Microsoft Power BI for Data Science and Data Analytics

Set up the environment on Windows 10, configure an API service, and reinstall the Raspberry Pi to begin.

Learn to set up and sign into the Power BI service, compare free, Pro, and Premium plans, and manage workspaces and API integrations for data analytics.

Set up and install Power BI Desktop, publish reports to powerbi.com, and sign in to connect to the Power BI API for data analysis.

Download Power BI from the Microsoft Store, install and update it as needed, then open Power BI Desktop to create a report.

Explore the November 2025 Power BI desktop, install from Microsoft Store, sign in with your account, build reports with visuals from your data, and publish to Power BI services portal.

Explore how to design a Power BI report in Power BI Desktop, then publish the finished report to the Power BI service using Excel data as the source.

Create a simple Power BI report by importing a dataset, building a sales line chart and table, applying sorts, formatting axes, and publishing the report.

Publish a created Power BI report to the Power BI service by navigating to your workspace, using the publish option, and leveraging the report API to share the report.

Explore how to use Power BI for data science and data analytics by creating charts and reports from an Excel file aligned with business processes.

Learn to build a stacked bar chart in Power BI from an Excel file, select data by country and product, and publish the report.

Explore how to create a stacked column chart in Power BI, map units by country and product, highlight the top ten, and publish the report to the Power BI service.

Create a clustered bar chart in Power BI, select the visual, and drag fields like segment and country onto the axis to analyze profit.

Load financial data into a clustered column chart in Power BI, configure axis and legend to compare profit by country and segment.

Learn to build 100% stacked bar charts in Power BI by importing Excel data, arranging by country and product profits, and publishing interactive reports.

Explore how to create a 100% stacked column chart in Power BI to compare profit by country and partner products, build a report, and publish to a Power BI workspace.

Discover how to create and customize a line chart in Microsoft Power BI by importing data, analyzing time-based metrics, and visualizing units sold, profit, and products across months.

Create an area chart in Power BI to visualize profit by time, apply filters, and publish the report for analysis in data science and analytics.

Learn to build a stacked area chart in Power BI to visualize units sold over time by product, save the file, and open the report for distribution.

Learn to build a line and stacked column chart in Power BI by importing financial data, configuring the chart, and displaying profit, then publish the report.

Learn to build a line and clustered column chart in a Power BI report to compare sales and profits by country and products, and customize the visuals for your preferences.

Create a ribbon chart to compare segment profits over time, drill into quarterly trends, and publish the report to a Power BI workspace for sharing.

Learn to build and analyze a waterfall chart in Power BI, displaying product sales by quarter, highlighting increases and decreases, filtering by category, and publishing to the Power BI service.

Create and customize a funnel chart in Power BI to visualize product progress, compare products, and include tooltips, publish to Power BI service, and share within a workspace.

Analyze profit versus units sold by product using a scatter chart, adjust focus and legend, then save and publish the report to a workspace for Power BI data analytics.

Create and analyze a pie chart in Power BI to compare profits by country and product details, then publish the report to the Power BI service.

Explore how to create and customize a donut chart in Power BI to visualize profit by country and by product within a live data report.

Explore building and using a treemap chart in Power BI to visualize profit by country and product, with year pickers and map visuals for drill-down details and report publishing.

Learn to create and configure a gauge chart in Power BI, set min and max, define a data-based target, and highlight top cross-sells before saving and publishing the report.

Explore how to create and customize a card chart in Power BI, load data, set maximum profit, and tailor reports for your data science workflows.

learn to use a multi-row chart in power bi to compare sales and profit, show max and min values, filter by promotions, and publish the report to a workspace.

Create a Power BI report using a table chart to display product name, sales, profit, and units sold, then publish to a workspace and view bar charts.

Build and analyze a matrix chart in Power BI, showing profit by country and product across rows, columns, and values, then publish the report to a workspace.

Upload your dataset and create or edit a Power BI report on powerbi.com, then customize visuals in the online workspace and publish the report to the Power BI service.

Learn to install a box plot visual in Power BI Desktop, load and transform an Excel dataset, and build box plots by segment, category, and region using sales or profit.

Create a multi-chart Power BI report by adding diverse visuals across pages, configuring fields such as country and product, and adjusting chart sizes for optimized performance.

Learn to customize report formats and chart formats in Power BI, adjust report size, and configure the API to support team collaboration on reports.

Learn to customize Power BI reports for data science and data analytics by shaping charts and fields, applying themes, and adjusting names and colors in a team workspace.

Configure a Power BI report page by customizing the report, adjusting colors and transparency, and publishing the final report to the Power BI service.

Learn to customize a Power BI report page by adding a title, texts, and images, apply color and logo elements, insert charts, and upload the report to Border B.I.

Learn to build interactivity in Power BI reports from API sources by adding slicers that apply to all visuals, using API filters, and creating detail views.

Explore how to use slicers in Power BI to filter product data, display sales and profit across time, and publish reports via the API.

Synchronize slicers across all report pages in Power BI to filter by products and country, enabling cohesive views of profit, units sold, and other metrics.

Explore how to apply and share filters in Power BI visuals and reports, using product and profit filters to tailor charts, and publish the filtered report via API.

Use drill through in Power BI to view profit, sales, and units by product, open detail pages, and compare two products; publish the report to a board in your workspace.

Explore the use of Microsoft Power BI for data science and analytics, including connecting to files and text sources, using JSON and APIs, and building reports and dashboards.

Connect Power BI to local files such as Excel, CSV, or text data, import datasets, shape and visualize data, and publish reports from local sources.

Explore Power BI datasets on powerbi.com, upload reports, connect to data sources, and build charts with Power BI Desktop and API samples for data science and data analytics.

Connect Power BI to a web REST API returning JSON, transform the data into a table, customize columns, and publish the report to the Power BI service.

Connect to Azure SQL Server as a data source for Power BI, configure IP access, import data, run queries, transform, load, build reports, and publish dashboards.

Learn how to connect Power BI to PostgreSQL, import data from a Postgres data source, install the necessary drivers, and build reports using a sample film dataset.

Learn to combine multiple files into a single data source in Microsoft Power BI, transform data, and build a report with charts using a shared column structure.

Explore scripting Power BI reports and writing scripts to generate visuals for data science and data analytics. Apply conditional formatting based on ranking and create dashboards using measures.

Learn to write basic DAX scripts in Power BI, create new columns using concat and other functions, and build, customize, and publish analytics reports.

Explore adding a dataset column with conditional logic in Power BI, create custom columns, apply if-then rules, and publish the resulting report.

Apply conditional formatting in Power BI to tables, use color scales and rules, and customize formatting based on data values to highlight trends in a data analytics report.

Create DAX measures to rank sales, apply conditional formatting to highlight the top three in distinct colors, and customize the Power BI report visuals for clear storytelling.

Create and use measures in Power BI to calculate profit and sales, build totals, and explore how to publish reports to the BI service.

Transform data in Power BI desktop by shaping a dataset, creating a full name from first, middle, and last names, and applying filters to prepare a report for the workspace.

Learn to calculate summary statistics in Power BI using DAX, including mean, median, min, max, standard deviation, and variance, by creating measures on a sales dataset in Power BI Desktop.

Detect outliers with z-score in Power BI desktop by calculating the mean and standard deviation for sales and profit, flagging values above three. Visualize with tables and conditional formatting.

Refocus on building portable graphic reports and using map visuals like pin maps and filter maps, with a flight dataset.

Explore building Bing map visualizations in Power BI by selecting an API dataset, configuring location fields, adjusting colors and sizes, and generating map reports.

Explore creating filled map visualizations in Power BI by mapping territories and cities from API data, customizing territory and region selections, and publishing the report to Power BI service.

Explore ArcGIS map visualizations in Power BI by building maps that show city locations, bubble sizes representing units sold, and publishing the report to a workspace.

Learn to use shape map visualizations in Power BI, enable the preview feature, and create territory and density-based location reports.

Explore airport map visualizations in Power BI by building a world map from airport data, using latitude and longitude, airport names, and country to create interactive reports.