Data Analysis Training in Cape Town

This instructor-led live training in Cape Town (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 Cape Town (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 Cape Town (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 is a data-centric platform that unifies big data, AI, and governance into a single solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise environments.

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

By the conclusion 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.
• Use loops and conditional logic to manage data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

Format of the Course

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

Course Customization Options

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

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 Cape Town (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 able to:

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

This instructor-led, live training in Cape Town (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 the capacity to comprehend and utilise digital tools, data, and systems to facilitate informed decision-making within the realm of public service delivery and governance.

This instructor-led, live training session (available online or onsite) targets public sector professionals who possess limited or emerging experience in digital intelligence. It is designed for those who interact with data, digital tools, or service performance metrics and aspire to enhance their capability to analyse, interpret, and apply information for superior decision-making.

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

• Comprehend the foundational concepts of digital intelligence and its application to public sector work.
• Utilise digital tools to collect, visualise, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a roadmap for enhancing digital capacity and adopting data-driven practices.

Format of the Course

• Interactive lectures and discussions.
• Practical application of digital tools and dashboard mockups.
• Guided exercises centred on real-world public service use cases.

Course Customization Options

• To request bespoke training for this course tailored to your department's workflows or internal tools, please contact us to make arrangements.

Storytelling with Data is the practice of using visual and narrative techniques to transform complex datasets into clear, compelling stories that inform and inspire action.

This instructor-led, live training (online or onsite) is aimed at 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.

This instructor-led live training, delivered in Cape Town (either online or onsite), targets advanced-level DevOps and SRE professionals seeking to strengthen their alerting and automation expertise with Grafana and Prometheus.

By the conclusion 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.

Participants who complete this instructor-led, live training in Cape Town 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 starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

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

This instructor-led live training, available both online and on-site, targets intermediate GIS professionals seeking to deepen their expertise in spatial data analysis, automation, and distribution using ArcGIS Professional Plus tools.

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

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

Course Format

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

Course Customisation Options

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

This instructor-led live training in Cape Town (online or onsite) is designed for 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.

Upon completing this training, participants will be able to:

• Create and manage projects within dbt Cloud.
• Utilise the dbt Cloud interface to schedule and execute data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to a production environment.
• Debug and troubleshoot dbt projects.

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

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

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

This instructor-led, live training in Cape Town (online or on-site) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimise 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 Cape Town (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 Cape Town (online or on-site) 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.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Cape Town (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization 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 visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Cape Town (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 optimisation.

This instructor-led, live training in Cape Town (online or onsite) is designed to equip participants with the skills needed to prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).

The programme provides a comprehensive overview of data science and machine learning fundamentals, demonstrating how these concepts can be applied using Microsoft Azure Machine Learning. Participants will gain practical experience in preparing data, constructing and training machine learning models, and deploying these models to the cloud. Additionally, the course addresses techniques for evaluating model performance and executing feature engineering.

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

Upon completing 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 instructor-led, live training in Cape Town (online or onsite) is designed for beginner-level professionals seeking to learn the fundamental concepts and tools of ArcGIS.

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

• Grasp the core 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 visualizations.

This instructor-led, live training in Cape Town (online or onsite) is designed for beginner-level earth sciences and engineering professionals looking to apply Python for geospatial analysis across both ArcGIS and QGIS environments.

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

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

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

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

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

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

Format of the Course

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

Course Customization Options

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

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

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This instructor-led, live training in Cape Town (online or onsite) is designed for intermediate-level geographers looking to expand their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to resolve complex geographical challenges.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for a variety of applications.
• Utilise programming and automation to streamline GIS workflows.

This instructor-led, live training in Cape Town (online or onsite) is aimed at 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 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) stands as a critical discipline within software and systems development, centred on identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.

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

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

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

Format of the Course

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

Course Customization Options

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

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces the R programming language to students, covering language fundamentals, libraries, and advanced concepts. The curriculum includes advanced data analytics and graphing using real-world data.

Audience

Developers / data analysts

Duration

3 days

Format

Lectures and Hands-on

Data analytics plays a pivotal role in modern business environments. This course emphasises the development of practical, hands-on data analysis skills. Its primary objective is to equip participants with the ability to provide evidence-based answers to key questions:

What has happened?

• processing and analysing data
• producing 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 Cape Town (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 Cape Town (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in 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 Cape Town (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 visualisations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led, live training (available online or on-site) is designed for software developers, managers, and business analysts who wish to use big data systems to store and retrieve large amounts of data.

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

• Query large amounts of data efficiently.
• Understand how Big Data systems store and retrieve data.
• Use the latest big data systems available.
• Wrangle data from data systems into reporting systems.
• Learn to write SQL queries in:
  • MySQL.
  • Postgres.
  • Hive Query Language (HiveQL/HQL).
  • Redshift.

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.

This course is designed to provide a comprehensive understanding of SQL usage across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and table joining techniques, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only streamlines analytical workflows but also supports the development of IT systems relying on relational databases.

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

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

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

This instructor-led, live training in Cape Town (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.

This course highlights the application of data analytic techniques and methodologies to solve business challenges using R, Python, and SQL. It focuses on aligning business requirements with data analytics, treating the latter as a toolkit for addressing business queries and issues.

Target Audience

• Professionals in decision-making roles, including managers and executives, who are seeking to harness data for informed choices. Data specialists, marketing professionals, and business consultants aiming to refine their data interpretation and storytelling skills.

Data Analytics for Business Professionals is a practical, hands-on course designed to empower participants to handle business data with confidence, extract valuable insights, and facilitate superior decision-making. This instructor-led, live training (available online or onsite) targets beginner-to-intermediate business professionals keen on leveraging contemporary analytical methods and tools to interpret data, uncover trends, and communicate findings effectively.

This instructor-led, live training in Cape Town (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 ever-changing energy landscape, merging electrical transient analysis with accurate geographic data is a critical strategic move. At present, depending on disconnected data sources creates substantial operational risks. This intensive 14-day programme, held in Melbourne, aims to close the divide between electrical engineering and geospatial management.

This instructor-led live training in Cape Town (onsite or remote) is designed for data analysts who wish to utilise Grafana for monitoring and visualising data.

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

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

KNIME Analytics Platform stands as a premier open-source solution for data-driven innovation, empowering you to uncover the latent potential within your data, extract fresh insights, or forecast future trends. Featuring over 1000 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 ultimate toolbox for any data scientist or business analyst.

This course on KNIME Analytics Platform offers an ideal entry point for beginners, advanced users, and KNIME experts alike, introducing them to the platform, teaching them how to utilise it more effectively, and guiding them in creating 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 individuals who may not have programming experience but wish to utilise cutting-edge tools to implement analytics scenarios.

By the conclusion 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

Format of the Course

• Interactive lecture and discussion.
• Ample 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 programme, please contact us to arrange.

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

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

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

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

A Geographic Information System (GIS) is a framework engineered to capture, store, manipulate, analyse, manage, and present spatial or geographic data. The term GIS is occasionally employed to denote Geographic Information Science (GIScience), which refers to the academic discipline dedicated to the study of such systems, representing a significant domain within the wider field of geoinformatics.

QGIS operates as GIS software, empowering users to analyse and edit spatial information, as well as create 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 essence, it enables users to create, edit, visualise, analyse, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In its initial phase, this programme introduces the QGIS interface for general usage. During the second phase, we introduce PyQGIS—the Python libraries of QGIS—which facilitates the integration of GIS functionalities into your Python code or applications, allowing you to develop custom Python plugins around specific GIS capabilities.

This instructor-led, live training in Cape Town (online or onsite) is designed for individuals who wish to understand requirements analysis and execute it efficiently and accurately by employing 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 live training in Cape Town (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze 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 visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Cape Town (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.