Confident use of Power BI Desktop - You will learn to navigate Power BI Desktop with confidence, understand its core features, and build analyses faster without getting lost in the interface or guessing where key options are.
Import data from multiple sources - You will learn how to bring in data from Excel, CSV files, databases, and web sources, so you can prepare reports on your own even when the information comes from several places.
Prepare cleaner data - You will master cleaning, filtering, merging, and reshaping data in Power Query, which will reduce manual fixes and help you build a consistent dataset ready for reliable analysis.
Build a reliable data model - You will learn how to create relationships between tables, choose the right filter direction, and structure your model properly, giving you more accurate results and easier report growth.
Create your first DAX calculations - You will learn the basics of DAX and start creating simple measures and calculated columns, so you can calculate business metrics that cannot be obtained by filtering raw data alone.
Design clear interactive reports - You will build charts, tables, cards, and maps, then add filters and slicers so report users can explore the data on their own, find answers faster, and work with reports more easily.
Publish and share online - You will learn how to publish reports to Power BI Service, configure dashboards, and share results with others, making collaboration easier and speeding up how analysis is delivered.
Create faster and cleaner reports - You will learn best practices for PBIX file organization, visual clarity, and model optimization, so your reports become faster, easier to read, and much simpler to maintain over time.
Basic computer skills - You should be comfortable using Windows, working with files and folders, and installing or launching applications so you can complete the exercises without technical difficulty.
Understanding tables and spreadsheets - You should understand how tables and worksheets are structured, read rows and columns easily, and work with simple datasets, ideally with some familiarity with Excel.
Basic data analysis awareness - You should be able to interpret simple numeric data, understand sums, averages, and filtering, and know why reports are created so you can turn data into useful conclusions.
Readiness for hands-on work - You should be ready to work independently with sample datasets, test different settings, and draw conclusions, because the training is practical and exercise-based throughout.
