Build 45 Real-World Power BI Projects for BI & Data Analysts

Explore a beginner Power BI workflow from importing an Excel data set to transforming sales data with Power Query, checking column quality, and preparing data for visualization.

Clean and validate data by checking and correcting data types, removing nulls, converting revenue to decimal, and checking for negative values to prepare visuals.

Learn to build Power BI visuals with DAX measures for total and average revenue, transactions, and country counts; create cards, a region revenue donut, and a country line-and-stacked-column chart.

Visualize rank by revenue with a tree map, then explore ribbon charts, matrix views, and slicers to analyze sales reps and monthly revenue with a line and stacked column chart.

Explore revenue by rank using a tree map and ribbon chart, analyze sales reps with a matrix, and enhance with slicers and a monthly line and stacked column chart.

Import foods and beverages sales dataset in Power BI, load sales and product tables, and use Power Query editor to clean data and define relationships between fact and dimension tables.

clean and verify datasets in the power query editor, assess column quality, ensure correct data types, convert unit price to currency, and set up DAX measures for visualizations.

Learn to create Dax measures for revenue and average ticket price, build a sales amount column, and visualize with donut charts and line and stacked column charts in Power BI.

Explore Power BI data visualizations, including line and stacked bar charts for monthly revenue by order date, and a dashboard with donut charts, and slicers for category, channel, and quarter.

Analyze IT spend with power BI by comparing actual, budget, and forecast; import Excel and CSV files, transform in Power Query, build fact and dimension tables, and prepare for visuals.

Build a calendar table and establish table relationships to create a datamaster table, connect dates across budget, forecast, and actuals, and prepare Power BI visuals for real-world insights.

Leverage Power BI to generate AI-assisted visualizations with Q&A, comparing actuals to budget using KPI indicators. Build matrix and scatter visuals with DAX quick measures for budget versus forecast.

Build an HR analytics dashboard in Power BI to analyze employee attrition, clean data with Power Query Editor, and differentiate import vs direct query while modeling fact and dimension data.

We clean and prep data for visualization by renaming, removing unused columns, and setting correct data types in Power Query to enable DAX calculations and cards.

Learn to build Power BI visuals from prepared data, use Power Query for prep, add a conditional attrition count, and create measures for attrition rate, active employees, and avg age.

Explore Power BI visualizations to analyze attrition by department, age group, and gender using pie, column, matrix, donut, stacked bar, and gauge charts.

Import and compare Power BI import mode and direct query mode. Clean and transform data with Power Query Editor, and build KPI dashboards using DAX for Global Superstore 2016.

Learn to build dashboards driven by key performance indicators in Power BI using Power Query Editor to create year slicers and cards for sales, average delivery time, quantity, and returns.

Build a Power BI e-commerce dashboard by visualizing top five products by profit with a clustered bar chart, and analyze customers by sales, segment, market, and maps.

Build a patient information dashboard in Power BI, showing admission numbers and test results; import data, use Power Query, and model relationships between master data and fact and dimension tables.

Transform and clean data in Power BI with Power Query Editor, build one-to-many relationships, refine data types, and create smoker and alcoholic indicators for clearer visualizations.

Design a patient summary dashboard in Power BI by using a slicer for admission numbers, a multi-row card for key details, and a test-summary matrix.

Load and transform data in Power BI using Power Query editor, set correct data types, and identify missing values with column quality to prepare visuals and reports.

Create a Power BI visualization report for global sales data by building formatted visuals, cards for gross sales with callout values, background styling, and a slicer for interactive analysis.

Learn to build a multi-visual sales dashboard in Power BI, including total sales, total profit, units sold, year slicers, segment and product analyses, discounts, and a country map.

Explore a guided Power BI project using the Boston Housing Dataset, transforming data in Power Query, cleaning columns, correcting types, and preparing for visualizations.

Build Power BI visualizations by binning crime rate into 16 bins, creating a stacked column chart of crime count by place in Boston, and adding data labels and color.

Build donut and stacked visualizations for the Boston housing dashboard: represent categories like tracks near the Charles River, switch to count, customize colors, and analyze pupil-teacher ratio and highway proximity.

Explore Los Angeles crime data with a guided Power BI project, importing a CSV, transforming data in Power Query Editor, and preparing year-wise insights and map visualizations.

Fix and standardize data types in Power Query, convert dates to the short date format, remove errors, and prepare latitude and longitude for map visuals.

Build a Power BI dashboard for Los Angeles crime data by adding a canvas, a year slicer, a line chart of crimes by year, and location map with bubble counts.

Learn to build Power BI visualizations using donut and pie charts to explore crime data by type, area, gender, premises, and weapon details, with victim age slicers on a dashboard.