Data Analysis Training in Belgrade

This instructor-led live training in Belgrade (available online or onsite) is targeted at intermediate-level data scientists and engineers interested in employing Google Colab and Apache Spark for big data processing and analytics.

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

• Configure a big data environment using Google Colab and Spark.
• Efficiently process and analyze large datasets via Apache Spark.
• Integrate Apache Spark with cloud-based tools.

Stratio is a comprehensive, data-centric platform that unifies big data capabilities, artificial intelligence, and governance into a single, cohesive solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics, making it ideal for enterprise environments.

This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals eager to master the Rocket and Intelligence modules within the Stratio ecosystem using PySpark. The curriculum emphasizes looping structures, user-defined functions (UDFs), and complex data logic.

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

• Efficiently navigate and operate within the Stratio platform, utilizing both Rocket and Intelligence modules.
• Apply PySpark effectively for data ingestion, transformation, and analytical tasks.
• Utilize loops and conditional logic to orchestrate data workflows and execute feature engineering.
• Develop and manage user-defined functions (UDFs) to create reusable data operations in PySpark.

Course Format

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

Course Customization Options

• For customized training tailored to your specific needs, please reach out to us to make arrangements.

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

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

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

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

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Belgrade (online or onsite) is designed for intermediate-level data professionals who aim to apply time series forecasting techniques to real-world data using Google Colab.

By the conclusion 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 to comprehend and utilize digital tools, data, and systems to support informed decision-making within public service delivery and governance.

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

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

• Grasp the fundamentals of digital intelligence and its application to public sector work.
• Utilize digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their team or department.
• Develop a roadmap for improving digital capacity and data-driven practices.

Course Format

• Interactive lectures and discussions.
• Practical engagement with digital tools and dashboard mockups.
• Guided exercises based on real-world public service scenarios.

Customization Options

• To request a customized version of this course tailored to your department’s workflows or internal tools, please contact us to arrange.

Data storytelling involves leveraging visual and narrative strategies to convert intricate datasets into clear, compelling narratives that drive insight and motivate action.

This instructor-led live training (available online or onsite) is designed for public sector professionals who work with data but have limited or informal training in data storytelling, aiming to improve 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.

By completing this instructor-led, live training in Belgrade, participants will develop a practical, real-world grasp of Big Data, along with its associated technologies, methodologies, and tools.

Participants will have the chance to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the course.

The course begins with an introduction to fundamental Big Data concepts, then moves on to 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.

ArcGIS Pro Plus is an enhanced version of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

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

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

• Utilize ArcGIS Pro Plus tools for data visualization and analysis.
• Develop 2D and 3D maps featuring 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.
• Ample exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Belgrade (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.

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 Belgrade (online or on-site) is designed for GIS professionals and analysts from beginner to advanced levels who wish to effectively utilize 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 Belgrade (online or onsite) is designed for advanced GIS professionals who aim to use ArcGIS Pro to boost their spatial analysis capabilities, conduct thorough geostatistical analysis, and apply advanced 3D modeling techniques for better decision-making and problem-solving in real-world contexts.

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 Belgrade (online or onsite) is designed for beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

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

This instructor-led live training in Belgrade (available 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.

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

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Inform business operations with data-driven decision-making.

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

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

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

This instructor-led, live training in Belgrade (online or on-site) 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 Belgrade (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 Belgrade (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

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

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

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

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

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

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to examine large, complex datasets, extracting actionable insights to support strategic decision-making.

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

Upon completing this training, participants will be capable of:

• Designing and implementing large-scale data processing pipelines for both structured and unstructured data.
• Applying advanced machine learning and deep learning techniques to massive datasets.
• Leveraging distributed computing frameworks for real-time analytics and data streaming.
• Integrating 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 participants provide evidence-based answers to the following questions:

What has occurred?

• processing and analyzing data
• creating insightful data visualizations

What will occur?

• forecasting future performance
• assessing forecast accuracy

What should occur?

• converting data into evidence-driven business decisions
• optimizing business processes

This instructor-led, live training in Belgrade (online or on-site) is designed for 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 provides a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

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

Upon completing 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’ organizations.

Course Customization Options

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

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

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

Upon completing 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 recognized, open-source platform designed for statistical computing, data analysis, and visualization. This course provides students with an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced techniques. Participants will learn to perform sophisticated data analytics and create graphs using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Course Format

Lecture-based instruction combined with hands-on practice

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim 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 Belgrade (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 Belgrade (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 Belgrade (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 just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led live training, available online or onsite, is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve large volumes of data.

Upon completing this training, participants will be able to:

• Efficiently query large datasets.
• Understand how big data systems store and retrieve information.
• Utilize the latest big data systems available.
• Transform data from various systems into reporting platforms.
• Write SQL queries in the following environments:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

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

Customization Options

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

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

This instructor-led live training in Belgrade (online or onsite) targets intermediate-level business and IT professionals who want to learn how to write effective acceptance criteria for requirements.

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

• Understand the importance of acceptance criteria.
• Create and verify requirements acceptance criteria.
• Apply different methods for describing acceptance criteria.
• Ensure the quality of analytical artifacts.

This live, instructor-led training (online or in person) is designed for business analysts who want to learn advanced Spotfire Analyst techniques for data analysis.

Upon completing this training, participants will be capable of:

• Sharing visualizations across various team members.
• Securing software access through role-based controls.
• Developing visualizations, including map charts.
• Integrating statistical computing languages like R with Spotfire.

This instructor-led, live training in Belgrade (online or onsite) is designed for field ecologists and conservation managers who want to develop spatial data projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatistical analysis on real-world data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This course focuses on applying data analytic techniques and methodologies to solve business challenges using R, Python, and SQL. It highlights the connection between business needs and data analytics, viewing the latter as a powerful toolkit for addressing business queries and issues.

Target Audience

• Decision-makers, including managers and executives, who wish to leverage data for informed decision-making. Data specialists, marketing professionals, and business consultants aiming to enhance their data interpretation and storytelling capabilities.

Data Analysis for Business Users is a practical, hands-on training designed to help participants work confidently with business data, extract meaningful insights, and support better decision-making. This instructor-led, live training (online or onsite) is aimed at beginner-to-intermediate-level business professionals who wish to use modern analytical techniques and tools to interpret data, identify trends, and communicate insights effectively.

This instructor-led, live training in Belgrade (online or onsite) is designed for data scientists, data analysts, and business analysts who aim to clean and process data efficiently.

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

• Formulate an effective data cleaning strategy.
• Utilize appropriate tools for data cleaning.
• Achieve results with greater efficiency.
• Learn and apply best practices for data cleaning.

In the rapidly changing energy landscape, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Reliance on disjointed data sources currently introduces substantial operational risks. This intensive 14-day program, held in Melbourne, aims to bridge the divide between electrical engineering and geospatial management.

This foundational course is designed to meet the needs of professionals engaged in Requirements Engineering and Agile methodologies. It targets individuals in roles such as project and IT management, domain experts, system analysts, software developers, Scrum Masters, Product Owners, and members of Agile organizations.

RE@Agile integrates IREB’s perspective on Agile values with the Agile viewpoint on Requirements Engineering values. The curriculum covers the classification and evaluation of Requirements Engineering work products and techniques within an Agile context, as well as Agile work products and techniques in the context of Requirements Engineering. It also addresses essential process elements in Agile product development and highlights the motivation for adopting Agile practices in the development process.

A key focus is the synergy between Requirements Engineering and Agile, specifically examining Agile principles relevant to Requirements Engineering and the Agile mindset in relation to core Requirements Engineering values.

The Examination

This course serves as the basis for the RE@Agile Primer examination. Candidates can choose from two examination formats:

• A proctored multiple-choice examination leading to an official RE@Agile Primer certificate. This format is similar to the CPRE Foundation Level and Advanced Level multiple-choice examinations but has a duration of 40 minutes.
• An online multiple-choice self-assessment that provides a confirmation of participation.

This Advanced Level Module, RE@Agile, is designed for Requirements Engineers and agile practitioners. It concentrates on understanding and implementing practices and techniques from the Requirements Engineering discipline within agile development processes. Additionally, it covers grasping and applying concepts, techniques, and key process elements of agile approaches in Requirements Engineering processes.

The Examination

This course is designed to prepare participants for the Advanced Level certification exams in the following areas:

• RE@Agile - Practitioner (the certificate involves a multiple-choice exam)
• RE@Agile - Specialist (the certificate involves a written assignment)

This three-day course is conducted as a live, instructor-led session, available either online (remote) or in-person (classroom).

Target Audience:

The Advanced Requirements Management course is designed for professionals working in requirements engineering, business analysis, business engineering, organizational design, and related fields who wish to expand their knowledge and skills in requirements management.

Examination Details:

Additional examination fees may apply.

The “IREB Certified Professional for Requirements Engineering – Advanced Level (Management)” certification exam includes the following components:

CPRE Advanced Level (Management) – Practitioner

• Earning the Requirements Management - Practitioner certificate requires passing a multiple-choice examination.

CPRE Advanced Level (Management) – Specialist

• Earning the Requirements Management - Specialist certificate requires completing a written assignment.

This course is conducted as a live, instructor-led program, available in both online (remote) and onsite (classroom) formats.

The Certified Professional for Requirements Engineering (CPRE) certification is designed for professionals engaged in Requirements Engineering, Business Analysis, and Testing. The curriculum covers the core principles of the Requirements Engineering domain, along with established methodologies and practical techniques.

The certification framework is established by the IREB, and the CPRE examination can be taken through approved certification bodies.

Who is this course for?

This course is ideal for anyone involved in Requirements Engineering, Business Analysis, or software and systems development. The Foundation Level covers essential topics such as eliciting requirements and documenting them appropriately, verifying and validating requirements, and managing them throughout the entire product lifecycle.

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

• demonstrate familiarity with the terminology used in Requirements Engineering, Business Analysis, and Requirements Management.
• understand fundamental Requirements Engineering techniques and methods, as well as their practical application.
• become familiar with widely established notations for specifying requirements.

KNIME Analytics Platform stands out as a premier open-source solution for data-driven innovation. It empowers users to uncover the hidden potential within their data, extract fresh insights, and predict 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 toolbox for any data scientist or business analyst.

This course offers beginners, advanced users, and KNIME experts alike an excellent opportunity to become familiar with KNIME, enhance their proficiency in using it, and learn how to generate clear, comprehensive reports based on KNIME workflows.

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

The program is specifically tailored for individuals who may not have a programming background but wish to utilize state-of-the-art tools to implement analytics scenarios.

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

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

Format of the Course

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

Course Customization Options

• For customized training requests or further information about this program, please contact us to arrange.

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

This instructor-led live training held in Belgrade (available online or onsite) is aimed at data scientists who want to utilize Python and R to extend KNIME's functionality.

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

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

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

Snowflake is a cloud-native data warehousing platform that provides extensive capabilities for processing and analyzing large-scale datasets. As a Software-as-a-Service (SaaS) solution, it combines the flexibility and scalability of the cloud with the power of an advanced data warehouse. Key features and functionalities of Snowflake include:

Cloud-Native Architecture: Built entirely in the cloud, Snowflake is optimized for flexibility and high performance, enabling effortless scaling of data storage and processing resources.

Decoupled Storage and Compute: Snowflake’s unique architecture separates data storage from compute workloads, allowing these two components to be scaled and optimized independently.

Support for Diverse Data Types: Snowflake facilitates the storage and analysis of various data formats, including structured, semi-structured (e.g., JSON, XML), and unstructured data.

High Performance and Query Optimization: The platform delivers rapid query processing with automatic optimization, enabling efficient execution of complex analyses on vast datasets.

Security and Access Control: Snowflake offers robust security features, including data encryption, role-based access management, and comprehensive auditing capabilities.

Seamless Integration: The platform integrates effortlessly with popular ETL, BI, and data analysis tools and services, supporting the creation of holistic analytical solutions.

Cost Efficiency and Scalability: A usage-based pricing model allows for cost optimization by ensuring users pay only for the resources they actually consume.

Versatile Application Scope: Snowflake is suitable for a wide range of use cases, from standard BI analyses to advanced data processing scenarios, including big data analytics and machine learning.

Snowflake is widely adopted by organizations of all sizes due to its flexibility, performance, ease of use, and adaptability to diverse business and technological requirements.

This instructor-led, live training in Belgrade (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 Belgrade (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 course on Training Needs Analysis provides participants with a comprehensive overview of best practices, including the tools, tips, and techniques necessary to deliver a world-class training function. Attendees will gain a complete set of tools and case studies that can be easily applied back in the workplace.