Data Analysis Training in Varna

This instructor-led, live training in Varna (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 is a comprehensive, data-driven platform that unifies big data capabilities, artificial intelligence, and governance into a single, cohesive solution. Its Rocket and Intelligence modules empower organizations to perform rapid data exploration, transformation, and sophisticated analytics within enterprise settings.

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

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

• Efficiently navigate and utilize the Stratio platform, specifically the Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analytical processes.
• Implement loops and conditional logic to manage data workflows and execute feature engineering tasks.
• Develop and manage user-defined functions (UDFs) to create reusable data operations within PySpark.

Training Format

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

Customization Options

• For customized training arrangements for this course, please contact us directly.

Data-informed decision-making 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 live, instructor-led training in Varna (online or onsite) is designed for intermediate-level data professionals who want 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 to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within the realms of public service delivery and governance.

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

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

• Grasp the foundations of digital intelligence and its application to public sector work.
• Employ digital tools to collect, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective team or department.
• Develop a roadmap for enhancing digital capacity and implementing data-driven practices.

Format of the Course

• Interactive lectures and discussions.
• Hands-on practice with digital tools and dashboard mockups.
• Guided exercises centered on real-world public service use cases.

Course Customization Options

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

Data Storytelling is the practice of employing visual and narrative techniques to convert complex datasets into clear, compelling narratives that inform and inspire action.

This instructor-led, live training (available online or onsite) is targeted at public sector professionals who work with data but have limited or informal training in data storytelling, aiming 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.
• Leverage 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 application of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

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

Upon completion of this instructor-led, live training in Varna, participants will acquire a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

Through hands-on exercises, participants will have the opportunity to apply this knowledge directly. Group interaction and feedback from the instructor are key components of the class experience.

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

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

This instructor-led live training, available in both online and onsite formats, is designed for intermediate-level GIS professionals seeking to enhance their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus.

Upon completing this training, participants will be equipped to:

• Utilize ArcGIS Pro Plus tools for effective data visualization and analysis.
• Design advanced 2D and 3D maps employing sophisticated symbology and geoprocessing methods.
• Automate complex workflows through ModelBuilder and Python scripting.
• Seamlessly integrate ArcGIS with external data services and enterprise systems.

Course Format

• Interactive lectures accompanied by group discussions.
• Extensive hands-on exercises and practice sessions.
• Practical implementation within a live laboratory environment.

Customization Options

• For tailored training solutions, please reach out to us to make arrangements.

This instructor-led, live training in Varna (online or onsite) targets 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 Varna (available online or on-site) is designed for GIS professionals and analysts, from beginner to advanced levels, 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, conducted in Varna (online or onsite), targets data engineers and analysts eager to learn beginner to intermediate-level skills for setting up data pipelines using AWS Glue.

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

• Understand the core principles of AWS Glue.
• Configure an AWS Glue pipeline.
• Establish AWS Glue crawlers and jobs.
• Utilize AWS Glue transformations effectively.

This instructor-led, live training in Varna (online or onsite) targets advanced-level GIS professionals who want to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for better 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 Varna (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

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

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

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

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

This instructor-led, live training in Varna (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 Varna (online or on-site) is designed for analysts who wish to use TM1 to analyze and customize reports and templates for database data.

Upon completing this training, participants will be capable of:

• Analyzing data effectively using IBM Planning Analytics.
• Developing custom views for database data.
• Constructing reports and forms that integrate with TM1.

This instructor-led, live training in Varna (online or on-site) is designed for intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization tasks.

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 Varna (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to upgrade their SQL skills by mastering Analytic Functions.

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

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

This instructor-led, live training in Varna (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:

• 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 Varna (online or onsite) is designed for data analysts and data scientists who intend to utilize the MongoDB Aggregation Framework for data analysis, with a focus on simplifying complex operations and aggregation pipelines.

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

• Install and configure MongoDB for data analysis.
• Understand the core concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply optimization tools and techniques to improve aggregation performance.

This instructor-led, live training in Varna (online or onsite) is designed for beginner-level professionals in earth sciences and engineering who wish to use 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.

This instructor-led live training in Varna (online or onsite) targets intermediate-level environmental scientists and archaeologists who wish to learn how to utilize ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.

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

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

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to analyze 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 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 Varna (online or on-site) targets data analysts and anyone interested in utilizing SPSS Modeler for data mining tasks.

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.

Upon completion of this instructor-led, live training in Varna, participants will acquire a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

The course offers participants the chance to apply this knowledge through hands-on exercises. Active group interaction and direct feedback from the instructor are essential components of the learning experience.

The curriculum begins by introducing the fundamental concepts of Big Data, then advances to the programming languages and methodologies employed for Data Analysis. Finally, the discussion covers the tools and infrastructure that support Big Data storage, distributed processing, and scalability.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language. It covers fundamental language concepts, libraries, and advanced techniques. Participants will learn advanced data analytics and visualization using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Practice

Target Audience

This course is designed for analysts, researchers, scientists, postgraduate students, and anyone eager to master statistical analysis techniques within Microsoft Excel.

Course Objectives

By completing this course, participants will enhance their proficiency in both Excel and statistics, thereby boosting the efficiency and effectiveness of their professional work or academic research.

The curriculum covers the utilization of the Analysis ToolPak in Microsoft Excel, essential statistical functions, and fundamental statistical procedures. It also addresses common Excel limitations and provides strategies to overcome them.

Data analytics is a vital asset for modern businesses. This course concentrates on building practical skills for hands-on data analysis, empowering participants 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 Varna (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 guided, live training session (available online or in-person) is designed for HR professionals looking to leverage analytical methods to enhance organizational performance. The curriculum encompasses both qualitative and quantitative approaches, including empirical and statistical techniques.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and hands-on practice.

Customization Options

• To arrange a tailored training program for this course, please contact us to discuss your specific needs.

This instructor-led, live training in Varna (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

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

• Install and configure Cloud Pak for Data.
• Unify the collection, organization, and analysis of data.
• Integrate Cloud Pak for Data with a variety of services to solve common business problems.
• Implement workflows for collaborating with team members on the development of an AI solution.

In this instructor-led, live training in Varna (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

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

• Install and configure packages for integrating Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions from Excel.

This instructor-led, live training in Varna (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

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

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

This instructor-led live training, delivered Varna (online or onsite), is intended for developers and administrators who aim to utilize OpenSearch for distributed search and data analytics in a cohesive and secure system.

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

• Set up the necessary development environment to begin 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 Varna (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 in Varna (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

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

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

This course is designed to deliver a comprehensive understanding of SQL usage across various database systems, 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 tasks from MS Excel to the database layer. This approach not only enhances analytical capabilities but also supports the development of IT systems that rely on relational databases.

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

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

• Distributing visualizations among various team members.
• Securing software access through role-based permissions and access controls.
• Generating visualizations such as map charts.
• Integrating statistical computing languages like R with Spotfire.

This instructor-led, live training in Varna (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.

Upon completing this training, participants will gain the ability to:

• Comprehend GIS concepts and spatial data types using the most recent version of ArcGIS Pro.
• Navigate the user interface and assess its practical applications.
• Explore ArcGIS Pro and learn how to leverage online resources.
• Manage, manipulate, and analyze personal datasets.
• Present and share data in engaging and creative ways.

Note: The latest version of ArcGIS Pro will be utilized throughout the course.

This instructor-led, live training in Varna (online or onsite) is designed for GIS analysts seeking to automate repetitive tasks in GIS processes.

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

• Develop GIS applications using Python and ArcGIS tools.
• Code with the ArcPy package for ArcGIS using Python.
• Utilize ArcGIS modules to automate mapping tasks through Python object classes.

This program 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, positioning the latter as a practical toolkit for addressing business questions and problems.

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

KNIME Analytics Platform stands as a premier open-source solution for driving data-driven innovation. It empowers users to uncover hidden potential within their data, extract fresh insights, and predict future trends. Equipped with over 1000 modules, hundreds of ready-to-execute examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms available, KNIME Analytics Platform serves as the ideal toolkit for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to become familiar with the platform, learn how to utilize it more efficiently, and develop clear, comprehensive reports based on KNIME workflows.

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

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

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, KNIME installation and configuration, workflow construction, methodologies for building business models and data modeling. The course also explores 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 addresses reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Varna (online or on-site) is aimed at data scientists who wish to program in Python and R for KNIME.

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

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

This instructor-led, live training in Varna (online or onsite) targets data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software.

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

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

This instructor-led, live training in Varna (online or onsite) is designed for business analysts and data analysts who wish to master fundamental Spotfire Analyst techniques for analyzing data.

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

• Install and configure TIBCO Spotfire.
• Integrate data from multiple databases.
• Visualize large datasets.
• Design and distribute complex dashboards.

This instructor-led, live training in Varna (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 Varna (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.