Data Analysis Training in Christchurch

This instructor-led, live training in Christchurch (delivered either online or on-site) is designed for intermediate-level data scientists and engineers who wish to leverage 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 analyse large datasets efficiently with Apache Spark.
• Visualise big data within a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

Stratio is a data-centric platform that brings together big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led, live training (available online or on-site) is designed for intermediate-level data professionals who want to effectively use the Rocket and Intelligence modules in Stratio with PySpark, with a focus on looping structures, user-defined functions, and advanced data logic.

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

• Navigate and work within the Stratio platform using the Rocket and Intelligence modules.
• Apply PySpark in the context of data ingestion, transformation, and analysis.
• Use loops and conditional logic to control data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

Course Format

• Interactive lectures and discussions.
• Plenty of exercises and hands-on practice.
• Live-lab implementation in a real-world environment.

Course Customisation Options

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

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

This instructor-led, live training (available online or on-site) is designed for public sector professionals with limited or emerging experience in using data for decision-making. It is ideal for those who design, evaluate, or manage government programs and wish to strengthen 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 (as opposed to data-driven or intuition-based).
• Identify and assess data relevant to a specific policy or service context.
• Ask more effective questions of data analysts and interpret dashboards and reports with confidence.
• Use data to justify, refine, or defend decisions within public service settings.

Course Format

• Interactive lectures and group discussions.
• Practical application through decision scenarios, data sets, and simulated policy briefs.
• Guided exercises focused on real-world decision-making use cases.

Customisation Options

• To request a customised training session tailored to your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Christchurch (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.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilise Facebook's Prophet library for flexible forecasting.
• Visualise time series data and forecasting results.

Digital intelligence is the ability to understand and leverage digital tools, data, and systems to make informed decisions within the context of public service delivery and governance.

This instructor-led, live training (delivered online or on-site) is designed for public sector professionals with limited or emerging experience in digital intelligence who work with data, digital tools, or service performance metrics and wish to strengthen their ability to analyse, interpret, and apply information for better 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.

Course Format

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

Course Customisation Options

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

Storytelling with Data involves the application of visual and narrative techniques to convert complex datasets into clear, compelling stories that inform and inspire action.

This instructor-led, live training (available online or onsite) is designed for public sector professionals who work with data and have 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.

Participants who complete this instructor-led, live training in Christchurch will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

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

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

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modelling, automation, and enterprise collaboration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

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

Format of the Course

• Interactive lecture and discussion.
• Plenty of 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 Christchurch (online or on-site) is designed for beginner-level data engineers, analysts, and scientists who want to learn 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 Christchurch (online or onsite) is designed for GIS professionals and analysts, from beginner to advanced levels, who wish to learn how to effectively use ArcGIS for data visualisation, spatial analysis, and geospatial project management.

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

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

This instructor-led, live training in Christchurch (delivered either online or on-site) is designed for data engineers and analysts seeking to gain beginner to intermediate-level knowledge of using AWS Glue to establish a data pipeline.

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

• Understand the fundamentals of AWS Glue.
• Set up an AWS Glue pipeline.
• Configure AWS Glue crawlers and jobs.
• Learn how to apply AWS Glue transformations.

This instructor-led, live training in Christchurch (online or on-site) 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 modelling 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.
• Utilise Python scripting for automation and complex data processing.
• Apply spatial modelling 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 Christchurch (online or on-site) is aimed at beginner-level to intermediate-level 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 visualisations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Christchurch (online or on-site) is designed for data analysts and anyone keen to learn 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:

• Conduct data analysis using Python, R, and SQL.
• Generate actionable insights through data visualisation with Tableau.
• Make data-driven decisions to enhance business operations.

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

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

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

This instructor-led, live training in Christchurch (online or on-site) is designed for analysts who wish to leverage TM1 to analyse and customise reports and templates for database data.

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

• Learn how to analyse data using IBM Planning Analytics.
• Create custom views of data within a database.
• Build reports and forms that communicate with TM1.

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

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.
• Optimise 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 Christchurch (online or on-site) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

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

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimise queries for better performance using Analytic Functions.

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner-level professionals seeking to master the core concepts and tools of ArcGIS.

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

• Understand the fundamental concepts of GIS and spatial data.
• Navigate the ArcGIS interface with confidence.
• Create and manage spatial data effectively.
• Perform basic spatial analysis.
• Develop maps and visualisations.

This instructor-led, live training in Christchurch (available online or on-site) is designed for data analysts and data scientists who wish to leverage the MongoDB Aggregation Framework to conduct data analysis while simplifying complex operations and aggregation pipelines.

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

• Install and configure MongoDB for data analysis.
• Grasp the core concepts and stages of the MongoDB Aggregation Framework.
• Understand the fundamental structure, syntax, and operations used in aggregation.
• Master advanced operations within aggregation pipelines.
• Apply optimisation tools and techniques to enhance aggregation performance.

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

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

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Leverage Pandas, Numpy, and Matplotlib for data analysis and visualisation in GIS.
• Manipulate and analyse vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in both ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline operational tasks.

This instructor-led, live training in Christchurch (online or on-site) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organising, managing, and analysing geographic information.

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

• Understand the fundamentals of ArcMap and ArcGIS.
• Collect, organise, manage, and analyse geographic information relating to social and archaeological elements.
• Conduct spatial queries for impact evaluation.

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to analyse large, complex datasets, generating actionable insights and supporting strategic decision-making.

This instructor-led, live training (available online or on-site) is designed for 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 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.

Course Format

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

Course Customisation Options

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

The aim of the course in Christchurch is to help participants provide evidence-based answers to the following questions:

What has happened?

• Processing and analysing data
• Creating informative data visualisations

What will happen?

• Forecasting future performance
• Evaluating forecasts

What should happen?

• Turning data into evidence-based business decisions
• Optimising processes

This instructor-led, live training in Christchurch (online or on-site) is designed for data analysts or anyone wishing to use SPSS Modeler to carry out data mining activities.

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

• Grasp the fundamentals of data mining.
• Learn how to import and assess data quality using the Modeler.
• Efficiently develop, deploy, and evaluate data models.

Participants who complete this instructor-led, live training in Christchurch 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 key part of the class.

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

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 language fundamentals, libraries, and advanced concepts. Participants will explore advanced data analytics and visualisation using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on sessions

Audience

Analysts, researchers, scientists, graduates, students, and anyone keen to learn how to streamline statistical analysis using Microsoft Excel.

Course Objectives

This course will enhance your proficiency in both Excel and statistics, thereby boosting the effectiveness and efficiency of your work or research.

The course covers how to utilise the Analysis ToolPak in Microsoft Excel, apply statistical functions, and carry out fundamental statistical procedures. It also explains Excel's limitations and provides strategies to overcome them.

Data analytics is a vital tool in today's business landscape. Throughout this course, we focus on building practical, hands-on skills for data analysis. The goal is to empower participants to provide evidence-based answers to key questions: 

What has happened?

• processing and analysing data
• creating insightful data visualisations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level Python developers and data analysts seeking 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 including 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 analyse time series data.
• Visualise data using Matplotlib and other visualisation libraries.
• Debug and optimise their data analysis code.

This instructor-led, live training (available online or on-site) is designed for HR professionals who wish to leverage analytical methods to enhance organisational performance. The course explores both qualitative and quantitative approaches, including empirical and statistical techniques.

Course Format

• Interactive lectures and group discussions.
• Abundant exercises and hands-on practice.

Course Customisation Options

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

This instructor-led, live training in Christchurch (available online or on-site) is aimed at data scientists who wish to leverage IBM Cloud Pak to prepare data for AI solutions.

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

• Install and configure Cloud Pak for Data.
• Unify the collection, organisation, and analysis of data.
• Integrate Cloud Pak for Data with a range of services to address common business challenges.
• Implement workflows that enable collaboration with team members on AI solution development.

In this instructor-led, live training in Christchurch (delivered either on-site or remotely), participants will learn how to harness the combined capabilities of Python and Excel.

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

• Install and configure packages to integrate Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions directly from Excel.

This instructor-led, live training in Christchurch (online or on-site) is designed for technical professionals who want to gain a practical understanding of available cloud solutions, the data analysis processes required to work with data in the cloud, and hands-on experience applying tools like Power BI to analyse data.

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

• Install and configure Power BI.
• Evaluate the range of data solutions offered by cloud providers such as Azure.
• Understand the various structures, modelling approaches, and data warehouse designs used to store, manage, and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Develop reporting and analytics solutions based on both on-premises and cloud data.
• Integrate data analytics solutions with a data warehouse.
• Reduce data security risks and ensure data privacy.

This instructor-led, live training in Christchurch (online or on-site) is designed for developers and administrators who wish to use 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 begin building search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) for 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 utilise plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to optimise the search experience while maintaining cluster security.
• Use OpenSearch Dashboards to centralise data management, visualisation, logging, monitoring, and maintenance.

This instructor-led, live training in Christchurch (online or on-site) 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 visualisations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led, live training in Christchurch (delivered online or on-site) is aimed at data scientists and software engineers who wish to leverage Dask within the Python ecosystem to build, scale, and analyse large datasets.

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

• Set up the environment to begin building big data processing solutions with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (NumPy, SciPy, and Pandas) using Dask.
• Optimise the Dask environment to maintain high performance when handling large datasets.

The aim of this course is to provide a clear understanding of how to use SQL across various databases (Oracle, SQL Server, MS Access, etc.). A solid grasp of analytic functions and techniques for joining different tables within a database will enable delegates to shift data analysis operations to the database layer, rather than relying on the MS Excel application. This approach also supports the development of any IT system that utilises a relational database.

This instructor-led, live training in Christchurch (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 Christchurch (available online or on-site) is tailored for field ecologists and conservation managers who wish to create spatial data projects using ArcGIS.

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

• Present spatial data as visualisations.
• Perform geostatistics on real-world data.
• Implement spatial data analysis, data processing, and mapping using ArcGIS.
• Analyse spatial data for projects within ArcGIS.

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

• Understand GIS concepts and spatial data types using the latest version of ArcGIS Pro.
• Explore the user interface and assess its applications.
• Investigate ArcGIS* Pro and learn how to leverage online content.
• Manage, manipulate, and analyse your own data.
• Display and share your data in meaningful and creative ways.

Note: We will be using the latest version of ArcGIS Pro.

This instructor-led, live training in Christchurch (available online or on-site) is designed for GIS analysts who wish to automate repetitive tasks within GIS workflows.

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

• Build GIS applications using Python and ArcGIS tools.
• Develop using the ArcGIS package ArcPy with Python.
• Apply ArcGIS modules for map automation using object classes in Python.

This instructor-led, live training in Christchurch (online or on-site) is designed for data scientists, data analysts, and business analysts seeking to clean and process data effectively.

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

• Develop an effective data cleaning strategy.
• Implement practical tools for data cleaning.
• Achieve results more efficiently.
• Learn and apply best practices in data cleaning.

KNIME Analytics Platform is a leading open-source option for data-driven innovation, helping you uncover the potential hidden in your data, mine fresh insights, or predict new futures. With over 1,000 modules, hundreds of ready-to-run examples, a comprehensive suite of integrated tools, and the widest range of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course on KNIME Analytics Platform offers an ideal opportunity for beginners, advanced users, and KNIME experts to get introduced to KNIME, learn how to use it more effectively, and create clear, comprehensive reports based on KNIME workflows.

This instructor-led, live training (available online or on-site) is designed for data professionals who want to leverage KNIME to address complex business challenges.

It is tailored for audiences without programming experience who wish to utilise cutting-edge tools to implement analytics scenarios.

By the end 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 of data science models.

Course Format

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

Course Customisation Options

• To request customised training for this course or to learn more about the 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, KNIME installation and configuration, workflow creation, methodologies for building business models and data modelling. The course also explores advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, 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 the KNIME WebPortal.

This instructor-led, live training in Christchurch (online or on-site) is designed for data scientists who wish to program in Python and R within 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 to support operations.
• Implement end-to-end data science projects.

This instructor-led, live training in Christchurch (online or on-site) is designed for data analysts who wish to use LibreOffice Calc to conduct a wide range of data analysis tasks—from basic to advanced—leveraging functionalities similar to those found in Excel and other spreadsheet applications.

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

• Install the LibreOffice suite on any operating system.
• Understand the full range of features and functionalities available in LibreOffice Calc.
• Learn how to clean, validate, manipulate, and visualise data in Calc.
• Apply the various functions and tools in Calc to perform complex data analysis.
• Gain practical tips and insights for conducting advanced data analysis.

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

QGIS functions as geographic information system (GIS) software, enabling users to analyse and edit spatial information, as well as compose and export graphical maps. QGIS supports both raster and vector layers; vector data is stored as point, line, or polygon features. Multiple raster image formats are supported, and the software can georeference images. In summary, QGIS allows users to create, edit, visualise, analyse, and publish geospatial information on Windows, macOS, Linux, and BSD.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we introduce PyQGIS—the Python libraries for QGIS—which enable the integration of GIS functionalities into your Python code or applications. This allows you to develop your own Python plugins tailored to specific GIS tasks.

This instructor-led, live training in Christchurch (online or on-site) is designed for business analysts and data analysts who wish to learn fundamental Spotfire Analyst techniques for data analysis.

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

• Install and configure TIBCO Spotfire.
• Combine data from different databases.
• Visualise large datasets.
• Create and share complex dashboards.

This instructor-led, live training in Christchurch (delivered online or on-site) is designed for business analysts and data analysts who wish to leverage TIBCO Spotfire X's 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.
• Grasp the concepts underpinning 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 Christchurch (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.