Business Intelligence Training in Slovakia

WrenAI empowers organizations to shift from static dashboards to conversational analytics and embedded generative BI. This evolution demands strategic adoption planning, thorough asset migration, and robust change management practices.

This instructor-led, live training (available online or onsite) is designed for intermediate-level BI and data platform professionals looking to modernize their legacy BI systems using WrenAI.

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

• Assessing legacy BI environments to pinpoint modernization opportunities.
• Planning and executing the transition from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI features.
• Leading organizational change management efforts for BI modernization.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs covering conversational analytics and embedded GenBI.

Customization Options

• For customized training requests, please reach out to us to make arrangements.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner-level financial analysts aiming to effectively integrate AI into their data analysis processes.

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

• Understand the application of AI in data analysis specific to the financial industry.
• Develop skills to build predictive and prescriptive models for financial analysis.
• Learn how to implement machine learning algorithms for financial data processing.
• Enhance data visualization and interpret complex AI-driven insights for decision-making.

This instructor-led, live training in Slovakia (online or onsite) targets intermediate-level data and business analysts aiming to create, manage, and administer dashboards using Amazon QuickSight.

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

• Grasp the advantages, use cases, and core features of Amazon QuickSight.
• Connect QuickSight to various data sources and author interactive data visualizations and dashboards.
• Implement security measures and access controls within QuickSight.
• Leverage the built-in machine learning capabilities of QuickSight to gain deeper data insights.
• Design, create, and customize QuickSight dashboards to effectively extract and visualize business insights.

This instructor-led, live training in Slovakia (online or on-site) is designed for intermediate-level data and business analysts who wish to use BIRT to effectively create and deploy business intelligence reports.

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

• Understand the architecture and components of the BIRT framework.
• Design and create informative, dynamic reports using BIRT Report Designer.
• Use BIRT’s scripting capabilities to add business logic to reports.
• Optimize and deploy BIRT reports within web applications and standalone applications.

This instructor-led, live training in Slovakia (online or onsite) is tailored for beginner-level business and data analysts who wish to leverage Oracle BI to extract valuable insights from their data.

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

• Navigate and utilize the Oracle BI interface effectively.
• Create and customize reports and dashboards tailored to business needs.
• Conduct ad-hoc analysis using various BI tools.
• Utilize advanced features for comprehensive data exploration.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner-level business analysts and data analysts who want to leverage the power of SAS BI to extract meaningful insights from data.

Upon completing this training, participants will be able to:

• Effectively navigate and use the SAS BI interface.
• Develop customized reports and dashboards that meet specific business requirements.
• Perform ad-hoc analysis using various BI tools.
• Utilize advanced features for thorough data exploration.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate data analysts who want to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables.

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

• Connect to multiple types of data sources (Excel, CSV, databases, cloud-based) and understand the distinctions between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends.
• Create basic visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative.

This instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights.

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

• Navigate and use the SAP BusinessObjects BI interface.
• Create and customize business reports and dashboards.
• Perform ad-hoc analysis using various BI tools.
• Utilize advanced features for in-depth data exploration.

Google Sheets is a robust, cloud-based spreadsheet solution designed to facilitate real-time collaboration, efficient data organization, and comprehensive analysis.

This instructor-led training session, available both online and onsite, is tailored for beginner to intermediate professionals seeking to enhance their productivity and collaborative capabilities through the advanced features of Google Sheets.

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

• Navigate and effectively utilize the core functionalities of Google Sheets.
• Organize and manage data efficiently by employing filters, sorting techniques, and formatting tools.
• Implement fundamental and advanced formulas to address complex business scenarios.
• Develop charts, dashboards, and reusable templates to support reporting and collaborative workflows.

Course Delivery Format

• Interactive lectures and group discussions.
• Practical, hands-on exercises within the Google Sheets environment.
• Application of real-world examples and collaborative team activities.

Options for Course Customization

• For inquiries regarding customized training for this course, please contact us to arrange specific details.

Pentaho Data Integration serves as a robust platform for creating enterprise-grade ETL processes and data pipelines.

This instructor-led live training, available online or onsite, targets advanced engineers aiming to master high-performance, enterprise-scale, and heavily automated PDI solutions.

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

• Architect large-scale ETL pipelines with sophisticated orchestration.
• Optimize complex transformations to ensure high performance.
• Apply scripting, automation, and hybrid integration patterns.
• Design robust, maintainable workflows ready for production.

Course Format

• Demonstrations and architectural discussions led by experts.
• Extensive lab work addressing advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Customization Options

• Please contact us if you need a customized version of this training.

This instructor-led, live training in Slovakia (offered online or onsite) is designed for intermediate-level participants who aim to master advanced data integration and visualization techniques in Looker Studio. Attendees will learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to support better business decisions.

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

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customization.

Alteryx Designer is a visual data preparation and analytics platform that allows users to blend, transform, and automate data workflows with minimal coding.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to learn practical Alteryx skills for data preparation, blending, basic analytics, and workflow automation.

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

• Build Alteryx workflows for common data preparation tasks.
• Combine and parse data from multiple sources and formats.
• Create and use standard macros to encapsulate reusable logic.
• Organize and automate workflows using best-practice techniques.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on exercises using Alteryx Designer and sample data.
• Practical mini-projects and workflow automation tasks.

Course Customization Options

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

This instructor-led live training, conducted Slovakia (online or onsite), targets consultants and finance professionals from beginner to advanced levels who wish to prepare for the Cognos Analytics certification. The program provides specialized training in financial data analysis, including modules for accounts payable, treasury, and expenses.

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

• Navigate the Cognos Analytics interface with efficiency.
• Develop and customize financial reports and dashboards.
• Manage data models and optimize queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in Slovakia (online or on-site) is designed for beginner to intermediate-level professionals who wish to enhance their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

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

• Navigate and utilize the core features of Excel and Google Sheets.
• Perform data analysis and create actionable insights using advanced spreadsheet techniques.
• Collaborate in real-time using Google Sheets for seamless teamwork.
• Create reusable templates for reporting, tracking, and project management.

Microsoft Fabric serves as a comprehensive analytics platform that consolidates data engineering, integration, warehousing, science, real-time analytics, and business intelligence into a single solution.

This instructor-led training, available online or in-person, is designed for intermediate data professionals seeking to utilize Microsoft Fabric to construct modern data solutions featuring integrated analytics, governance, and visualization capabilities.

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

• Comprehend Microsoft Fabric components and their integration within the Microsoft ecosystem.
• Establish and oversee Fabric Workspaces with appropriate access controls.
• Develop and maintain Lakehouses to centralize and analyze data.
• Utilize notebooks for exploratory analysis and data transformation via Python and SQL.
• Generate and automate data flows through visual pipelines.
• Model and manage data using the Data Warehouse and Semantic Model layers.
• Design and deploy interactive dashboards using Power BI within Fabric.

Course Format

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

Customization Options

• For customized training requests, please reach out to us to make arrangements.

Pentaho Data Integration serves as a comprehensive platform for data extraction, transformation, and loading (ETL).

This instructor-led live training, available both online and onsite, is designed for intermediate practitioners looking to elevate their PDI capabilities for handling more complex transformation scenarios.

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

• Design multi-step transformations optimized for improved performance.
• Utilize variables, parameters, and reusable components effectively.
• Integrate PDI seamlessly with databases, APIs, and external systems.
• Implement best practices to ensure ETL pipelines are maintainable and scalable.

Course Format

• Interactive demonstrations accompanied by detailed instructor explanations.
• Guided exercises and practice sessions based on real-world scenarios.
• Hands-on experience within a realistic ETL project environment.

Customization Options

• For tailored versions of this course, please reach out to us for customization.

Qlik Cloud is a software-as-a-service (SaaS) analytics platform designed to help developers create, automate, and manage data-driven insights across various cloud environments.

This instructor-led training, available online or on-site, targets intermediate to advanced developers looking to design, build, and deploy scalable analytics solutions using Qlik Cloud.

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

• Deploying and managing data models and visualizations within Qlik Cloud.
• Utilizing Qlik Application Automation to streamline workflows and processes.
• Integrating APIs and external data sources with Qlik Cloud.
• Implementing governance, security, and collaboration features in a multi-tenant setup.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led live training in Slovakia (online or onsite) is aimed at intermediate-level IT administrators who wish to use Splunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and leverage Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

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

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilize Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

WrenAI empowers SaaS providers to seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course is designed to equip SaaS teams with the expertise needed to utilize the Wren AI Embedded API, configure white-label analytics solutions, and effectively manage multi-tenant environments.

This instructor-led, live training—available both online and onsite—targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers aiming to deploy WrenAI as an embedded analytics solution within their SaaS ecosystems.

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

• Integrating WrenAI via the Embedded API for applications directed at customers.
• Implementing white-label conversational BI with tailored branding and customization options.
• Architecting secure and scalable multi-tenant deployments.
• Monitoring usage metrics, optimizing performance, and ensuring compliance within SaaS environments.

Course Format

• Interactive lectures and group discussions.
• Practical labs focusing on the WrenAI Embedded API.
• Workshop session: Design and deploy a white-label analytics feature tailored to a specific SaaS use case.

Customization Options for the Course

• For customized training arrangements, please contact us to discuss your specific needs.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level database professionals who wish to enhance their skills to create complex reports, customize report templates, and integrate JasperReports with other systems.

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

• Design complex, multi-page reports with advanced layouts, fixed forms with variable sections, and dynamic content.
• Create advanced charts, graphs, and pivot tables to visualize data, and integrate subreports and grouping for detailed data representation.
• Implement security measures, manage user permissions, and utilize JasperReports Server for report scheduling and distribution.

This instructor-led live training in Slovakia (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer.

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

• Learn to use and configure all the tools in the developer tab.
• Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

This instructor-led, live training in Slovakia (available online or onsite) is designed for data analysts or anyone wishing to use AWS QuickSight for data analysis and visualization.

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

• Understand the basic concepts of AWS QuickSight.
• Use AWS QuickSight to create data analysis, reports, and insights.
• Use AWS to create relationships between data for enhanced analysis.
• Learn different types of visualizations in understanding data.

This instructor-led live training in Slovakia (online or onsite) is designed for intermediate-level data analysts seeking to understand the theoretical underpinnings of Cognos 11 and master its practical application.

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

• Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
• Utilize the improved data module and data management features for more efficient data handling.
• Implement best practices for a smooth transition and optimal use of Cognos 11.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric.

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

• Understand the architecture and components of Microsoft Fabric.
• Configure and manage a Lakehouse using Microsoft Fabric.
• Ingest and transform data using Apache Spark.
• Utilize Delta Lake tables for versioning and managing data.
• Implement data ingestion pipelines with Dataflows Gen2.
• Orchestrate data pipelines using Data Factory.

This instructor-led live training in Slovakia (online or on-site) is aimed at data analysts who wish to use Google Sheets for data analysis.

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

• Build spreadsheets with Google Sheets.
• Use formulas that work both in Google Sheets and Excel.
• Format and analyze any data.
• Create data visualizations with charts and graphs.

This guided, live training in Slovakia (online or on-site) is designed for beginner to intermediate learners who want to establish foundational skills in data visualization and reporting using Looker Studio. The curriculum focuses on connecting data sources, visualizing information effectively, and deriving actionable insights.

Upon completion, participants will be able to:

• Grasp the essential features of Looker Studio and applicable use cases.
• Configure Looker Studio and establish connections with diverse data sources.
• Develop compelling dashboards featuring charts, graphs, and filters.
• Tailor reports to meet specific audience requirements and business objectives.
• Collaborate on and distribute dashboards efficiently.

Pentaho Data Integration is an open-source tool designed for defining jobs and data transformations.

This instructor-led live training enables participants to master the powerful ETL capabilities and rich GUI of Pentaho Data Integration, allowing them to manage the entire big data lifecycle and maximize data value within their organizations.

Upon completion, participants will be able to:

• Create, preview, and execute basic data transformations using steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Consolidate disparate data sources into a single, unified, analytics-ready version of the truth
• Deliver results to third-party applications for further processing

Audience

• Data Analysts
• ETL Developers

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Qlik Sense Enterprise is a scalable, enterprise-grade analytics platform designed for data visualization, exploration, and embedded analytics.

This instructor-led, live training (available online or onsite) targets intermediate to advanced developers who want to build, manage, and extend analytics applications using Qlik Sense Enterprise.

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

• Design and develop interactive dashboards and visualizations using Qlik Sense Enterprise.
• Implement and optimize data models and scripting for large-scale datasets.
• Automate data reloads, manage security rules, and integrate APIs.
• Deploy and maintain enterprise-level Qlik environments while adhering to performance and governance best practices.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1.

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

• Perform advanced searches using Splunk’s powerful search commands and capabilities.
• Leverage subsearches, statistical commands, and evaluation functions to analyze data effectively.
• Create sophisticated reports and dashboards with advanced visualization options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led live training in Slovakia (online or onsite) is designed for data scientists and developers who want to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

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

• Establish the required environment to conduct data analysis using SQL, Python, and Tableau.
• Grasp the core principles of software integration (including data, servers, clients, APIs, and endpoints).
• Reviewing the fundamentals of Python and SQL.
• Applying data pre-processing techniques in Python.
• Connecting Python with SQL for effective data analysis.
• Developing meaningful data visualizations and charts using Tableau.

This instructor-led, live training in Slovakia (online or onsite) targets intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

Upon completing this training, participants will be capable of:

• Effectively employing Stata for data analysis and statistical modeling.
• Comparing Stata’s functionalities with those of SPSS and R.
• Integrating Stata with R to enable seamless statistical computing.
• Developing and automating workflows using both Stata and R.

This instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to set up and manage Apache Superset for their organizations.

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

• Install and configure Apache Superset.
• Understand the architecture and features of Superset.
• Manage user access and security settings.
• Monitor and optimize the performance of Superset instances.
• Troubleshoot common issues and perform regular maintenance.

WrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.

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

• Design conversational analytics workflows that surface reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Use natural-language to SQL features effectively to answer product questions.
• Embed WrenAI-driven self-service dashboards and guardrails in product workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Wren AI and sample datasets.
• Workshop: build a self-service dashboard and conversational query set.

Course Customization Options

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

The "Big Data and AI in Banking" training program is tailored to provide banking professionals with the vital skills and knowledge required to leverage Big Data and artificial intelligence effectively. Throughout the course, participants will delve into fundamental concepts, key technologies, and real-world applications of these tools within the financial sector. The curriculum combines theoretical lessons, case study analysis, practical exercises, and in-depth discussions covering regulatory impacts, ethical issues, and industry best practices.

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

1. Grasping Core Concepts: Establishing a solid understanding of Big Data and AI, emphasizing their critical role in the banking industry.
2. Discovering Technologies: Introducing attendees to essential Big Data technologies such as Hadoop and Spark, along with the significance of NoSQL databases.
3. Utilizing Data Sources: Guiding participants in identifying and exploiting various internal and external data resources to streamline banking operations.
4. Applying AI Solutions: Demonstrating how AI techniques can be employed in bank examinations, including risk assessment, fraud detection, and predictive modeling.
5. Executing Data Analytics: Providing participants with the expertise to apply data analytics methods for identifying trends and managing risks within banking environments.
6. Navigating Ethical Issues: Examining the ethical implications of Big Data and AI in banking and highlighting the necessity of regulatory compliance.
7. Anticipating Future Developments: Preparing participants to adapt to future technological advancements and formulate strategies for integrating Big Data and AI into banking workflows.

Technological advancements and the exponential growth of information are reshaping business operations across various sectors, including government. The volume of data generated by government entities and the rate of digital archiving are increasing rapidly, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands in complexity, managing, processing, storing, securing, and disposing of it becomes increasingly challenging. New tools for capturing, searching, discovering, and analyzing data are enabling organizations to derive valuable insights from unstructured data. The government sector is at a critical juncture, recognizing information as a strategic asset. Agencies must now protect, leverage, and analyze both structured and unstructured information to better serve the public and meet mission objectives. As government leaders work to transform their organizations into data-driven entities, they are establishing the framework to correlate dependencies across events, people, processes, and information.

High-impact government solutions are emerging from the integration of several disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data represents a transformative industry solution that enables governments to make better decisions by acting on patterns identified through the analysis of vast volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these results requires more than just collecting large amounts of data. "Making sense of these volumes of Big Data requires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information," noted Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House took significant steps to assist agencies in identifying these technologies by launching the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to maximize the potential of the Big Data explosion and the necessary analytical tools.

The challenges presented by Big Data are as formidable as its promise is encouraging. Efficiently storing data is one such challenge. With budgets always under pressure, agencies must minimize storage costs per megabyte while ensuring data remains easily accessible so users can retrieve it whenever and however they need it. Backing up massive data volumes further complicates this task.

Effective data analysis poses another major challenge. Many agencies utilize commercial tools to sift through vast amounts of data, identifying trends that enhance operational efficiency. (A recent MeriTalk study found that federal IT executives believe Big Data could help agencies save over $500 billion while fulfilling mission objectives.)

Custom-developed Big Data tools are also enabling agencies to address their analytical needs. For instance, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has helped medical researchers identify links that alert doctors to aortic aneurysms before they occur. It is also used for routine tasks, such as screening resumes to match job candidates with hiring managers.

In this instructor-led, live training in Slovakia, participants will develop the mindset necessary to approach Big Data technologies, evaluate their impact on existing processes and policies, and deploy these technologies to identify criminal activity and prevent crime. We will examine case studies from law enforcement organizations worldwide to gain insights into their adoption strategies, challenges, and outcomes.

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

• Integrate Big Data technology with traditional data gathering processes to reconstruct narratives during investigations.
• Implement industrial-grade big data storage and processing solutions for data analysis.
• Develop a proposal for adopting the most suitable tools and processes to enable a data-driven approach to criminal investigation.

This course teaches how to create reports in Crystal Reports—from data connection to final output. Participants learn filtering, grouping, formulas, and basic SQL. They will also prepare clear reports with charts and export them to various formats.

This instructor-led, live training in Slovakia (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.

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

• Analyze and share insights about data.
• Visualize business performance.
• Use AI-assisted preparation to cleanse and combine data sources.
• Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.

In this instructor-led, live training in Slovakia, participants will learn to use JasperReports to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.

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

• Set up and configure a JasperSoft ETL project
• Design and run an ETL job
• Use iReport to generate charts, images, sub-reports, and cross tabs

This instructor-led live training in Slovakia (available online or onsite) is designed for data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.

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

• Install and configure Metabase to start building data visualizations and dashboards.
• Learn how to query, aggregate, and visualize data in Metabase.
• Use the features and tools in Metabase to write SQL queries.
• Build analytics charts and dashboards to get business insights.
• Know the best practices and tips on using Metabase and resolving common issues.

In this instructor-led live training in Slovakia (online or onsite), participants will learn how to use MicroStrategy to access various data sources, then generate reports and dashboards for analysis.

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

• Install and configure MicroStrategy.
• Use MicroStrategy to perform predictive analytics on large data sets.
• Access and analyze data from data warehouses, Excel files, and Apache Hadoop.
• Create elaborate reports and dashboards.

This instructor-led live training, delivered Slovakia (online or onsite), is designed for developers who wish to use MicroStrategy to build, customize, and embed analytics into web and mobile applications via REST APIs and SDKs.

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

• Configure the necessary development environment to start developing custom apps with MicroStrategy.
• Understand the MicroStrategy features, architecture, and core programming concepts.
• Learn how to use the MicroStrategy Web APIs and SDKs to customize analytical applications.
• Integrate MicroStrategy functionalities into web and mobile applications.
• Execute RESTful API commands to embed MicroStrategy with external applications.
• Get some tips on how to troubleshoot and fix coding issues.

Master the techniques for extracting and transforming data to build interactive dashboards.

Power BI stands as one of the leading Data Visualization and Business Intelligence tools. It comprises a suite of data connectors, applications, and software services designed to retrieve data from various sources, transform it, and generate stunning reports.

Additionally, Power BI enables you to publish your work for your organization, allowing access via mobile devices, tablets, and other platforms. In this Power BI Tutorial, we provide a step-by-step guide to connecting with multiple data sources, performing data transformations, and creating visualizations such as charts, tables, matrices, maps, and more.

This instructor-led, live training in Slovakia (online or on-site) is designed for data analysts who wish to program in SAS for advanced data management, data analysis, and related tasks.

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

• Master the use of macros to write efficient SAS programs.
• Train models and generate predictions on unseen data using predictive modeling techniques.
• Create charts and plots for effective data visualization.

This instructor-led live training in Slovakia (online or on-site) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Splunk.

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

• Install and configure Splunk.
• Collect and index all kinds of machine data.
• Implement real-time search, analysis, and visualization of large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in Slovakia (online or onsite) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk.

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

• Use different data input methods and sources.
• Install, configure, manage and monitor Forwarders.
• Manipulate raw data in Splunk.
• Create a Splunk Diag.

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server tool designed for OLAP (Online Analytical Processing) and data mining, enabling the analysis of data across multiple databases, tables, or files. The semantic data models generated by SSAS serve client applications such as Power BI, Excel, Reporting Services, and various other data visualization tools.

This instructor-led live training, available either onsite or remotely, equips participants with the skills to utilize SSAS for analyzing large volumes of data stored in databases and data warehouses.

Upon completing this training, participants will be able to:

• Install and configure SSAS
• Grasp the relationships between SSAS, SSIS, and SSRS
• Apply multidimensional data modeling to derive business insights
• Design OLAP (Online Analytical Processing) cubes
• Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) language
• Deploy real-world BI solutions leveraging SSAS

Audience

• BI (Business Intelligence) professionals
• Data Analysts
• Database and data warehousing specialists

Format of the Course

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

Course Customization Options

• This training utilizes the latest version of Microsoft SQL Server and SSAS.
• To request a customized training session for this course, please contact us to arrange it.

This instructor-led, live training in Slovakia (online or onsite) is aimed at data analysts who wish to analyze large data sets with Stata.

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

• Create statistical models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large datasets, ready for data analysis.

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

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

• Create statistical models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to prepare for data analysis.

This instructor-led live training, available both online and onsite, is designed for data analysts and data scientists eager to explore, organize, and visualize data using Apache Superset.

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

• Install and configure Apache Superset.
• Combine data from various databases.
• Visualize large datasets.
• Create and share complex dashboards.

Course Format

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

Customization Options

• This training is based on the latest version of Apache Superset.
• To request customized training for this course, please contact us to make arrangements.
• For more information about Apache Superset, visit: https://superset.incubator.apache.org

Upon completing this training, participants will be able to:

This instructor-led, live training located in Slovakia (online or on-site) is designed for data scientists interested in programming in R for Tableau.

• Implement Tableau analytics using R.
• Pass values back to Tableau using R-based learning algorithms.
• Structure and visualize R functions within Tableau.
• Make data-driven decisions for business operations.