Mastering Power BI: A Beginner's Guide to Data Visualization

Import a dataset into a Power BI desktop file by loading a CSV, previewing the data, and adjusting data types and delimiters through the Power Query editor before applying changes.

Configure the data model by adjusting field properties in the data view, including data type, format, sorting, and data category, to improve visualizations in Power BI Desktop.

Load related datasets in Power BI, link customer and district tables via district code and district ID, and view or edit one-to-many relationships in model view.

Replicate the data categorizations from the customer dataset in the district table by defining a primary key and establishing the categorizations.

Set the district dataset key to district code and categorize fields such as city and state, using advanced options for region and state name.

Create a district hierarchy in a Power BI data model using region, city, and state name to enhance visualizations, then rename and reorder levels via the model view.

Explore creating your first visualization in Power BI desktop by building a table that shows the total number of customers per region, dragging regions to columns and counting client IDs.

Learn how to format a Power BI table visualization, with sorting by region or customer count, header renaming, and apply style, borders, and formatting options for clear data presentation.

Explore how to apply conditional formatting to Power BI table visuals, configuring background colors, fonts, icons, and URLs with gradient and value-based rules for region and customer count.

Explore applying filters to Power BI visuals and pages, switching between filters on this visual and filters on the page, with basic and advanced options, top‑N prioritization, and filter clearing.

Link the loan dataset to your Power BI model and define relationships, then create a table visualization showing the top ten customers by loan disbursement.

Load the loan dataset, define a one-to-many relationship with the customer data via client IDs, and create a top ten loan customers visualization with a top n by loan amount.

Create and use field parameters in Power BI to let end users customize visible columns, selecting fields like first name, loan amount, region, state, city, and gender via a slicer.

Learn to create and use a matrix in Power BI, compare it with a table, and explore multi-dimensional analysis with rows, columns, values, and drill-down through region to city.

Learn to format the matrix visualization in Power BI, customizing column and row headers, subtotals, and cell formatting, and master editing interactions to control how visuals filter each other.

Analyze loan customers by region, state, and city using a matrix to reveal not just totals but the purpose of loans, leveraging the loan dataset.

Show how to count distinct loan customers using the loan dataset's client ID and display total loan transactions. Replace the gender field with the loan purpose to reveal purpose-based insights.

Learn to switch matrix dimensions using field parameters, toggling between gender and purpose with a slicer. Use drill on columns for dynamic dimension changes and a tile-style slicer for clarity.

Use the card visualization to show a single aggregate, such as total customers or loan disbursement, and customize formatting like title, font size, and display units.

Discover how a multi-row card displays aggregates—total customers, total loan customers, and loan disbursement—with region breakdowns, formatting options like category labels, call out values, font, title, accent bar.

Add and configure category and date slicers, explore single and multi-select, clear filters, and choose tile or dropdown layouts to control visuals and interactions in Power BI reports.

Learn to use date slicers in Power BI with a date hierarchy, including full date, year, month, between, before/after, relative date, and multi-select filtering.

Create a clustered column chart in Power BI from a matrix, visualizing loan customers by region. See tooltips, drill-down to state and city, and explore formatting options.

Explore clustered column chart options: use legend to categorize by purpose, small multiples to create separate charts by category, and tooltips to display additional metrics like loans disbursed.

Explore formatting options for a clustered chart in Power BI, including axis visibility, concatenate labels for hierarchical drill-down, color by region and state, and data label and grid line options.

Create a chart parameters set (region, state name, city, purpose, gender), convert the slicer to a tile, and bind chart dimensions for interactive drill-down visuals.

Explore line charts in Power BI by mapping year to x axis and loan disbursement to y axis, with tooltips, drill down, and a secondary y axis for payments.

Format line charts in Power BI by adjusting x and y axes, grid lines, and using the zoom slider, tooltips, lines, markers, data labels, and colors.

Explore advanced line chart options in Power BI, including trend lines, axis lines, shared area, data labels, and forecast with adjustable horizon and confidence intervals.

Combine a line chart and a clustered column chart in Power BI by adding a secondary y axis. Switch which series appears as a line or a column.

Explore how the ribbon chart visualizes ranking changes over time in Power BI, using region, years on the x axis, and loan disbursement amount on the y axis.

Learn how to visualize status changes in Power BI with a funnel chart by mapping status to category and values, showing totals and percentages, and customizing colors by status.

Learn to use a waterfall chart in Power BI to visualize year-by-year changes in loan customers, using category and breakdown fields (year, gender, region) to explain increases and decreases.

Explore when to use pie charts, doughnut charts, and treemaps to show data proportions across categories. Learn to choose the visualization for many categories by comparing regions, states, and cities.

Use a Power BI scatter chart to analyze the relationship between two numeric fields, set x and y axes, and add a trend line with bubbles sized by count.

Create a comprehensive Power BI report from the loan customer and district dataset, using card slicers, tables, and charts to clearly communicate loan disbursement trends.

Create a Power BI loan disbursement dashboard with cards for totals and averages, slicers for date and purpose, top customers table, regional charts, a forecast line, and a pie chart.

Explore two map visualizations in Power BI—Just map and filled map—using state, city, drilldown, latitude and longitude, and tooltips with World Geo Data.

Explore bookmarks in Power BI Desktop to save specific filter states like 2019–2022, switch between views with bookmarks, and revert to the original report state with a button.

Learn to use the bookmark navigator and individual bookmark buttons from the insert menu, switch between horizontal and vertical layouts, and manage bookmarks and filters with action controls.

Learn to use a page navigator in Power BI to display all report pages in a grid, then navigate to a chosen page and back to the menu.

Master Power BI drill through and cross-report filtering by routing data from source reports to a destination report, using fields like region and city with keep all filters.

Explore how to use the key influencers AI visualizations in Power BI to analyze loan amount by purpose, distinguishing when home loans increase and car loans decrease, with sample metrics.

Explore how to use Q&A in Power BI to query data, customize with field synonyms, train the model for terminology, and add a Q&A panel to reports.

Learn to add a smart narrative to an existing Power BI report, insert values like the region with the most customers, and combine it with Q&A and key influencer visuals.

Publish your power BI report to the Power BI service to share with others, noting the need for a pro license. Explore workspaces, publishing from desktop, and mobile layouts.

Explore the Power BI service by accessing workspaces and viewing published reports and datasets. Edit reports, export to PowerPoint, analyze in Excel, and collaborate via Teams.

Discover how to design dashboards that match end-user needs by pinning visuals, choosing dashboards or full reports, and controlling interactions, view rights, and mobile layouts.

Explore how to create and customize mobile layouts in Power BI, toggle between mobile and desktop views, drag visuals, adjust formatting, and publish updates for the mobile app.