Power BI: A Complete Practical Guide with the Latest Updates

Explore the basics of data analytics, compare roles like data scientist, data engineer, business analyst, and data administrator, and identify the technical and soft skills needed for a data analyst.

Understand data analytics via a bank ATM cost example, showing how a data analyst collects, processes, and visualizes data to enable descriptive, diagnostic, predictive, prescriptive, cognitive insights with Power BI.

Explore the roles in data and business intelligence, including business analysts, data analysts, data scientists, data engineers, and database administrators, and how they handle data cleaning and ETL.

Identify essential data analyst skills, from advanced Excel techniques to SQL and Python libraries. Develop domain knowledge and soft skills like problem solving and communication for effective Power BI delivery.

Explore essential data analytics concepts—exploratory data analysis, data mining, data profiling, OLTP/OLAP, data warehouse and lake, ETL, KPI, master vs transactional data, star schema, data blending, and reporting visuals.

Explore Power BI, its features and versions, and the roles of Power BI desktop and Power Excel. Install Power BI desktop and review its interface and an end-to-end data flow.

Power BI connects to over 100 data sources, transforms data with Power Query Editor, models relationships, offers more than 30 visuals, and enables secure sharing via Power BI service.

Explore the three Power BI versions—Power BI Desktop for local report creation and prototyping, Power BI service for cloud-based sharing and data refresh, and Power BI Mobile for on-the-go access.

Compare Excel and Power BI, showing Excel for data entry and analysis, and Power BI for interactive reports, dashboards, advanced data modeling, and broad data source connectivity.

Install Power BI desktop on your machine to begin data connection, transformation, and visuals development, using the provided Microsoft Store link and exploring its interface in the next video.

Master the Power BI desktop interface by using the data, visualization, and filter panes, exploring report, table, modeling, and DAX views, and loading Excel data to create visuals.

Explore Power BI data collection and extraction with over 180 inbuilt connectors. Connect to flat files and PostgreSQL, then handle single or multi-file folders and learn import vs direct query.

Learn to extract data from Excel, CSV, and PDF into Power BI, load multiple files from a folder in one go, and choose to combine or load them individually.

Connect Power BI to a SQL database, use the advanced option to run SQL queries for filtering, and compare import versus direct query connectivity.

Connect Power BI to external web data using the web data source to import tables from a URL. Learn about basic and advanced options, credentials, and data security and compliance.

Learn how to enter data directly in Power BI without a data source by using the Enter Data option, creating a small master dataset, loading it, and building reports.

Discover data transformation basics with Power Query Editor, covering data cleaning, wrangling, validation, and hands-on merging and append operations, plus advanced options in Power BI's data preparation workflow.

Connect to a data source and clean duplicates, blanks, typos; wrangle and transform dates to a standard format and data types in Power Query Editor for ready Power BI visualizations.

Learn how Power Query Editor transforms and prepares data from diverse sources for Power BI and Excel. Explore data connection, filter, sort, split, merge, append, replace, and data profiling.

Explore the Power Query Editor interface in Power BI Desktop, including the ribbon, query, data, and query setting sections, and learn how to load, transform, and track applied steps.

Learn practical data cleaning and transformation in Power Query Editor by converting a white table into a tall table, unpivoting data, handling headers, filling gaps, and applying common transformations.

Explore append and merge in Power Query Editor, using append to add rows with the same structure and merge to add columns via a common key.

Validate data in Power Query Editor to ensure accurate, error-free data using data distribution, data profiling, and data quality before building visuals in Power BI.

Master advanced options in the Power Query Editor, including data source changes, refresh preview, and managing applied steps. Cover data preparation, cleaning, transformation, and essential append and merge operations.

Explore the basics of data modeling in Power BI, including fact and dimension tables, star schema, table joins, and entity relationships, with hands-on practice creating a data model.

Define data modeling in Power BI by creating relationships between multiple tables to organize data for analysis and visualization, improving data quality, consistency, and performance.

Explore the core elements of data modeling—facts, dimensions, attributes, and KPIs—alongside master vs transactional data and the star schema with a date and product dimensions.

Explore entity relationship and cardinality to understand how 1-to-1, 1-to-many, and many-to-many links shape data models in Power BI. See examples with customers, products, and bank accounts to relate tables.

Explore table joins concepts in Power BI, including primary keys, foreign keys, normalization, and denormalization, and learn inner, left, right, and full joins with practical examples.

Apply practical data modeling in Power BI by building a star schema from four tables, creating a date table, and defining one-to-many and many-to-one relationships with proper filtering.

Learn Dax, the data analysis expressions language, to enrich data with new columns, measures, and tables; master filter functions, the calculate function, and time intelligence.

Explore DAX, the data analysis expression language for Power BI, PowerPivot, and Analysis Services, enabling calculated columns, measures, date table, and time intelligence at the tabular level.

Explore Power BI data types: whole numbers, decimals, positive and negative values, booleans, text, and dates. Apply arithmetic and comparative operators, including addition, equal to, and in operator.

Explore DAX table and filter functions in Power BI to create date tables or subset tables, enable data aggregation, and enrich models by selecting columns.

Explore how calculated columns differ from measures in Power BI using DAX, including data model storage, row-by-row vs aggregated context, and practical examples.

Explore the calculate function in Power BI to define filters and compute expressions, such as sum of sales by region, using all filters, remove filters, and performance.

Explore time intelligence in DAX, including date tables, YTD, MTD, QTD, date add, parallel period, and same period last year for dynamic Power BI insights.

Learn how to turn backend data preparation into compelling visuals in Power BI by building reports with essential blocks, common visuals, formatting, filters, bookmarks, and mobile layouts.

Explore the basic building blocks of Power BI, including reports, pages, visuals, elements, and tiles, and learn how aggregations like sum, average, count, max, and min drive insights.

Learn how to add visuals to a Power BI report by dragging fields or selecting visuals, switch between line and pie charts, and adjust field options and formatting.

Explore Power BI table and matrix visuals, learn how rows, columns, and values define each, compare two-dimensional data use, and apply examples like top countries by revenue and drill through.

Create line and area charts in Power BI to analyze time-based trends. Configure x and y axes, secondary y axis, legend, and tooltips to compare budgets and revenue.

Master bar, column, stacked bar, and stacked column charts in Power BI, and learn when to use each by category count, long labels, and orientation.

Explore Power BI combo charts that blend line and column visuals to compare budgets and total revenue, highlight data points, and switch between cluster and stacked configurations.

Explore pie, donut, and treemap charts in Power BI to visualize category portions of a whole, using limited categories and importing visuals such as sunburst for hierarchy.

Learn to create map charts in Power BI, using location, country, latitude and longitude, with bubble and field maps, legend, bubble size, and tooltips for geographic insights.

Explore how slicers provide interactive filters in Power BI, enabling end users to select genre or date ranges with tile, list, dropdown, and date options.

Explore gauge, card, multi-row card, funnel, and scatter visuals in Power BI, learning how to configure values, min/max, targets, categories, and axes for impactful dashboards.

Explore advanced Power BI desktop options, including bookmarks, text shapes, and messages, then apply filtering, inter-visual interactions, conditional formatting, report design options, and data analytics and aggregation features.

Discover how to import custom visuals from AppSource beyond the standard library, including importing from file and using visuals like word cloud and sunburst with fields genre and total revenue.

Learn to use visual, page, and report filters in Power BI, explore top and bottom and advanced filtering options, and apply filters at visual, page, or report level.

Discover how Power BI creates date hierarchies automatically, build product hierarchies, and use drill down, drill up, and expand all to interact with data.

Explore the elements in Power BI, including text box, buttons, shapes, and images, and learn how insertion enhances interactivity and visual appeal in reports and dashboards.

explore bookmarks in Power BI to capture a report's current view and selections, then reuse them with single-click actions to switch pages, visuals, or clear filters.

Format visuals, pages, and elements in Power BI using fonts, colors, themes, and sizes to meet brand standards, enhance readability, and maintain consistency across reports.

Learn conditional formatting in Power BI, applying rules to tables, charts, maps, and cards using background color, font color, icons, and web URLs, including dimensions and measures via DAX.

Explore how visual interactions in Power BI control cross-visual, page, and report behavior using slicers, none, highlight, and filter options, including drillthrough and cross-report interactions.

Explore aggregation and analytics in Power BI, including sum, average, minimum and maximum, distinct counts, and forecasting with trend lines and reference lines across visuals.

Learn to optimize Power BI reports for mobile devices by using the mobile layout, adjusting visuals, fonts, and colors, previewing on mobile, and publishing to the Power BI service.

Master data collection and extraction, connect to sources, transform and model data, create visuals, then share reports with secure access and dashboards in Power BI services.

Explore licensing in Power BI, comparing free, Pro, premium per user, and premium capacity, covering space limits, refreshes, gateway access, and costs.

Explore how to share and export Power BI desktop reports, including file types pbix, pbit, pbip, pbids, and rdl, plus exporting to pdf or csv where interactivity is not preserved.

Explore Power BI services, a cloud-based platform for publishing, sharing, and collaborating on dashboards and reports. Learn about workspace management, publishing from desktop, and data security.

Explore sharing and collaboration in Power BI by publishing reports to a workspace, assigning roles, and sharing via links, email, Teams, or SharePoint, with PowerPoint exports and analyze in Excel.

Explore dashboards in Power BI services, a single page eagle eye view that combines data from multiple reports and datasets by pinning visuals to a dashboard.

Schedule subscriptions and set alerts in Power BI services to email report snapshots or PDFs to users, with optional Teams notifications. Configure thresholds, recipients, and refresh timing for monitoring.

Explore admin activities in Power BI services, including user and group management, workspace governance, and data source administration. Learn security, audit logs, and capacity planning to optimize performance.