Mastering Power BI and Gen AI Integration for Analytics

Master the stacked bar chart in Power BI to compare regional sales by subcategory, using color mapping, axis options, and filters to uncover regional insights.

Explore region-wise sales analytics using pie and donut charts, tracing regional contributions and percentages, and compare stacked bar visuals to reveal concentration and insights.

Explore funnel, donut, and ribbon charts in Power BI to analyze regional sales across years, using time-series trends and export to CSV for sharing.

Explore map visualizations in power bi, using region-wise and center-wise mappings with australia and india datasets, sales data, and population to reveal map-based insights.

Learn advanced map customization using mapping functions to model relationships across multiple tables and create map plots that visualize total sales by region with bubble charts.

Visualize sales data using filled maps and maps with data labels to show region and state totals, using bubbles and tooltips to reveal profit and regional details.

learn to format maps in power bi by using region and category legends, bubble sizes, and color schemes to visualize sales across furniture, technology, and offices.

Explore background maps in Power BI and apply advanced formatting to control tooltips, bubble sizes, colors, category labels, and zoom, with theme options from dark to light and grayscale.

Explore grayscale visualization styles and roadmaps for covid-19 data, switch mapping backgrounds, and compare Australia and India datasets using longitude and latitude plots.

Learn to create and format tables and matrix visuals in Power BI, compare sales and profit across columns, apply filters, and customize grid formatting for clear insights.

Explore conditional formatting in Power BI tables and matrices, customize colors, themes, and tooltips, and apply filters and aggregations to subcategories with regional totals.

Explore Power BI matrix visualizations to analyze KPIs across regions and subcategories, drill down through hierarchical levels, and format totals and sales figures for clear, actionable insights.

Explore using Power BI matrix and card visuals to display sales, profit, and quantity with subtotals, grand totals, number formatting, filters, and drill-down by subcategories like accessories and appliances.

Explore date cards and multi-row cards in Power BI to visualize KPI results, toggle bar, pie, and stacker plots, and drill down to reveal profitability across technology and furniture categories.

Enhance analytics with data cards and KPI visuals to filter and format order-date metrics, showing earliest or latest dates, counts, and aggregates like average, sum, min, and max.

Explore best practices for cards in Power BI, including data and multi-row cards, filtering by subcategory and region, and linking to pie plots for drill-down profit and sales.

Use text slicers to filter data and explore sales analytics in Power BI, including profit calculations, regional trends, subcategory comparisons, stacked bar visuals, and tabular insights.

Learn to perform univariate, bivariate, and multivariate analysis within Power BI to derive actionable insights from raw data, using plots and dashboards to showcase sales KPIs across cities and customers.

Master Power BI slicers, including hierarchical and date and number slicer techniques, to filter sales by region or city and customize visuals with fonts, borders, and colors for clear analytics.

Create a basic sales dashboard by customizing background colors, themes, and slices; explore vertical and horizontal sliders, category filters, and date hierarchies from year to day, including order date.

Build a comprehensive sales summary dashboard using year-wise, hierarchical data and multivariate visuals of customer names and sales, with format sliders and quantity controls guiding analytics.

Learn to build simple Power BI dashboards with sales data, profit insights, time series forecasting, and text slicers to enhance visuals and analysis.

Explore dashboard formats, legends, and slicer controls to tailor colors, labels, and rotation for profit, sales, and region and city insights, including drill-down calculations.

Design a detailed superstore sales dashboard by assembling plots, matrix data cards, slicers, and simple cards, and tailor orientation and formatting for clear regional and category insights.

Learn to use slicers in Power BI to filter sales by region and city, with hierarchical region-city views, pie plots, and customizable options like single or multiple selection.

Explore how to build interactive dashboards in Power BI using order date and quantity sliders, with date hierarchies and multivariate analysis of sales, quantity, and profit.

Learn to use the Power Query Editor and Power BI visuals to forecast profits over time, assess granularity by subcategory, and customize dashboards with text boxes, slicers, and charts.