Power BI Report Builder for Developers is a practical training course for developers, data analysts, and business intelligence professionals who need to create professional, pixel-perfect and print-ready paginated reports using Microsoft Power BI Report Builder. Participants learn how to connect to data sources, create datasets, design report layouts, configure tables and matrices, use expressions and parameters, add charts and interactive features, and publish paginated reports to the Power BI service. Koenig-solutions.com The course focuses on developing reports that extend beyond standard interactive Power BI dashboards, including multi-page operational reports, invoices, statements, and other reports requiring precise control over page layout and printing. Microsoft supports data sources including SQL Server, Oracle, Power BI semantic models, Analysis Services, Azure SQL, OData and others.

Power BI for Financial Analytics is a practical, finance-focused training course designed to help finance professionals transform financial data into interactive reports, dashboards, financial statements, and analytical insights using Microsoft Power BI. The course covers Power BI fundamentals, data import and transformation, financial data modeling, DAX calculations, financial statement preparation, financial ratios, time-based analysis, variance analysis, and interactive financial dashboards. Learners work with financial data to analyze profitability, liquidity, risk, operational efficiency, and business performance. These topics are reflected across the supplied finance-focused Power BI training references.

The Advanced DAX Techniques in Power BI course develops advanced skills in Data Analysis Expressions (DAX) for creating sophisticated calculations and analytical solutions in Power BI. The course focuses on evaluation context, filter context, row context, context transition, CALCULATE, advanced table and filter functions, iterators, relationship functions, time intelligence, variables, and DAX best practices. Udemy Participants learn to move beyond basic measures and calculated columns and apply DAX to real-world analytical scenarios. The training covers dynamic calculations, advanced filtering, ranking, relationship-based calculations, reusable date tables, time-based analysis, and techniques for writing more efficient and maintainable DAX expressions.

The Power BI Administration course provides practical knowledge for managing and optimizing a Power BI environment. The training covers Power BI administration roles, Power BI Service components, tenant configuration, licensing and capacity management, workspace administration, monitoring, auditing, troubleshooting, data-source connectivity, gateways, data refresh, data modeling, security, permissions, reports, dashboards, and collaboration. Koenig-solutions.com Participants gain hands-on experience configuring a Power BI tenant, creating and managing workspaces and users, monitoring Power BI usage, configuring gateways and refresh schedules, designing efficient data models, creating reports and dashboards, and implementing security controls such as role-based access control and row-level security.

DP-605T00: Prepare and visualize data with Microsoft Power BI is a beginner-level Microsoft course designed to introduce Power BI for data analysis and reporting. Participants learn how to connect to data, perform basic data preparation using Power Query, configure semantic models, design interactive Power BI reports, and use Copilot in Power BI to assist with report and model development. Microsoft Learn The course also introduces Microsoft Fabric and its role in end-to-end analytics. Learners work with different data sources, transform and load data, configure relationships and calculations, create interactive visualizations, apply filters, and understand how Power BI can be used to turn data into actionable insights.

The Power BI Beginner to Advanced course provides a structured learning path for developing Power BI skills from fundamental concepts through advanced data analysis, modeling, DAX, visualization, reporting, and Power BI Service capabilities. Participants learn how to connect Power BI to multiple data sources, transform and prepare data using Power Query, design dimensional data models, create relationships and hierarchies, develop calculations using DAX, and build interactive reports and dashboards. Advanced topics include complex DAX calculations, advanced visualization, paginated reports, dashboard creation, publishing, sharing, and Power BI Service capabilities.

The Business Intelligence and Data Mining with Power BI course develops practical skills in business intelligence, statistical data mining, data processing, data preparation, visualization, and analysis using Power BI. Participants learn how to clean and transform data, work with descriptive statistics, explore large datasets, identify patterns and relationships, and apply data mining techniques such as classification, clustering, association rule mining, and anomaly detection. The course also introduces popular data-mining tools and technologies, including R, Python and SAS, and uses practical examples and industry case studies to demonstrate statistical data mining and processing applications. Topics include machine-learning integration, ethical data use, data privacy, and best practices for applying analytics in business environments.

The Predictive Analytics using Oracle Data Mining course introduces the fundamental concepts of data mining and predictive analytics and teaches participants how to use the predictive capabilities of Oracle Data Mining. The course covers the data mining process, supervised and unsupervised learning, supported algorithms, and the use of Oracle Data Miner 4.1 to build, evaluate, apply, and deploy data mining models. Participants learn how to work with classification, regression, clustering, market basket analysis, anomaly detection, structured and unstructured data, predictive queries, and deployment of predictive models. Oracle Data Miner enables users to work directly with data inside the Oracle Database, while its SQL APIs support mining and deployment of results in real time.

The Oracle Database 19c: Data Mining Techniques course introduces the fundamental concepts and terminology associated with data mining and explains the steps involved in the data mining process. Participants learn how to use Oracle Data Miner to perform data mining and how to deploy predictive results. The course covers classification, regression, clustering, market basket analysis, anomaly detection, and the deployment of data mining results. Participants also learn practical tasks such as creating a Data Miner user connection, installing the Data Miner repository, creating projects and workflows, building models, viewing model results, modifying source data, rebuilding models, and applying model rule filters.