Business Intelligence Training in Serbia

WrenAI empowers organizations to transition from rigid, static dashboards to dynamic conversational analytics and embedded generative BI. Successfully navigating this shift demands meticulous adoption planning, asset migration, and robust change management strategies.

This live, instructor-led training—available both online and onsite—is designed for intermediate-level BI and data platform professionals seeking to modernize their existing BI infrastructure using WrenAI.

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

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the migration from static dashboards to WrenAI.
• Integrate conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives for BI modernization.

Course Format

• Interactive lectures and group 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.

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

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

• Understand how AI is applied in data analysis within the financial industry.
• Develop skills to construct predictive and prescriptive models for financial analysis.
• Learn to implement machine learning algorithms for processing financial data.
• Improve data visualization techniques and interpret complex, AI-driven insights for informed decision-making.

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate-level data and business analysts who wish to create, manage, and administer dashboards using Amazon QuickSight.

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

• Understand the benefits, use cases, and key features of Amazon QuickSight.
• Learn to connect QuickSight to multiple data sources and author interactive data visualizations and dashboards.
• Apply security and access controls in QuickSight.
• Utilize machine learning capabilities built into QuickSight for enhanced data insights.
• Design, create, and customize QuickSight dashboards to extract and visualize business insights.

This instructor-led, live training in Serbia (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 Serbia (available online or on-site) is designed for beginner-level business analysts and data analysts who want 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 Serbia (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to harness the power of SAS BI to extract meaningful insights from data.

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

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

This guided, live training in Serbia (offered online or on-site) targets beginner-level business and data analysts who aim to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights.

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

• Navigate and utilize the SAP BusinessObjects BI interface.
• Create and customize business reports and dashboards.
• Conduct ad-hoc analysis using various BI tools.
• Apply 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 instructor-led live training, available either online or onsite, targets advanced-level engineers seeking to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completing this course, participants will be able to:

• Architect large-scale ETL pipelines utilizing advanced orchestration techniques.
• Optimize complex transformations to ensure high performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable workflows that are ready for production.

Course Format

• Expert-led demonstrations and architectural discussions.
• Extensive hands-on lab work addressing advanced, real-world ETL challenges.
• Practical development within a production-like environment.

Course Customization Options

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

Alteryx Designer serves as a visual data preparation and analytics platform, empowering users to blend, transform, and automate data workflows with minimal coding.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level professionals seeking to acquire practical Alteryx skills in data preparation, blending, basic analytics, and workflow automation.

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

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

Course Format

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

Course Customization Options

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

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level to advanced-level consultants and finance professionals who wish to prepare for the Cognos Analytics certification and gain expertise 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.

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-level professionals seeking to refine their PDI capabilities to handle more complex transformation scenarios.

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

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

Course Format

• Interactive demonstrations coupled with instructor-led explanations.
• Guided exercises and scenario-based practical applications.
• Hands-on experience within a real-world ETL project environment.

Course Customization Options

• For a tailored version of this course, please reach out to us to discuss customization needs.

Qlik Cloud is a software-as-a-service analytics platform that empowers developers to create, automate, and manage data-driven insights across cloud infrastructures.

This instructor-led live training, available both online and onsite, 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 for workflow and process automation.
• Integrating APIs and external data sources with Qlik Cloud.
• Implementing governance, security, and collaboration features in multi-tenant environments.

Course Format

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

Customization Options

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

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

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

• Understand the core concepts and operational mechanisms of Sisense.
• Build Sisense dashboards to visualize big data and support data-driven business decisions.
• Integrate and manage data from various sources.
• Leverage Sisense for rapid data manipulation and visualization.

This instructor-led live training in Serbia (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.

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

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and its core components.
• Effectively troubleshoot both common and advanced issues.
• 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 embed generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and effectively manage multi-tenant deployments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is designed for data scientists and analysts seeking to master the use of each tool in the developer tool palette within Alteryx Designer.

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

• Use and configure all tools found in the developer tab.
• Build efficient Alteryx workflows using dynamic, validation, and testing tools.
• Employ API tools to download and parse web data.
• Utilize Alteryx scripting tools, including Python and R.

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is designed for intermediate data analysts who wish to understand the theoretical aspects of Cognos 11 and learn how to utilize 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.

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

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

Upon completing 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
• Consolidate disparate data sources into a single, unified version of the truth, formatted for analytics.
• Deliver results to third-party applications for further processing

Audience

• Data Analyst
• ETL developers

Course Format

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

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

This instructor-led live training, available both online and onsite, is tailored for intermediate to advanced developers looking to build, manage, and extend analytics applications using Qlik Sense Enterprise.

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

• Design and develop interactive dashboards and visualizations utilizing Qlik Sense Enterprise.
• Implement and optimize data models and scripting processes 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.

Course Format

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

Course Customization Options

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

This instructor-led live training in Serbia (online or onsite) is designed for intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon the 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 Serbia (online or onsite) is aimed at intermediate-level to advanced-level 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 serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to rapidly and consistently derive insights.

This live, instructor-led training (available online or onsite) targets intermediate product managers, analysts, and data champions looking to adopt conversational analytics and establish self-service BI capabilities using WrenAI.

Upon completion 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.
• Effectively utilize natural-language to SQL features to answer product-related questions.
• Embed WrenAI-driven self-service dashboards and guardrails into 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 three-day, instructor-led course focuses on writing TSQL queries designed for database reporting, analysis, and business intelligence applications. Rather than focusing on transaction-oriented data-tier application development, this course presents TSQL within the context of data analysis—essentially, deriving meaning from data.

The curriculum begins with a concise discussion on levels of measurement and quantitative research methodology, integrating these concepts into every TSQL topic covered. The objective is to establish a consistent, direct, and purposeful learning path for retrieving data from RDBMS environments to be utilized in analytical tools such as SQL Server, Reporting Services, PowerBI, R, and Excel.

This extensive training program provides participants with the essential knowledge and hands-on skills needed to create, manage, and analyze business intelligence (BI) solutions using current Microsoft technologies. The curriculum centers on SQL Server (2017/2019/2022 features) and Azure Analysis Services (AAS), addressing the full data analytics lifecycle from ingestion to visualization.

Participants will learn to design and implement contemporary data warehousing solutions, construct robust ETL/ELT pipelines utilizing SQL Server Integration Services (SSIS), develop sophisticated analytical models using SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and generate insightful reports and visualizations. The course places significant emphasis on harnessing in-memory technologies, cloud integration, and modern query languages.

This instructor-led, live training in Serbia (online or onsite) is aimed at data analysts, data scientists and data engineers who wish to carry out 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 Serbia (online or onsite) is designed for business analysts who wish to automate their trading using algorithmic strategies, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specialized increments.
• Lower the costs associated with trading through the use of algorithmic techniques.
• Automatically track stock prices and execute trades.

This instructor-led live training in Serbia (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 Serbia (online or onsite) is designed for data scientists interested in using Alteryx for data analysis.

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

• Prepare data in Alteryx for visualization in Power BI or Excel.
• Create and execute ETL operations with minimal or no coding.
• Embed custom R code within Alteryx.

The 'Big Data and AI in Banking' training program is specifically crafted to empower banking professionals with the critical skills and insights needed to effectively leverage Big Data and artificial intelligence. Through this course, participants will delve into the core concepts, emerging technologies, and real-world applications of these advanced tools within the financial sector. The curriculum combines theoretical lessons, practical case studies, interactive labs, and thoughtful discussions on regulatory compliance, ethical standards, and industry best practices.

Upon completing this training, participants will be able to:

1. Grasp Core Concepts: Gain a solid foundational understanding of Big Data and AI, highlighting their strategic importance in modern banking.
2. Discover Key Technologies: Become familiar with essential Big Data technologies, such as Hadoop and Spark, and understand the role of NoSQL databases.
3. Maximize Data Utility: Learn to identify and effectively utilize diverse internal and external data sources to optimize banking operations.
4. Apply AI Solutions: Explore how AI techniques are utilized in bank examinations, including risk assessment, fraud detection, and predictive modeling.
5. Execute Data Analytics: Acquire the necessary skills to apply data analytics methods for identifying trends and managing risks within banking environments.
6. Navigate Ethical Issues: Engage in discussions regarding the ethical implications of Big Data and AI in finance, emphasizing the critical need for regulatory compliance.
7. Anticipate Future Developments: Prepare to navigate upcoming technological innovations 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 numerous sectors, including government. Government data creation and digital archiving are accelerating, driven by the proliferation of mobile devices and apps, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information becomes more voluminous and complex, the management, processing, storage, security, and retention of this data become increasingly challenging. New tools for capture, search, discovery, and analysis are enabling organizations to derive valuable insights from unstructured data. The government sector is at a critical juncture, recognizing information as a strategic asset. Governments must protect, leverage, and analyze both structured and unstructured information to better serve citizens and meet mission requirements. As government leaders strive to evolve into data-driven organizations, they are establishing the foundation to correlate dependencies across events, personnel, processes, and information.

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

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

Big Data serves as an intelligent industry solution, enabling governments to make better decisions by acting on patterns revealed through the analysis of large volumes of data—both related and unrelated, structured and unstructured.

However, achieving these goals requires more than just accumulating vast 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," wrote 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 included over $200 million to capitalize on the Big Data explosion and the tools needed to analyze it.

The challenges posed by Big Data are nearly as daunting as its promise is encouraging. Efficient data storage is one such challenge. With budgets always tight, agencies must minimize the cost per megabyte of storage and ensure data is easily accessible, allowing users to retrieve it when and how they need it. Backing up massive quantities of data further compounds this challenge.

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

Custom-developed Big Data tools are also enabling agencies to meet their 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 routine tasks, such as screening resumes to connect job candidates with hiring managers.

In this instructor-led live training in Serbia, participants will learn the strategic approach to Big Data technologies, assess their impact on existing processes and policies, and implement 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 results.

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

• Integrate Big Data technologies with traditional data collection methods to reconstruct narratives during investigations.
• Deploy industrial-grade Big Data storage and processing solutions for comprehensive data analysis.
• Develop proposals for adopting the most suitable tools and processes to facilitate a data-driven approach to criminal investigations.

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

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

• Prepare data with Alteryx to visualize later.
• Perform ETL operations with zero code.
• Leverage Alteryx to improve business intelligence and business analytics.

This instructor-led, live training in Serbia (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 Serbia, 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

KNIME Analytics Platform stands as a premier open-source solution for data-driven innovation, enabling you to uncover the hidden potential within your data, extract fresh insights, or forecast future trends. With over 1,000 modules, hundreds of ready-to-run examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for any data scientist or business analyst.

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

This instructor-led, live training in Serbia (online or onsite) targets data analysts and scientists seeking to utilize Metabase for data collection, querying, and visualization for business intelligence purposes.

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

• Install and set up Metabase to initiate the creation of data visualizations and dashboards.
• Master the techniques for querying, aggregating, and visualizing data within Metabase.
• Utilize Metabase's features to construct SQL queries.
• Design analytical charts and dashboards to gain valuable business insights.
• Understand best practices and effective strategies for using Metabase and resolving common challenges.

Discover how to Get & Transform Data to create engaging, interactive dashboards.

Power BI stands out as one of the most widely adopted 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 appealing reports.

Furthermore, Power BI enables you to publish these reports across your organization, allowing access via mobile devices, tablets, and other platforms. This Power BI Tutorial guides you through a step-by-step process to connect with diverse data sources, perform data transformations, and build reports featuring charts, tables, matrices, maps, and more.

Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence package that offers robust capabilities for data integration, reporting, dashboard creation, and data loading.

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

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

• Install and configure Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core principles and features of Pentaho CE tools
• Develop 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 and discussions, supplemented with exercises and extensive hands-on practice

Note

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

This instructor-led, live training in Serbia (online or onsite) is aimed at data analysts and web developers who wish 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.

In this instructor-led, live training in Serbia (online or on-site), participants will learn how to begin developing with QlikView.

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

• Install and configure QlikView.
• Transform data from various sources through QlikView scripting.
• Build data models with QlikView.

This instructor-led live training in Serbia (available online or onsite) is targeted at data analysts seeking to program in SAS for advanced data management, data analysis, and more.

Upon completing this training, participants will be able to:

• Utilize macros to develop efficient SAS programs.
• Train models and generate predictions on new, unseen data using predictive modeling techniques.
• Generate charts and plots to visualize data effectively.

Snowflake is a cloud-based data storage platform that offers extensive capabilities for processing and analyzing large datasets. It is a Software-as-a-Service (SaaS) solution that combines the flexibility and scalability of the cloud with the capabilities of an advanced data warehouse. Key features and functions of Snowflake include:

Cloud-Based Architecture: Snowflake is built in the cloud and optimized for flexibility and performance, allowing for easy scalability of data storage and processing resources.

Separation of Storage and Compute Workloads: Snowflake's unique architecture separates the data storage workload from the compute workload, allowing for independent scaling and optimization of these two aspects.

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

High Performance and Query Optimization: The system offers fast query processing and automatic optimization, enabling efficient execution of complex analyses on large datasets.

Security and Access Management: Snowflake provides advanced security features, including data encryption, role-based access management, and auditing.

Easy Integration: The platform easily integrates with popular ETL, BI, and data analysis tools and services, allowing for the creation of comprehensive analytical solutions.

Cost Flexibility and Scalability: A usage-based payment model allows for cost optimization and paying only for the resources actually used.

Versatility of Applications: Snowflake is suitable for various use cases, from simple BI analyses to advanced data processing, including big data analyses, machine learning, and more.

Snowflake is a popular choice among organizations of all sizes due to its flexibility, performance, ease of use, and the ability to adapt to various business and technological needs.

This instructor-led, live training in Serbia (online or onsite) is designed for data analysts and data scientists who wish to search, analyze, and visualize data using Splunk.

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

• Install and configure Splunk.
• Collect and index various types 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 Serbia (online or onsite) is designed for engineers who want to ingest data into Splunk Indexers and manipulate that data within Splunk.

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

• Utilize various data input methods and sources.
• Install, configure, manage, and monitor Forwarders.
• Manipulate raw data within Splunk.
• Create a Splunk Diag.

SSAS (SQL Server Analysis Services) is a Microsoft tool for online analytical processing (OLAP) and data mining within SQL Server. It enables the analysis of data across various databases, tables, or files. The semantic data models created by SSAS are utilized by client applications such as Power BI, Excel, Reporting Services, and other data visualization platforms.

This instructor-led live training, available onsite or remotely, teaches participants how to leverage SSAS to analyze large volumes of data stored in databases and data warehouses.

Upon completion 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 Serbia (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 statistic 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 (online or onsite) targets data analysts who wish to utilize Stata and R for analyzing big data through statistical methods.

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

• Build statistical models for predicting key variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and other outputs.
• Manage and structure large databases in preparation for data analysis.