Business Intelligence Training in Varna

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

This instructor-led live training (available online or onsite) targets intermediate BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

Upon completing this training, participants will be capable of:

• Assessing legacy BI environments to pinpoint modernization opportunities.
• Strategically planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Leading organizational change management initiatives 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 tailored training solutions, please reach out to us to arrange a schedule.

This instructor-led, live training in Varna (online or onsite) is aimed at intermediate-level data professionals who wish to learn how to use Datameer to prepare, analyze, and visualize data using modern techniques, guided workflows, and the latest Datameer interface.

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

• Create and manage data projects within Datameer's workspace.
• Connect to modern data platforms including Snowflake, cloud storage, and databases.
• Perform data transformation using visual, code-free workflows or SQL.
• Collaborate with teams using metadata management and project sharing.
• Use visual exploration tools to profile and understand datasets.
• Create and share rich data visualizations and dashboards.

This instructor-led, live training in Varna (online or onsite) is aimed at beginner-level financial analysts who wish to integrate AI effectively 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 Varna (online or in-person) is designed for intermediate-level data and business analysts who wish to create, manage, and administer dashboards using Amazon QuickSight.

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

• Grasp the benefits, use cases, and core features of Amazon QuickSight.
• Learn how to connect QuickSight to various data sources and author interactive data visualizations and dashboards.
• Implement security and access controls within QuickSight.
• Utilize the built-in machine learning capabilities of QuickSight to enhance data insights.
• Design, create, and customize QuickSight dashboards to extract and visualize business insights.

This instructor-led, live training in Varna (online or onsite) is aimed at 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 Varna (online or onsite) is designed for beginner-level business and data analysts who want to leverage Oracle BI to derive valuable insights from their data.

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

• Effectively navigate and utilize the Oracle BI interface.
• Create and customize reports and dashboards that align with business needs.
• Conduct ad-hoc analysis using various BI tools.
• Utilize advanced features for comprehensive data exploration.

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

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

• Effectively navigate and utilize the SAS BI interface.
• Create customized reports and dashboards tailored to specific business requirements.
• Perform ad-hoc analysis using various BI tools.
• Utilize advanced features for comprehensive data exploration.

This instructor-led, live training in Varna (online or onsite) is designed for beginner-level business and data analysts who wish to gain 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.

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

This guided, live training session—available online or on-site—is designed for senior engineers aiming to master high-performance, enterprise-scale, and highly automated PDI solutions.

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

• Design large-scale ETL pipelines featuring advanced orchestration capabilities.
• Optimize intricate transformations to ensure peak performance.
• Deploy scripting, automation, and hybrid integration strategies.
• Construct reliable, maintainable, and production-ready workflows.

Course Format

• Demonstrations led by experts coupled with architectural discussions.
• In-depth laboratory exercises addressing complex, real-world ETL challenges.
• Practical development within a production-simulated environment.

Customization Options

• Reach out to us if you need a tailored version of this training.

This instructor-led, live training in Varna (online or onsite) is designed for intermediate-level participants who want to master advanced data integration and visualization techniques in Looker Studio. They will learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to drive 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 enables 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 in Varna (online or onsite) is designed for consultants and finance professionals from beginner to advanced levels who wish to prepare for the Cognos Analytics certification and gain specialized knowledge in financial data analysis, including modules for accounts payable, treasury, and expenses.

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

• Navigate and utilize the Cognos Analytics interface efficiently.
• 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 Varna (online or onsite) is designed for beginner to intermediate-level professionals who want to boost their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for organizing, analyzing, and sharing data.

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 generate 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.

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

This instructor-led live training, available either online or onsite, is designed for intermediate-level practitioners looking to elevate their PDI capabilities to handle more complex transformation scenarios.

Upon completing this training, participants will be able to:

• Design multi-step transformations with improved performance.
• Work with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Apply best practices for maintainable and scalable ETL pipelines.

Format of the Course

• Interactive demos and instructor explanations.
• Guided exercises and scenario-based practice.
• Hands-on work in a real-world ETL project environment.

Course Customization Options

• If you need a tailored version of this course, please contact us to customize it.

Qlik Cloud is a software-as-a-service (SaaS) analytics platform that empowers developers to create, automate, and oversee data-driven insights within cloud ecosystems.

This instructor-led, live training session (available online or on-site) is designed for intermediate to advanced developers aiming to design, construct, and deploy scalable analytics solutions utilizing Qlik Cloud.

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

• Deploying and managing data models and visualizations in Qlik Cloud.
• Utilizing Qlik Application Automation for streamlining workflows and processes.
• Integrating APIs and external data sources with Qlik Cloud.
• Implementing governance, security, and collaboration capabilities in a multi-tenant setting.

Course Format

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

Course Customization Options

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

This instructor-led live training in Varna (online or onsite) is designed for developers and system administrators who want to learn and apply Sisense for big data manipulation and visualization.

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

• Understand the fundamental concepts and workings of Sisense.
• Create Sisense dashboards to visualize big data and drive business decisions.
• Merge and manage data from multiple sources.
• Use Sisense for rapid data manipulation and visualization.

This instructor-led, live training in Varna (online or onsite) targets 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.

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

• Understand and manage the entire Splunk infrastructure.
• Master Splunk architecture and its components.
• Effectively troubleshoot common and advanced issues.
• Maximize Splunk’s potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly into their customer-facing applications. This course provides SaaS teams with the essential skills to integrate WrenAI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

Delivered as an instructor-led live training (available online or onsite), this program is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS ecosystems.

Upon completing this training, participants will be equipped to:

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with customized branding and design.
• Design secure and scalable multi-tenant deployment architectures.
• Monitor usage metrics, optimize performance, and ensure regulatory compliance in SaaS environments.

Course Format

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

Customization Options

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

This instructor-led, live training in Varna (available online or onsite) targets intermediate-level database professionals aiming to expand their skills in creating complex reports, customizing templates, and integrating 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 Varna (online or onsite) is tailored for data scientists and analysts who wish to master the use of every tool in the developer tool palette of Alteryx Designer.

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

• Use and configure all tools in the developer tab.
• Design efficient workflows in Alteryx utilizing dynamic, validation, and testing tools.
• Learn to employ API tools for downloading and parsing web data.
• Use Alteryx scripting tools, including Python and R.

This instructor-led, live training in Varna (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight 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 Varna (online or onsite) is designed for intermediate data analysts who want to understand the theoretical aspects of Cognos 11 and learn how to use it effectively.

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 guided, live training in Varna (online or in-person) is aimed at beginner to intermediate participants who wish to build foundational skills for data visualization and reporting using Looker Studio, and learn how to connect data sources, visualize information effectively, and gain actionable insights.

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

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customize reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

Pentaho Data Integration is an open-source tool designed for data integration, enabling users to define jobs and data transformations.

During this instructor-led live training, participants will discover how to leverage the robust ETL capabilities and comprehensive GUI of Pentaho Data Integration to manage the entire big data lifecycle and maximize the value of data within their organization.

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

• Create, preview, and execute basic data transformations involving steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Unify disparate data sources into a single, consistent version of the truth in an analytics-ready format.
• Deliver results to third-party applications for further processing

Audience

• Data Analysts
• ETL Developers

Course Format

• A blend 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) is tailored for intermediate to advanced developers who aim to build, manage, and extend analytics applications using Qlik Sense Enterprise.

Upon completing this training, 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 with performance and governance best practices.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Varna (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:

• Conduct advanced searches using Splunk's powerful search commands and capabilities.
• Utilize subsearches, statistical commands, and evaluation functions to analyze data.
• 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 Varna (online or onsite) is aimed at intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

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.

This extensive training program provides participants with the essential theoretical foundation and hands-on expertise needed to construct, administer, and analyze business intelligence (BI) solutions leveraging contemporary Microsoft technologies. The curriculum centers on SQL Server (covering features from versions 2017, 2019, and 2022) and Azure Analysis Services (AAS), addressing the complete data analytics lifecycle from ingestion to visualization.

Attendees will acquire the skills to architect and implement modern data warehousing solutions, develop resilient ETL/ELT pipelines via SQL Server Integration Services (SSIS), construct sophisticated analytical models using SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and generate insightful reports and visual representations. The program strongly emphasizes the utilization of in-memory processing, cloud integration capabilities, and advanced query languages.

This instructor-led, live training in Varna (online or onsite) is designed for data analysts, data scientists, and data engineers who wish to perform advanced data search, analytics, and visualization using Splunk.

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

• Develop a Splunk application and a technology add-on.
• Utilize various data input methods and sources.
• Implement advanced search, analysis, and visualization of large datasets.
• Customize and share dashboards and reports.

This instructor-led, live training in Varna (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

This instructor-led, live training in Varna (online or onsite) is aimed at data analysts who wish to use Alteryx for data processing and data visualization.

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

• Leverage Alteryx to improve business intelligence and business analytics.
• Perform ETL operations with zero code.
• Visualize data with a data analytical suite, such as Excel.

This instructor-led, live training in Varna (online or onsite) is aimed at data scientists who want to use Alteryx for data analysis.

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

• Prepare data in Alteryx to later visualize in Power BI or Excel.
• Create and Perform ETL operations with little to no code.
• Embed custom R code inside Alteryx.

The 'Big Data and AI in Banking' training program is crafted to provide banking professionals with the necessary skills and knowledge to effectively utilize Big Data and artificial intelligence. Attendees will investigate the fundamental principles, technological infrastructure, and practical uses of these tools within the banking industry. The curriculum combines theoretical lessons, real-world case studies, practical exercises, and discussions concerning regulatory requirements, ethical issues, and industry best practices.

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

1. Grasping Core Concepts: Establishing a solid foundation in Big Data and AI, emphasizing their critical role in the banking sector.
2. Investigating Technologies: Gaining familiarity with essential Big Data technologies, such as Hadoop and Spark, and understanding the importance of NoSQL databases.
3. Utilizing Data Sources: Learning to identify and exploit both internal and external data sources to optimize banking operations.
4. AI Applications: Demonstrating how AI techniques, including risk assessment, fraud detection, and predictive modeling, are applied in bank examinations.
5. Applying Data Analytics: Acquiring the ability to use data analytics methods to identify trends and manage risks effectively in banking environments.
6. Ethical Considerations: Examining the ethical aspects of deploying Big Data and AI in banking, alongside the necessity of regulatory compliance.
7. Anticipating Future Trends: Preparing participants to adapt to upcoming technological advancements and formulate strategies for integrating Big Data and AI into banking workflows.

Technological advancements and the exponential growth of information are fundamentally reshaping business operations across various sectors, including government. The generation of government data and digital archiving rates are surging, driven by the rapid proliferation of mobile devices and applications, smart sensors and IoT devices, cloud computing solutions, and citizen-facing portals. As digital information expands in volume and complexity, the challenges associated with information management, processing, storage, security, and disposition become increasingly intricate. Emerging tools for capture, search, discovery, and analysis are enabling organizations to extract valuable insights from unstructured data. The government sector is reaching a critical tipping point, recognizing that information is a strategic asset. Consequently, governments must protect, leverage, and analyze both structured and unstructured information to better fulfill mission requirements. As government leaders strive to evolve into data-driven organizations to successfully accomplish their missions, they are laying the groundwork to correlate dependencies across events, personnel, processes, and information.

High-value government solutions will emerge from a combination of the most disruptive technologies:

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

Big Data represents one of the intelligent industry solutions that enable governments to make better decisions by taking action based on patterns revealed through the analysis of large volumes of data—both related and unrelated, structured and unstructured.

However, achieving these goals requires far more than simply accumulating massive quantities 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 a significant step toward helping agencies identify these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative allocated more than $200 million to maximize the potential of the Big Data explosion and the tools required to analyze it.

The challenges posed by Big Data are nearly as daunting as its promise is encouraging. One significant challenge is efficient data storage. With budgets always tight, agencies must minimize the per-megabyte cost of storage while keeping data easily accessible so users can retrieve it when and how they need it. Backing up massive quantities of data further exacerbates this challenge.

Effectively analyzing data presents another major hurdle. Many agencies utilize commercial tools that allow them to sift through mountains of data, identifying trends that help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives believe Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.)

Custom-developed Big Data tools are also enabling agencies to address their data analysis needs. For example, 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 can alert doctors to aortic aneurysms before they occur. It is also used for more routine tasks, such as sifting through resumes to connect job candidates with hiring managers.

In this instructor-led live training in Varna, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

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

• Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation.
• Implement industrial big data storage and processing solutions for data analysis.
• Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation.

This instructor-led, live training in Varna (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

This instructor-led, live training in Varna (online or onsite) is designed for data scientists who wish to use Alteryx to prepare data for visualization and analysis.

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

• Prepare data using Alteryx for subsequent visualization.
• Execute ETL operations without writing any code.
• Utilize Alteryx to enhance business intelligence and analytics capabilities.

This instructor-led, live training in Varna (online or onsite) is designed for business analysts aiming to use IBM Cognos for data analysis and reporting.

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

• Analyze and share data insights.
• Visualize business performance.
• Utilize AI-assisted tools to clean and integrate data sources.
• Identify hidden data patterns using the built-in AI features of IBM Cognos Analytics.

In this instructor-led, live training in Varna, participants will learn to utilize JasperReports to view and interact with business data, as well as create and design reports and dashboards that are accessible 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 execute an ETL job
• Use iReport to generate charts, images, sub-reports, and cross tabs

KNIME Analytics Platform stands out as a premier open-source solution for driving data-driven innovation. It empowers users to uncover hidden potential within their data, extract novel insights, or forecast future trends. Featuring over 1000 modules, hundreds of executable examples, a broad spectrum of integrated tools, and an extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to become familiar with the platform, enhance their proficiency in using it, and master the creation of clear, comprehensive reports based on KNIME workflows.

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

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

• Install and set up Metabase to begin creating data visualizations and dashboards.
• Learn how to query, aggregate, and visualize data using Metabase.
• Utilize Metabase's features and tools to write SQL queries.
• Construct analytics charts and dashboards to derive actionable business insights.
• Understand best practices and troubleshooting tips for using Metabase and resolving common issues.

Master the art of acquiring and transforming data to build engaging, interactive dashboards.

Power BI stands out as one of the leading tools for data visualization and business intelligence. It comprises a suite of data connectors, applications, and software services designed to extract data from various sources, transform it, and generate visually compelling reports.

Furthermore, Power BI enables you to publish these reports within your organization, allowing seamless access across mobile devices, tablets, and other platforms. This Power BI tutorial provides a comprehensive, step-by-step guide to connecting with diverse data sources, performing data transformations, and creating rich visualizations such as charts, tables, matrices, and maps.

Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence solution that offers robust capabilities for data integration, reporting, dashboarding, and ETL processes.

Through this instructor-led live training, participants will learn how to fully leverage the features of Pentaho Open Source BI Suite Community Edition (CE).

Upon completing this training, participants will be able to:

• Install and configure Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core principles of Pentaho CE tools and their functionalities
• Create reports using Pentaho CE
• Integrate third-party data sources into Pentaho CE
• Handle big data and analytics tasks within Pentaho CE

Audience

• Programmers
• BI Developers

Course Format

• A blend of lectures, discussions, exercises, and intensive hands-on practice

Note

• For customized training arrangements, please contact us directly.

This instructor-led, live training in Varna (online or onsite) targets data analysts and web developers seeking to develop associative models in Qlik Sense.

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

• Apply Qlik Sense in data science.
• Use and navigate the Qlik Sense interface.
• Build a data literate workforce with AI interaction.
• Create a data-driven enterprise with Qlik Sense.

This instructor-led, live training in Varna (online or onsite) targets data analysts who want to program in SAS for advanced data management, analysis, and related tasks.

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

• Master macros to write efficient SAS programs.
• Train a model and make predictions on unseen data with predictive modeling.
• Create charts and plots for data visualization.

This instructor-led, live training in Varna (online or on-site) is designed for data analysts and 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 Varna (online or onsite) is designed for engineers who want to ingest data into Splunk Indexers and manipulate data within Splunk.

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

• Use various 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 online analytical processing (OLAP) and data mining, enabling the analysis of data across multiple databases, tables, or files. The semantic data models provided by SSAS are utilized by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.

In this instructor-led live training, available either onsite or remotely, participants will learn how to leverage SSAS to analyze large volumes of data within databases and data warehouses.

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

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

Audience

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Varna (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 statistic models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to preapare for data analysis.