
Master Power BI basics, from data integration and modeling to DAX calculations and AI visuals, to create a real-world sales analysis report with revenue, top products, and geographic insights.
Navigate the business scenario and etl in power bi, cleaning Ulysses sales data into a single fact table for cross-regional analysis.
Explore power bi's etl workflow from data extraction to load, and connect to diverse data sources with extensive connectors, while using dex calculations for advanced analysis.
Perform advanced data transformation and cleaning in Power BI by splitting columns with delimiters, filling down, and extracting currency values to build a ready fact table for real-world analysis.
Remove top and bottom rows, use first row as headers, and transpose data in query editor to clean geography and manufacturing, then combine queries for U.S. and international into one.
Disable loading international sales to prevent data duplicates and optimize the data model for reporting. Execute the final ETL step by loading only validated transformed data into the model.
Create a group for top competitors and use a treemap to compare their revenue share against the rest, with cross filtering and currency switching.
Create a last year sales measure in Power BI using calculate and same period last year, and build a custom date dimension table for seamless year-over-year analysis.
Import a custom json theme in Power BI to quickly apply a branded color scheme across all visuals and pages by importing hex-coded settings.
Transform Power BI reports by replacing text slicers with manufacturer logos as images in a horizontal slicer. Analyze revenue year over year and growth using line and gate visuals.
Learn to use bookmarks in Power BI to enhance storytelling by capturing snapshot views, spotlighting visuals, and guiding end users through the report.
Learn to design and develop amazing Power BI report as per industrial standards and best practices.
In this course, you'll learn all the unique features of Power BI Desktop to help you understand and gain confidence in -
Data Integration
Data Transformation
Data Modelling
Data Exploration
Data Visualization
Storytelling
Course content
We'll be taking a practical approach by first understanding the business case, then as per our requirement will be working step-by-step practical approach to first clean our data, mashup and then start our work on visualizations.
In this extensive hands-on course, you will be under the shoes of a Data analyst who is developing a Power BI report for Chief Marketing Officer and Chief Financial Officer to help them uncover the business insights from their data and track major Sales and Financial KPIs.
You will be working and analyzing a Sales and market share analysis data where your focus would be to find out which product categories and manufacturers are generating the most revenue. Along with that, you will be doing a competitive analysis against other top manufacturers.
We'll start by integrating the data from multiple data sources and then performing lot of transformations to prepare and clean our data and make it ready for reporting.
Once loaded, we'll start working on making a data model and working our way towards the visualizations.
We'll be doing a lot of data analysis and exploration by asking important questions throughout the course.
We'll also be working our way to answer some of the common questions while doing Sales analysis through DAX calculations and creating our own measures and calculated columns.
Our final goal will be to design a professional sales analysis report that can easily be used by the end users to gather the insights and help them take actions out of it.
Furthermore, we'll be using multiple AI-based Power BI visuals to do some advanced analysis on our data.