Mastering Microsoft Power BI: Unleashing Insights - AI/ML

Explore mapping plots and functions in Power BI to compare region-wise and center-wise patterns across Australia and India datasets.

Learn to model and merge data across two to three tables, and use mapping functions with map plot visuals and bubble charts to analyze regional sales and totals.

Explore creating geo-spatial visuals in Power BI, including map plots, field maps, and bubble charts driven by sales and profit, with enhanced tooltips and legends.

Explore how to enhance map visuals in Power BI by formatting maps, using region as legend, and categorizing by furniture, offices, and technology, while adjusting bubble size, colors, and titles.

Explore how to customize Power BI maps using formatting, properties, tooltips, and color options, adjust zoom and bubble size, set titles, and apply background images or transparency to convey mood.

Demonstrate Power BI visualizations of COVID-19 impact in India, using statewise maps, datasets from India and Australia, grayscale and color formats, and longitude and latitude to reveal regional trends.

Analyze the impact of COVID-19 in India using Power BI, map regional data with latitude visuals, explore datasets, and preview models and data transformations.

Explore how to build and format tables and matrices in Power BI, including columns such as subcategory, sales, quantity, and profit, and apply filters, totals, and styling to drive insights.

Explore advanced conditional formatting in Power BI, applying color changes, icons, and themes to tables and matrices while analyzing subcategories, averages, profits, sales, and drilldown insights.

Explore hierarchical data in Power BI using matrix visuals, subtotals, grand totals, and drill-downs. Learn to format numbers, apply filters, and build insightful card visuals for sales, profit, and quantity.

Master conditional matrix formatting in Power BI with interactive matrices that use rows, columns, and values, enabling drill-down through categories, regions, and segments to reveal totals and KPI insights.

Leverage Power BI number cards to visualize key KPIs at a glance, using bar, pie, and stacked plots to analyze sales across categories like phones, technology, and furniture.

Discover best practices for designing Power BI text and data cards, explore customization options, data card behavior, and quick measures to display latest or earliest order dates and summaries.

Explore data storytelling in Power BI using multi-row cards to show subcategory profits, link pie and funnel visuals, and apply filters and drill-down for region and sales insights.

Explore how to use Power BI filters to analyze profit by region and date, create stacked bar visuals, format axes and data cards, and perform bivariate analysis with Python.

Master exploratory data analysis in Power BI by applying univariate, bivariate, and multivariate analyses to derive insights from raw sales data and build dashboards with key KPIs.

Learn how to create and customize text slicers in Power BI to filter sales by region and city, apply hierarchical views, and tailor visuals with formatting options.

Master text slicers in Power BI to control visuals with region and category filters, format sliders, and build an order date hierarchy for interactive data storytelling.

Master number slicers in Power BI to explore hierarchical data from year to day, customize format and slider settings, and leverage multivariate visualizations for business decisions.

Explore how to build Power BI dashboards from an orders dataset, visualize city-wise sales, profit, and quantity, and apply time series forecasting to predict trends.

Explore Power BI visuals by adjusting formats, legends, slicers, colors, and data labels to reveal profit, sales by city, and region, with drill-down options and percent-of-total insights for stakeholders.

Discover how Power Query transforms raw, multi-table data for faster Power BI visualizations. Apply joins, merges, appends, and data-type adjustments to prepare data before creating dashboards.

Load raw data and metadata from Excel workbooks into Power BI, then transform the data using the Power Query editor, close and apply the transformations, and prepare datasets for visualization.

Explore how to transform data in Power BI by importing sources, configuring data source settings, and shaping queries with parameters, managing columns, and keeping specific rows to gain actionable insights.

Apply Power BI fundamentals to transform data, splitting columns by delimiter, changing case, converting digits, and grouping data, then merge or append queries and handle various data types.

Explore data transformation in Power BI for beginners, mastering data types, filtering duplicates, and shaping product names, sales, discounts, and profit through applied steps.

Master Power BI data transformation basics by navigating the workspace, changing data types, applying filters, replacing values, drilling down, and creating and previewing parameters before applying changes.

Develop data transformation skills in Power Query by performing merge and append operations to combine April and May datasets, resulting in a single table of 20 rows with source labels.

Master Power Query through merging two datasets using left, right, inner, and outer joins on a common key, then sorting and filtering to refine April and May data.

Explore Power Query to transform data: filter rows, replace values, and use the first row as header, then split columns and apply group by transformations.

Master custom column creation in Power Query by applying transformations like transpose, pivot and unpivot, data type changes, renaming, text extraction, and list conversions to streamline Power BI ETL workflows.

Apply advanced data transformation in Power Query with Power BI, using statistics to compute counts, averages, sums, min, max, median, and distinct values, and perform add and multiply operations.

Explore data merging and joining with Power Query by applying distinct values, arithmetic operations, absolute values, powers and roots, trigonometry, rounding, and date-time transformations to prepare insights in Power BI.

Learn how to use date functions in Power BI to create new columns and extract year, month, day, and the day of the week from a date field for advanced analytics.

Explore time-based insights in Power BI with date functions for day names, day of year, and month values, plus basic formatting and creating new columns from examples.

Explore how to create a custom column and invoke custom functions in Power BI, using conditional columns to classify clients and filter records, with examples like Mahindra bank.

Create an index and row number columns, build conditional and duplicate checks, clean up text, and extract JSON formats in Power BI to optimize data analysis.

Explore date functions in Power BI by examining query settings, column profile, and diagnostics to unlock insights and streamline data transformations.

Create an interactive sales dashboard in Power BI with pie and stacked bar visuals, KPI cards, and continent slicers, while learning data relationships and drill-through for department insights.

Explore how to connect data sources, model relationships, and visualize sales data in Power BI, including get data, data hub, SQL Server, and dashboards.

Mastering Power BI: driving sales strategy with visualization examples, including pie and donut charts, legend and color customization, and drilling into department salaries and profit by client.

Build and analyze a sales analytics dashboard in Power BI with bar and pie plots, KPIs, and interactive filters to explore salary by department and related insights.

Build an interactive Power BI sales dashboard with KPI visuals, color-coded salary metrics, and horizontal sliders. Publish securely with corporate ID and use navigation buttons, bookmarks, and drill-through.

Create compelling sales dashboards in Power BI by inserting visuals, images, and text, applying DAX expressions and measures, and enabling real-time updates with cross-highlighting.

Install Power BI desktop and publish dashboards online to visualize revenue, profit, and user insights. Transform data via ETL and create actionable visualizations that empower end users.

Explore how to install Power BI, navigate its interface, and use the data, report, modeling, and visualization tabs to connect to 100+ data sources with Get Data, building sales insights.

Explore how to connect diverse data sources in Power BI, build interactive visualizations like column charts, and analyze sales by region, category, and subcategory to uncover growth insights.

Analyze sales data with Power BI plots to compare region-wise and subcategory performance using stacked bar, column, and 100% stacked charts, with filters, axes, and formatting for actionable insights.

Visualize regional sales data in Power BI using stacked bar, pie, donut, and funnel charts to uncover regional patterns and drive sales strategy.

Explore Power BI charts to analyze sales by region with ribbon, donut, and line plots, apply time series analysis and stationary concepts, and export data to CSV for sharing.