Efficient data import - You will learn how to pull data from Excel files, PDFs, and databases, so you can build repeatable report refresh processes without copying information manually from source files.
Automatic file consolidation - You will master combining data from multiple worksheets and XLSX files automatically, making it easier to create one consistent dataset even when your sources change on a regular basis.
Better data preparation - You will learn how to clean and transform data, work with dates, time, text, and numbers, and make sure your analysis is accurate, clear, and ready for reliable reporting.
More with Power Query - You will explore parameters and the basics of M language, which will help you build more flexible queries, manage data sources more easily, and reduce manual report adjustments.
Reliable data modeling - You will understand how to build a data model, define relationships between tables, and use hierarchies, so your reports stay consistent and answer business questions more effectively.
Practical DAX skills - You will create calculated columns and measures and use DAX functions such as CALCULATE, FILTER, RELATED, and SUMX to build metrics that match real business reporting needs.
Clear interactive reports - You will build reports with filters, slicers, maps, and average, minimum, and maximum analysis, so you can present data in a way that is intuitive and useful for end users.
Collaboration in Power BI Service - You will learn how to share reports, assign access rights, and work in the browser, making it easier to bring your analysis into everyday teamwork and stakeholder communication.
Power BI basics - You should already move confidently around Power BI Desktop, load simple data, and create basic visuals, so you can focus on intermediate topics instead of the absolute basics.
Working with tabular data - You should understand tables, columns, and rows and be able to work with data in Excel or a similar tool, because the course assumes conscious data preparation and analysis.
Basic data analysis - You should be able to interpret basic metrics, filter data, and understand simple relationships in reports, so you can move more smoothly into modeling and calculations in Power BI.
Readiness for hands-on work - You should be ready to complete exercises on your computer and test different solution variants on your own, because the training is strongly based on practical data work.
