Learn the Essentials of Power BI Fast!

Explore building tables and matrices with real data, apply cross filtering, use filters on visuals and pages, and format tables to create a professional Power BI look.

Create and populate a Power BI table with profit, product category, and products container from the Excel stall data. Then apply formatting, titles, borders, and style options to improve readability.

learn to filter power bi visuals using profit filters, country and customer segment criteria, and compare aggregations such as sum, percentage of total, and average.

Master dynamic cross filtering and slicers to filter all visuals on a page, set interactions to none, and use slicers for ship date and product category.

Explore matrix visualizations in Power BI, breaking down regional sales by product category with drill down and drill through to reveal underlying business drivers.

Build a Power BI table of sales by product category and profit by region with shipment as a secondary row. Apply filters and a quantity slicer (5–20) to synchronize visuals.

Power BI essentials: explore cards and multiracial cards, bar and column charts, line graphs for time series, maps, tree maps, and scatterplots.

Learn how to use card visualizations in power bi to display key metrics like gross sales and gross profit on dashboards, format values as currency, and customize card visuals.

Explore how to build and format multi-row cards in Power BI to display related metrics like profit, sales, and shipping cost, including title, color, and left-bar styling.

Power BI cards activity: build a multi-row card for sales, profit, and shipping cost, format as USD with two decimals, and add a centered white-on-black title 'financials' at 25.

Master stacked and clustered bar charts in Power BI to visualize profit by customer segments and product categories, using data colors and labels for clear insights.

Explore stacked versus clustered bar charts and master cross filtering and cross highlighting in Power BI, observing how selections affect other visuals and the difference between filtering and highlighting.

Explore Power BI bar chart analytics by applying constant lines and min, max, average, and median and percentile references to a clustered column, with customizable colors, transparency, and labels.

Explore how 100% stacked bar charts show each product category's contribution to profit by customer segment as percentages, and understand their limitations in conveying total profit values.

Learn to build a stacked bar chart of sales by customer segment and a clustered column chart in Power BI, apply filters, add average line, and set interactions to filter.

Load the financial dataset in Power BI and create a line graph to analyze time series trends, seasonality, and hierarchical drill-down from year to quarter to month.

Explore filtering time series data in Power BI with line graphs and bar charts, using internal and cross filtering by country across year, quarter, and month hierarchies.

Explore time series analytics on a line graph by adding trend and constant lines, adjusting filters, and using forecast to project six months ahead.

Use area charts to visualize time series and sales over time, drill down to yearly levels, and split by country with stacked area charts for clear trends.

Explore time series analysis in Power BI by building a line chart of sales over time, enabling year–month detail, product filters, and an 80 percent forecast for six months.

Explore the remaining Power BI charts and graphs, including pie and doughnut charts, funnels, maps, and ribbon charts, and learn practical formatting and interpretation for sales and marketing data.

Explore how to create and use data relationships in Power BI by linking bike sales and products tables, and analyze cross-table metrics with visuals like pie charts and bar charts.

Discover how to create new calculated columns from existing data and simple calculated measures using the equals calculate formula in Power BI, and how basic coding expands your AI-enabled capabilities.

Create calculated columns in Power BI to compute cost of goods sold from units sold and unit cost, format as currency, calculate margin percentage, and use these fields in visuals.

Master calculated measures in Power BI using the equals calculate function, differentiate between calculated columns and measures, and refresh the data model to update visuals across tables.

Create a DAX-based profit percentage column from profit divided by sales, format as percent; then build a measure for overall cowriter product profit percentage and display it in a card.

Master the essentials of Power BI by loading data into models, building tables and measures, and exploring visuals, analytics, and relationships, plus basics of calculated columns and measures.