POWER BI: Microsoft Power Bi - From Basics to Advanced

Discover Power Query, a data transformation and preparation tool in Excel and Power BI, that connects, cleans, and combines data from diverse sources to automate workflows.

Identify and remove duplicates in Power Query to ensure data accuracy, using single or multiple column checks. Preview, apply, and refresh to keep datasets reliable for Power BI analysis.

Identify and manage null values in Power Query using removal, replacement, filling down or up, and custom logic to ensure accurate and reliable analyses.

Transform and standardize data types in Power Query to ensure data integrity and accurate analysis. Identify, convert, apply, and validate types across columns with practices for consistency and error handling.

Master splitting and merging columns in Power Query to standardize and simplify data, using delimiters, character counts, and position-based techniques for clearer analysis.

Learn to enrich datasets with custom and calculated columns in Power Query, creating derived metrics like profit margins and customer lifetime value for dashboards and reports.

Learn to merge queries in Power Query by combining tables on a common key, choosing joins, and expanding results to create a unified data set.

Learn how to append queries in Power Query by stacking datasets from multiple tables, align columns, and apply transformations to create a unified, analysis-ready data table.

Import data from folders with Power Query to consolidate multiple files into one table, automate updates when files added, and transform and clean data across Excel, CSV, and other formats.

Create a calendar table in Power Query to establish a consistent date reference for time-based analysis and enable rich time intelligence in Power BI.

Master date handling in Power Query: extract year, month, day, quarter. Perform date calculations, group by date, and create custom date columns for retail sales analysis, project management, financial reporting.

Optimize Power Query steps to speed up large data processing by combining steps, removing unused columns early, enabling query folding, filtering early, and simplifying M code for better performance.

Power Query errors such as data type mismatches, missing values, and formula issues. Apply fixes like replace errors and null handling to maintain clean data.

Discover how disabling load for unused queries in Power Query reduces memory usage, speeds up refresh times, and simplifies the data model, by identifying dependencies and using create connection.

Discover best practices for data transformation in Power Query for Power BI, including clear objectives, a logical sequence, tidy data, organized queries, and performance optimization.

Transform data with Power Query to clean and prepare for reporting, then build a basic report in Excel or Power BI with visuals and slicers.

Apply Power Query to consolidate branch sales data, clean duplicates and nulls, and add a calculated column to classify transactions, preparing data with correct types for reporting.

Explore data modeling essentials in Power BI, including entities, attributes, and relationships, and learn conceptual, logical, and physical models, normalization, and data integrity for scalable decisions.

Identify primary keys to uniquely and stably identify each row, and use foreign keys to link tables and enforce referential integrity.

Explore cardinality to understand how one-to-many and many-to-many relationships shape database design and performance. Identify how foreign keys, primary keys, and junction tables enable normalization, referential integrity, and efficient queries.

Understand how filter direction governs data flow in Power BI data models, from single to bidirectional filters, and learn best practices for accurate, efficient queries across dimension and fact tables.

Learn to identify, clean, and resolve blank values in relational data models and Power BI reports, using diagnostics, data cleaning, SQL, and established relationships to ensure accurate, actionable insights.

Explore how to design and optimize data models with multiple fact tables in Power BI, align dimensions, manage relationships, and improve performance using conformed dimensions, star schemas, and bridge tables.

Hide unnecessary fields to simplify data models for reporting, improving usability and performance. Apply best practices, organize fields, and test the model to ensure calculations and relationships remain intact.

Learn principles of effective data modeling for Power BI, including simplicity, scalability, and performance, and apply tips like star schema, conformed dimensions, hiding unnecessary fields, and using calculated measures.

Master data analysis expressions (Dax) in Power BI, Excel, and SQL Server Analysis Services by learning to write formulas, create measures, calculated columns, and dynamic aggregations with filters.

Explore the fundamentals of Dax, a formula language for dynamic calculations and aggregations in Power BI, Excel, and SSAS, with practical syntax and use cases.

Master Dax syntax and operators to build accurate, efficient calculations in Power BI data models, covering formula structure, arithmetic, comparison, logical, text, and set membership operators.

Master calculated columns and measures in Power BI by understanding their row-level versus context-driven DAX calculations and when to apply each for static classifications and dynamic aggregations.

Master basic DAX functions by learning sum and average to compute totals and means in Power BI, with practical examples and troubleshooting tips.

Explore two essential DAX functions, If and Switch, to build dynamic, context-aware calculations for Power BI. Apply real-world examples to categorize sales, handle multiple conditions, and improve formula readability.

Explore how the related and calculate functions redefine filter contexts to create dynamic measures, leverage table relationships, and unlock deeper insights in Power BI data models.

Master time intelligence basics in Power BI by applying DAX time functions, including dates YTD, total YTD, MTD, QTD, and same period last year, to enable dynamic, year-over-year insights.

Create KPIs with DAX measures in Power BI to monitor sales, profit margins, and customer satisfaction. Visualize these KPIs in dashboards with cards, gauges, and bar charts for clear insights.

Explore drill down analysis in Power BI reports, using hierarchies and DAX to create interactive visuals, dynamic measures, and drill through features for deeper insights.

Identify common DAX mistakes in Power BI, including syntax errors, row versus filter context, and blank handling, and apply fixes with troubleshooting techniques, calculate, variables, and explicit measures.

Create DAX measures for total sales, total profit, and profit margin, then analyze profit by category and visualize results in Power BI.

Master essential DAX concepts, including aggregation, filter, time intelligence, and logical functions, and apply best practices like using measures, managing filter context, and debugging with DAX Studio.

Identify data types: categorical, numerical, time-based, and relational, and match them to bar, column, line, pie, scatter, and heat map visualizations to create clear Power BI reports.

Learn to create bar and line charts in Power BI, Excel, or Tableau by combining two data sets into a clear hybrid visualization that highlights categories and trends.

Learn to use tables and matrices in Power BI or Tableau to present detailed and summarized data, configure views, enable drill downs, sorting, filtering, and formatting for clear insights.

Power BI master slicers and filters to turn static reports into interactive dashboards, configure visuals, and apply best practices to enhance data usability.

Format reports with consistent colors, contrast, readable fonts, and concise data labels, add borders where needed, and refine layout with alignment and whitespace to enhance clarity and impact.

Apply and customize Power BI themes and layouts to create branded, consistent, accessible reports, using built-in themes, JSON customization, grids, and shared templates.

Learn to build a Power BI online dashboard, pin visuals, arrange and title it, apply themes, set alerts, and publish or share for interactive, executive insights.

Master sharing and permissions in Power BI, using links, workspace roles, and publish to web options to control who can view, edit, or reshare dashboards. Leverage groups and row-level security.

Learn to craft data stories that inform and inspire decisions by pairing visuals with structured narratives, audience focus, and actionable recommendations.

Identify and fix common reporting pitfalls in Power BI by simplifying visuals, limiting data series, choosing the right chart types, and using clear annotations for key insights.

build a complete Power BI dashboard by integrating data modeling, DAX measures, visuals, and slicers to analyze total sales and total profit across regions and time.

Recaps power BI fundamentals from data cleaning with Power Query and modeling to DAX and time intelligence, then outlines next steps like hands-on projects and sharing reports.

Prepare for the Microsoft data analyst certification with Power BI by mastering exam topics from data prep and modeling to visualization, DAX calculations, deployment, and practice labs.

Learn to build a Power BI portfolio that showcases real-world data modeling, analysis, and visualization through industry-relevant projects, case studies, and polished presentations.

Position yourself as a data analyst by crafting a resume with Power BI, SQL, Python; optimize LinkedIn, showcase portfolio projects and DAX-driven dashboards; prepare for interviews with STAR answers.