
Comprehensive Power BI Desktop tutorial covering data import, DAX formulas, dashboard creation, and report publishing. Master essential skills for effective data analysis and visualization.

Comprehensive guide to Excel Power Pivot, DAX formulas, and functions. Learn data modeling, building relationships, and creating advanced calculations for powerful business intelligence dashboards.

Comprehensive tutorial on VLOOKUP function in Excel, covering 15 examples from basic to advanced usage, including exact and approximate matches, dynamic tables, and error handling.

Learn to create custom functions in Power BI for calculating Moving Annual Totals using M code. Master advanced data transformation techniques and optimize performance with table buffering.

Comprehensive introduction to M Code in Power Query, covering values, expressions, functions, and advanced techniques for efficient data manipulation and analysis.

Learn Power Query's Group By feature with five practical examples, including calculating totals, standard deviation, joining names, and ranking sales.

Explore Power Query's 6 types of joins and merges through 9 practical examples, enhancing your data analysis skills in Excel with step-by-step guidance.

Master Excel's Power Query to efficiently append tables, handle recursion issues, and manipulate data using advanced functions like Excel.CurrentWorkbook and Table.ColumnNames.

Learn to import and combine multiple Excel files using Power Query, create a unified dataset, and build dynamic PivotTable reports with automated updates when new files are added.

Comprehensive introduction to Power Query for data importing, cleaning, and transformation in Excel and Power BI Desktop, with practical examples and hands-on exercises.

Comprehensive overview of data analysis and business intelligence concepts, including data types, models, and database structures for effective data management and analysis.

Transform invoice data into a star schema using Power Query, creating a single fact table for improved reporting and analysis in Power BI Desktop.

Learn to clean data, create PivotTables, and use Power Query and Power Pivot in Excel 2016. Master data transformation, import large datasets, and build efficient data models for advanced analysis.

Master advanced Excel techniques: build data models, create DAX measures, and use functions like CALCULATE and TOTALYTD. Learn to optimize PivotTables and implement variables for efficient data analysis.

Learn to create dynamic sales reports and dashboards using Power BI Desktop. Master data import, cleaning, transformation, and visualization techniques for effective financial analysis and monitoring.

Learn to import, clean, and analyze data using Power Query and PivotTables. Master techniques for efficient data management, creating insightful reports, and optimizing file size in Excel for accounting purposes.

Learn advanced Power Query techniques to analyze customer coupon usage across multiple stores, including counting and extracting customer names for various coupon groups.

Learn advanced Excel and DAX techniques for calculating averages and moving averages at different granularities, enhancing your data analysis skills for more accurate financial reporting.

Aprenda a usar a função RANKX DAX para classificar lucros de produtos por fabricante em PivotTables do Excel. Domine técnicas avançadas de análise de dados e fórmulas DAX.

Learn to use Power Query in Excel for data cleaning, transformation, and analysis. Master importing, combining, and refreshing data from various sources to create proper datasets and pivot tables.

Explore Linear Discriminant Analysis for dimension reduction and pattern classification in machine learning. Learn its applications, core mathematics, and practical implementation through exercises and examples.