Data Analysis Training in Abu Dhabi

This instructor-led, live training in Abu Dhabi (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.

Stratio serves as a comprehensive, data-centric platform that unifies big data, artificial intelligence, and governance into a single solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise settings.

This instructor-led live training (available online or on-site) targets intermediate-level data professionals aiming to leverage the Rocket and Intelligence modules in Stratio effectively with PySpark. The curriculum focuses on looping structures, user-defined functions, and advanced data logic.

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

• Navigating and operating within the Stratio platform using the Rocket and Intelligence modules.
• Applying PySpark for data ingestion, transformation, and analysis.
• Utilizing loops and conditional logic to manage data workflows and feature engineering tasks.
• Creating and managing user-defined functions (UDFs) for reusable data operations in PySpark.

Course Format

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

Customization Options

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

Making Data-Informed Decisions involves incorporating relevant data, evidence, and analysis into the decision-making process to enhance public sector outcomes and accountability.

This instructor-led live training (available online or onsite) is designed for 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 Abu Dhabi (online or onsite) is aimed at 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.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

Digital Intelligence refers to the capability of comprehending and utilizing digital tools, data, and systems to facilitate well-informed decisions within the realm of public service delivery and governance.

This instructor-led, live training session (available online or onsite) is designed for public sector professionals who possess limited or developing experience in digital intelligence. It targets individuals who interact with data, digital tools, or service performance metrics and aim to enhance their capacity to analyze, interpret, and apply information for improved decision-making.

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

• Grasp the fundamental principles of digital intelligence and their application in public sector operations.
• Utilize digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a strategic roadmap for boosting digital capacity and data-driven practices.

Course Format

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

Course Customization Options

• For a customized training program tailored to your department's workflows or internal tools, please contact us to arrange.

Storytelling with Data involves employing visual and narrative strategies to convert intricate datasets into transparent, engaging stories that clarify insights and motivate decisive action.

This instructor-led, live training (available online or onsite) is tailored for public sector professionals who handle data but have limited or informal training in data storytelling. It aims to enhance their capability to present data clearly and persuasively through narrative and visuals.

By the conclusion 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.

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

Attendees will have the opportunity to put this knowledge into practice through hands-on exercises. The class places significant importance on group interaction and instructor feedback.

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

ArcGIS Professional Plus represents the advanced tier of the ArcGIS Pro suite, providing extended capabilities for geospatial data analysis, 3D modeling, process automation, and enterprise-level collaboration.

This instructor-led training session, available online or on-site, is designed for intermediate-level GIS professionals seeking to enhance their proficiency in spatial data analysis, automation, and data sharing through the use of ArcGIS Professional Plus tools.

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

• Utilize ArcGIS Pro Plus tools to perform sophisticated data visualization and analysis.
• Develop 2D and 3D maps employing advanced symbology and geoprocessing methods.
• Automate operational workflows using ModelBuilder and Python scripting.
• Seamlessly integrate ArcGIS with external data services and enterprise systems.

Course Format

• Engaging interactive lectures and discussions.
• Extensive practical exercises and reinforcement activities.
• Hands-on implementation within a live-lab environment.

Customization Options

• For inquiries regarding customized training arrangements for this course, please contact our team.

This instructor-led, live training in Abu Dhabi (online or onsite) targets beginner-level data engineers, analysts, and scientists who aim to understand how to utilize dbt Cloud for managing their cloud-based data warehousing and transformation projects.

By the conclusion 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 session in Abu Dhabi (available online or on-site) is intended for GIS professionals and analysts at beginner to advanced levels who wish to learn how to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and 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 Abu Dhabi (online or onsite) is designed for data engineers and analysts seeking beginner to intermediate skills in using AWS Glue to build data pipelines.

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

• Grasp the core concepts of AWS Glue.
• Configure an AWS Glue pipeline.
• Deploy AWS Glue crawlers and jobs.
• Apply AWS Glue transformations.

This instructor-led live training in Abu Dhabi (online or onsite) targets advanced-level GIS professionals who aim to enhance their spatial analysis capabilities using ArcGIS Pro, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques to improve decision-making and problem-solving in practical 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 Abu Dhabi (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim 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 Abu Dhabi (online or onsite) is designed for data analysts and professionals interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

Upon completing this training, participants will be able to:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Drive business operations with data-informed decisions.

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

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

• Grasping the architecture and key components of ArcGIS Enterprise.
• Acquiring the skills to install, configure, and manage ArcGIS Enterprise.
• Developing troubleshooting abilities to address common issues.
• Building proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Mastering backup, recovery, and performance optimization techniques.

This instructor-led live training in Abu Dhabi (offered online or onsite) is designed for analysts who intend to use TM1 to analyze and customize reports and templates for data stored in a database.

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

• Master the process of analyzing data using IBM Planning Analytics.
• Construct custom views of data within a database.
• Develop reports and forms that communicate with TM1.

This instructor-led live training in Abu Dhabi (online or onsite) is designed to help participants prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).

The course covers the basics of data science and machine learning, and how they can be implemented using Microsoft Azure Machine Learning. Participants will learn how to prepare data, build and train machine learning models, and deploy models to the cloud. The course also covers how to evaluate model performance and perform feature engineering.

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

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

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

This instructor-led live training in Abu Dhabi (online or onsite) targets intermediate-level database administrators, SQL developers, and data analysts who aim to boost their SQL skills by mastering Analytic Functions.

By the conclusion 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.
• Optimize queries for better performance using Analytic Functions.

This instructor-led live training, conducted Abu Dhabi (online or on-site), is intended for beginner-level professionals seeking to understand the essential concepts and tools of ArcGIS.

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

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

This instructor-led, live training in Abu Dhabi (online or onsite) is designed for data analysts and data scientists who wish to utilize the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.

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

• Install and configure MongoDB for data analysis purposes.
• Grasp the core concepts and stages of the MongoDB Aggregation Framework.
• Acquire knowledge of the fundamental structure, syntax, and operations required for aggregation.
• Master the handling of advanced aggregation operations.
• Utilize various optimization tools and techniques to enhance aggregation performance.

This instructor-led live training in Abu Dhabi (online or onsite) is tailored for beginner-level professionals in earth sciences and engineering who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.

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

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

Big Data and Advanced Analytics involves deploying sophisticated methodologies and tools to examine vast, complex datasets, enabling actionable insights and strategic decision-making.

This instructor-led, live training (available online or onsite) targets advanced-level data professionals seeking to harness cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

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

Format of the Course

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

Course Customization Options

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

The aim of the course 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 Abu Dhabi (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

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

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

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

This instructor-led, live training (available online or onsite) targets intermediate-level insurance professionals who want to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operations.

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

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

Format of the Course

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

Course Customization Options

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

Requirements Engineering (RE) is a fundamental discipline within software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals aiming 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 prioritization 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 Customization Options

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

This instructor-led live training in Abu Dhabi (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.

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

• Understand the fundamentals of data mining.
• Learn how to import and assess data quality with the Modeler.
• Develop, deploy, and evaluate data models efficiently.

R is a highly popular, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will learn advanced data analytics and graphing techniques using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

Data analytics is a vital asset in the modern business landscape. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip 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 Abu Dhabi (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 Abu Dhabi (online or onsite) targets developers and administrators seeking to utilize OpenSearch for distributed search and data analytics in a secure, unified environment.

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

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

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

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

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

This instructor-led live training, available both online and onsite, is designed for software developers, managers, and business analysts who aim to leverage big data systems for storing and retrieving large volumes of data.

Upon completing this training, participants will be capable of:

• Efficiently querying large datasets.
• Understanding the mechanisms by which Big Data systems store and retrieve information.
• Utilizing the latest big data technologies.
• Transforming data from storage systems into reporting frameworks.
• Writing SQL queries across multiple platforms, including:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

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

Customization Options

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

This course is designed to provide a comprehensive understanding of how to utilize SQL across various database platforms such as Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis tasks from MS Excel directly to the database layer. This approach not only streamlines analytical operations but also aids in the development of any IT system that relies on relational databases.

This instructor-led live training in Abu Dhabi (online or onsite) targets business analysts seeking to acquire advanced Spotfire Analyst skills for data analysis.

By the conclusion 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 Abu Dhabi (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 focuses on applying data analytics techniques and methodologies to solve business challenges using R, Python, and SQL. It highlights the connection between business needs and data analytics, treating analytics as a toolkit for addressing business queries and issues.

Target Audience

• Decision-makers, such as managers and executives, who aim to leverage data for informed strategic choices. Data specialists, marketing professionals, and business consultants looking to enhance their data interpretation and storytelling capabilities.

Data Analytics for Business Professionals is an interactive, practical workshop designed to empower participants to manage business data with confidence, derive valuable insights, and facilitate improved decision-making. This instructor-led, live training session (available online or onsite) is tailored for beginner-to-intermediate business professionals seeking to leverage contemporary analytical methods and tools to interpret information, spot trends, and communicate findings effectively.

This instructor-led live training, conducted in Abu Dhabi (online or onsite), targets data scientists, data analysts, and business analysts who aim to clean and process data with precision.

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

• Develop a comprehensive data cleaning strategy.
• Utilize essential tools for data cleaning.
• Deliver results more efficiently.
• Learn and apply industry-standard data cleaning best practices.

In the dynamic energy sector, integrating electrical transient analysis with accurate geographic data has become a strategic imperative. Relying on disjointed data currently exposes operations to significant risks. This intensive 14-day program, hosted in Melbourne, is designed to bridge the critical gap between electrical engineering and geospatial management.

Informatica Data Quality for Analysts 10.2x is an introductory course designed to help business and data analytics professionals understand the importance of data quality and how to assess and improve the accuracy, completeness, validity, and consistency of data. This course provides an overview of the key steps in the Data Quality Process, including the use of Informatica products and features for analyzing data quality. It also covers essential skills for maintaining and improving data quality in the long term.

Topics include:
• Introduction to data quality
• Overview of the Data Quality process
• Using Informatica Analytic Services to analyze data
• Working with reference data
• Using scorecards and rules to evaluate data
• Implementing business process refinement
• Using data stewardship to ensure data accuracy and consistency
• Creating dashboards and data visualizations
• Using data integration to enhance and update data
• Working with business rules to enforce accuracy and consistency
• Using data cleansing and enrichment to improve data

KNIME Analytics Platform stands as a premier open-source solution for driving data-led innovation. It empowers users to uncover hidden potential within their data, extract fresh insights, and forecast future trends. Boasting over 1,000 modules, numerous 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 every data scientist and business analyst.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with the platform, master its effective usage, and learn how to generate clear, comprehensive reports through 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.

The program targets participants who may not have programming experience but wish to utilize cutting-edge tools to implement analytics scenarios.

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

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

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Abu Dhabi (online or on-site) is tailored for data scientists seeking to utilize Python and R for KNIME.

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

• Plan, develop, and deploy machine learning models within KNIME.
• Make data-driven decisions for operational improvements.
• Implement comprehensive data science projects from start to finish.

This instructor-led live training in Abu Dhabi (available online or onsite) targets data analysts who wish to employ LibreOffice Calc for diverse forms of data analysis, ranging from basic to advanced, utilizing functionalities similar to those in Excel and other spreadsheet software.

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

• Installing the LibreOffice suite on any operating system.
• Understanding the full features and functionalities available in LibreOffice Calc.
• Learning how to clean, validate, manipulate, and visualize data in Calc.
• Applying the various functions and tools in Calc to perform complex data analysis.
• Gaining some tips and insights on conducting advanced data analysis.

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 built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote geographic information science (GIScience), which refers to the academic discipline focused on studying geographic information systems and represents a significant domain within the broader field of geoinformatics.

QGIS operates as geographic information system (GIS) software, enabling users to analyze 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. It supports multiple raster image formats and allows users to georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial information on Windows, Mac, Linux, and BSD platforms.

This program begins by introducing the QGIS interface for general usage in its first phase. In the second phase, we introduce PyQGIS—the Python libraries of QGIS—which allow you to integrate GIS functionalities into your Python code or applications, enabling you to develop your own Python Plugins around specific GIS functionalities.

This instructor-led live training in Abu Dhabi (online or onsite) is designed for business and data analysts seeking to utilize TIBCO Spotfire X's artificial intelligence capabilities to visualize, transform, and analyze data.

By the conclusion 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 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 Abu Dhabi (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.

This Training Needs Analysis course provides participants with a best-practice overview of the tools, tips, and techniques required to deliver a world-class training function. Attendees will gain a comprehensive set of tools and case examples that can be readily applied in their workplace.