Business Intelligence Training in Ciudad Juárez

WrenAI empowers organizations to evolve beyond rigid dashboards by embracing conversational analytics and integrated generative BI. This transformation demands thoughtful adoption strategies, systematic asset migration, and robust change management frameworks.

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

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

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the transition from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Spearhead 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 arrangements, please reach out to us.

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

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

• Grasp the advantages, use cases, and core features of Amazon QuickSight.
• Learn to link QuickSight with various data sources and develop interactive data visualizations and dashboards.
• Implement security measures and access controls within QuickSight.
• Utilize the built-in machine learning features of QuickSight to gain deeper data insights.
• Design, build, and tailor QuickSight dashboards to extract and visualize business insights.

This instructor-led, live training in Ciudad Juárez (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 Ciudad Juárez (online or onsite) is aimed at beginner-level business analysts 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 Ciudad Juárez (online or on-site) is designed for beginner-level business and data analysts who want 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 instructor-led, live training in Ciudad Juárez (online or in-person) is designed for 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 application that facilitates real-time collaboration, data organization, and analysis.

This instructor-led live training, available online or on-site, is designed for beginner to intermediate-level professionals seeking to enhance their efficiency and collaboration by leveraging the advanced capabilities of Google Sheets.

Upon completing this training, participants will be capable of:

• Navigating and effectively using the primary features of Google Sheets.
• Efficiently managing and organizing data through the use of filters, sorting, and formatting tools.
• Implementing essential and advanced formulas to address various business scenarios.
• Developing charts, dashboards, and reusable templates for reporting and collaborative purposes.

Course Format

• Interactive lectures and discussions.
• Practical exercises and hands-on practice within Google Sheets.
• Real-world examples and collaborative activities.

Course Customization Options

• For customized training on this course, please contact us to arrange details.

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

This instructor-led training, available online or onsite, is designed for advanced engineers looking to master high-performance, enterprise-scale, and highly automated PDI solutions.

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

• Architect large-scale ETL pipelines with sophisticated orchestration.
• Optimize complex transformations for peak performance.
• Implement scripting, automation, and hybrid integration strategies.
• Design robust, maintainable, and production-ready workflows.

Course Format

• Expert-led demonstrations and architectural discussions.
• Extensive lab exercises focusing on 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 Ciudad Juárez (online or onsite) is tailored 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 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 empowers users to blend, transform, and automate data workflows with minimal coding.

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

By the conclusion 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.

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 Ciudad Juárez (online or onsite) targets beginner to advanced 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.

This instructor-led, live training in Ciudad Juárez (online or onsite) is designed for beginner to intermediate professionals seeking to enhance their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

Upon completing this training, participants will be able to:

• Navigate and effectively use the core features of Excel and Google Sheets.
• Conduct data analysis and derive actionable insights through advanced spreadsheet techniques.
• Collaborate in real-time using Google Sheets to facilitate seamless teamwork.
• Develop reusable templates for reporting, tracking, and project management.

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

This instructor-led training session, available either online or on-site, is designed for data professionals with intermediate expertise who aim to utilize Microsoft Fabric to develop contemporary data solutions featuring integrated analytics, governance, and visualization capabilities.

Upon completing this training, participants will be capable of:

• Grasping the components of Microsoft Fabric and their integration within the Microsoft ecosystem.
• Establishing and administering Fabric Workspaces with appropriate access controls.
• Developing and overseeing Lakehouses to centralize and analyze data effectively.
• Employing notebooks for exploratory analysis and data transformation using Python and SQL.
• Generating and automating data flows through visual pipelines.
• Modeling and managing data via the Data Warehouse and Semantic Model layers.
• Designing and publishing interactive dashboards utilizing Power BI within Fabric.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Practical implementation in a live-lab environment.

Options for Course Customization

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

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

This live training, led by an instructor and available online or on-site, targets intermediate practitioners looking to deepen their PDI expertise for tackling more complex transformation challenges.

Upon completing this course, participants will be equipped to:

• Craft multi-step transformations designed for optimal performance.
• Effectively utilize variables, parameters, and reusable components.
• Seamlessly integrate PDI with databases, APIs, and various external systems.
• Implement best practices to ensure ETL pipelines are maintainable and scalable.

Course Format

• Engaging interactive demonstrations paired with instructor-led explanations.
• Guided exercises and practical scenarios for hands-on learning.
• Real-world application through work within a practical ETL project environment.

Customization Options

• For a customized version of this course, please reach out to us to discuss your specific needs.

Qlik Cloud is a Software-as-a-Service (SaaS) analytics platform that empowers developers to create, automate, and oversee data-driven insights within cloud-based environments.

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

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

• Deploy and manage data models and visualizations within Qlik Cloud.
• Utilize Qlik Application Automation for automating workflows and processes.
• Integrate APIs and external data sources with Qlik Cloud.
• Implement governance, security, and collaboration features in a multi-tenant environment.

Course Format

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

Customization Options

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

This instructor-led, live training in Ciudad Juárez (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization.

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

• Learn the fundamental concepts of Sisense and how it works.
• Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
• Merge and manage data from multiple sources.
• Utilize Sisense for quick data manipulation and visualization.

This instructor-led, live training in Ciudad Juárez (online or onsite) is targeted at intermediate 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 completing this training, participants will be able to:

• Comprehend and manage the entire Splunk infrastructure.
• Gain mastery over Splunk architecture and its core components.
• Effectively troubleshoot both common and advanced issues.
• Maximize Splunk's potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

WrenAI allows SaaS providers to integrate generative business intelligence (GenBI) directly within their customer-facing applications. This course prepares SaaS teams to leverage the WrenAI Embedded API, set up white-label analytics, and manage multi-tenant deployments effectively.

This instructor-led, live training (available online or on-site) is designed for SaaS product leaders, data engineers, and full-stack developers at intermediate to advanced levels who aim to implement WrenAI as an embedded analytics solution in their SaaS environments.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs using the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.

Course Customization Options

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

This instructor-led, live training in Ciudad Juárez (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 Ciudad Juárez (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 Ciudad Juárez (online or onsite) is aimed at data analysts or anyone who wishes 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 Ciudad Juárez (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also 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 instructor-led, live training in Ciudad Juárez (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 Ciudad Juárez (online or onsite) 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 instructor-led, live training in Ciudad Juárez (online or onsite) caters to beginner to intermediate participants seeking to build essential skills in data visualization and reporting using Looker Studio. Learners will discover how to link data sources, visualize information effectively, and derive actionable insights.

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

• Comprehend the core functionalities of Looker Studio and their use cases.
• Install Looker Studio and connect it to various data sources.
• Develop captivating dashboards with charts, graphs, and filters.
• Customize reports to address specific audience needs and business goals.
• Collaborate on and distribute dashboards efficiently.

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

During this guided live training, participants will discover how to leverage the robust ETL capabilities and extensive GUI of Pentaho Data Integration to oversee the complete big data lifecycle, thereby maximizing the value of data across their organization.

Upon completing this training, participants will be capable of:

• Creating, previewing, and executing fundamental data transformations that involve steps and hops
• Setting up and securing the Pentaho Enterprise Repository
• Consolidating diverse data sources to produce a single, unified version of the truth in a format ready for analytics.
• Delivering results to external applications for additional 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 for data visualization, exploration, and embedded analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to build, manage, and extend analytics applications using Qlik Sense Enterprise.

By the end of 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.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Ciudad Juárez (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 Ciudad Juárez (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.

This instructor-led, live training in Ciudad Juárez (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.

This instructor-led live training in Ciudad Juárez (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.

The 'Big Data and AI in Banking' training program is crafted to empower banking professionals with the critical skills and knowledge needed to harness the transformative potential of Big Data and artificial intelligence. Participants will delve into core concepts, technological frameworks, and real-world applications of these tools within the financial sector. The curriculum combines theoretical instruction with case studies, interactive workshops, and in-depth discussions on regulatory requirements, ethical standards, and industry best practices.

Upon completing this training, participants will be able to:

1. Grasp Key Concepts: Establish a solid foundation in Big Data and AI, recognizing their strategic importance in the banking industry.
2. Explore Technologies: Gain familiarity with essential Big Data technologies, such as Hadoop and Spark, and understand the role of NoSQL databases.
3. Utilize Data Sources: Learn to identify and effectively leverage both internal and external data sources to enhance banking operations.
4. Apply AI Solutions: Understand how AI techniques are applied in bank examinations, including risk assessment, fraud detection, and predictive modeling.
5. Execute Data Analytics: Acquire the skills to apply data analytics methodologies for identifying trends and managing risks within banking contexts.
6. Navigate Ethical Issues: Examine the ethical implications of deploying Big Data and AI in banking, emphasizing the need for regulatory compliance.
7. Anticipate Future Trends: Prepare to navigate upcoming technological innovations and develop strategies for integrating Big Data and AI into banking workflows.

Technological advancements and the exponential growth of information are fundamentally changing how businesses operate across various sectors, including government. The volume of government data generation and digital archiving is accelerating due to the widespread adoption of mobile devices and applications, smart sensors, cloud computing solutions, and public-facing digital portals. As digital information becomes more voluminous and complex, managing, processing, storing, securing, and disposing of this data presents greater challenges. Emerging tools for capturing, searching, discovering, and analyzing data are enabling organizations to extract valuable insights from unstructured information. The government sector is at a critical juncture, recognizing that information is a strategic asset. Governments must protect, leverage, and analyze both structured and unstructured data to better fulfill their missions and serve the public. As government leaders work to transform their organizations into data-driven entities, they are establishing the foundation to connect dependencies across events, personnel, processes, and information.

High-impact government solutions will emerge from the integration of several transformative technologies:

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

Big Data represents an intelligent industry solution that enables government agencies to make better decisions by acting on patterns identified through the analysis of vast amounts of data—both related and unrelated, structured and unstructured.

However, achieving this requires more than just accumulating large volumes 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 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 tools necessary to analyze it.

The challenges posed by Big Data are nearly as formidable as its promise is promising. One such challenge is storing data efficiently. With budgets remaining tight, agencies must minimize the cost per megabyte of storage while ensuring data remains easily accessible so users can retrieve it efficiently when and how they need it. Backing up massive amounts of data further complicates this challenge.

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

Custom-developed Big Data tools are also enabling agencies to meet their analysis needs. For instance, the Computational Data Analytics Group at Oak Ridge National Laboratory 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 matching job candidates with hiring managers by sifting through resumes.

In this instructor-led, live training in Ciudad Juárez, participants will adopt the mindset necessary to approach Big Data technologies, evaluate their impact on existing processes and policies, and implement these technologies to identify criminal activity and prevent crime. Case studies from law enforcement organizations worldwide will be analyzed to gain insights into their adoption strategies, challenges, and outcomes.

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

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

This instructor-led live training, offered online or on-site, is targeted at data analysts who want 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 course delves into the science of human perception and demonstrates how to harness it to provide superior insights. You will become acquainted with design theory, covering key concepts such as the Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will explore the nuances between exploratory and explanatory analysis. The curriculum guides you through chart selection and usage, helping you identify the most effective visualizations for your needs. By the conclusion of the course, you will master the application of design principles to create impactful visualizations using Tableau software.

This instructor-led, live training in Ciudad Juárez (online or on-site) is tailored for business analysts who wish to utilize IBM Cognos for data analysis and reporting.

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

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

In this instructor-led, live training in Ciudad Juárez, 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 Ciudad Juárez (online or onsite) is aimed at 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:

• Set up and install 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 Ciudad Juárez (online or onsite), participants will learn how to leverage MicroStrategy to connect with various data sources and 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 detailed reports and dashboards.

This instructor-led live training in Ciudad Juárez (online or onsite) is aimed at developers who wish to use MicroStrategy to build, customize, and embed MicroStrategy analytics into web and mobile applications through REST APIs and SDKs.

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

• Set up 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 art of gathering and transforming data to build engaging, interactive dashboards.

Power BI stands out as a leading Data Visualization and Business Intelligence solution. It comprises a suite of data connectors, applications, and software services designed to retrieve data from diverse sources, process it, and generate visually stunning reports.

Additionally, Power BI enables you to publish your work for organizational use, ensuring seamless access across mobile devices, tablets, and other platforms. Through this Power BI Tutorial, we guide you step-by-step through connecting with various data sources, performing data transformations, and creating rich reports featuring charts, tables, matrices, maps, and more.

This instructor-led live training in Ciudad Juárez (online or on-site) is aimed at data analysts who wish to program in SAS for advanced data management, data analysis, and more.

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 Ciudad Juárez (online or onsite) is aimed at data analysts and scientists who wish to search, analyze, and visualize data using Splunk.

Upon completing 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 for large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in Ciudad Juárez (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 and data mining, enabling the analysis of data across multiple databases, tables, or files. The semantic data models offered by SSAS are utilized by client applications such as Power BI, Excel, Reporting Services, and various other data visualization tools.

During this instructor-led live training (available onsite or remotely), participants will learn how to leverage SSAS to analyze large volumes of data stored in 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
• Plenty of 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 Ciudad Juárez (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.

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

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

• Install and configure Apache Superset.
• Integrate data from multiple databases.
• Visualize large datasets effectively.
• Create and share complex dashboards.

Course Format

• Interactive lectures and discussions.
• Ample 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 arrange.
• To learn more about Apache Superset, please visit: https://superset.incubator.apache.org