This approach also supports the development of any IT system that utilises a relational database.

This instructor-led, live training in Melbourne (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

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 Melbourne (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 Users is a practical, hands-on training programme designed to equip participants with the confidence to work effectively with business data, extract meaningful insights, and support informed decision-making. This instructor-led, live training (available online or onsite) targets beginner-to-intermediate level business professionals who wish to leverage modern analytical techniques and tools to interpret data, identify trends, and communicate findings clearly.

This instructor-led, live training in Melbourne (online or onsite) is aimed at 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 rapidly changing energy sector, integrating electrical transient analysis with accurate geographic data is essential for strategic success. Currently, relying on disjointed information creates significant operational risks. This intensive 14-day course in Melbourne aims to bridge the divide between electrical engineering and geospatial management.

This instructor-led, live training in Melbourne (onsite or remote) is designed for data analysts looking to utilise Grafana for monitoring and visualising data.

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

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

The KNIME Analytics Platform is a leading open-source solution for driving data-based innovation. It empowers you to uncover hidden potential within your data, extract fresh insights, and forecast future trends. Featuring over 1,000 modules, hundreds of ready-to-run examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for both data scientists and business analysts.

This course offers an excellent opportunity for beginners, advanced users, and KNIME experts to become familiar with KNIME, learn to utilise it more effectively, and develop clear, comprehensive reports based on KNIME workflows.

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

It targets participants who may not have programming experience but wish to utilise cutting-edge tools to implement analytics scenarios.

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

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

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• 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 arrange.

The "KNIME Analytics Platform" training 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, building workflows, methodology for creating business models and data modelling. The course also discusses advanced data analysis tools, importing and exporting workflows, tool integration, ETL processes, data mining, visualisation, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion includes a discussion on reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led, live training in Melbourne (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.

As your delegates prepare for advanced Data Analytics degrees overseas, they encounter a dual challenge: mastering technical coding 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 embarks on their academic journey as leaders, rather than just learners.

A geographic information system (GIS) is designed to capture, store, manipulate, analyse, manage, and present spatial or geographic data. The acronym GIS is occasionally used to refer to geographic information science (GIScience), which denotes the academic discipline studying these systems and forms a significant part of the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyse 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 can georeference images. In summary, it empowers users to create, edit, visualise, analyse, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In the first phase, this program introduces the QGIS interface for general usage. In the second phase, we explore PyQGIS—the Python libraries of QGIS—which allow the integration of GIS functionalities into your Python code or applications. This enables you to develop your own Python Plugins centred on specific GIS functionalities.

This instructor-led, live training in Melbourne (online or onsite) is aimed at individuals seeking to understand requirements analysis and perform it efficiently and accurately using analytical 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, live training in Melbourne (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualise, transform, and analyse data.

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

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

This instructor-led, live training in Melbourne (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 adhere to 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.