PowerBI Tutorial : Mastering Data Visualization and Analysis

Load data into Power BI from an Excel file, preview sheet two, load and refresh data, then manage tables and learn about the usage of calendar tables.

Test your understanding by creating and displaying the new clunkier column in a table, solving a straightforward PowerBI challenge before moving on.

Navigate to transform data, locate discount sheet, promote headers from the first row to column names, and verify the discount column is added to the table via the check box.

Create a custom sort order in Power BI by building a sort table (B, A, C), wiring it to the products table, and using related to display the ordered results.

Learn how to sort data in Power BI, including ascending and descending orders, and build a custom sort table to control product order in your visuals.

Explore how to build a calendar table in Power BI to enable time intelligence, including quarter-to-date, month-to-date, and year-to-date calculations, using the calendar auto function.

This demo shows building measures with DAX in Power BI, using a calendar table linked to fact data, exploring month-to-date and year-to-date logic, and using slicers to analyze sales.

Learn how to disable chart interaction in Power BI so a visual, like a card showing the grand total, remains unaffected by slicers.

Learn to create a drill up and drill down for a bar chart by adding a date hierarchy, enabling a top-down view from year to quarter, month, and day.

Create variables inside a Power BI measure to simplify calculations, call and modify them to update results, and understand that a variable is only recognized within a measure.

Create and manage bookmarks in PowerBI to save current selections, return to the original view of the page, and add a bookmark button for quick navigation.

Connect web data in Power BI by using get data, selecting web, and pasting a table URL; then Power Query promotes headers and renames a column to rank.

Change data types in Power BI to ensure correct interpretation and analysis readiness, with a focus on correcting date columns often misread as text or numeric.

Change the data type of a column in power query from integer to text, then refresh and observe how the rank and search volume values affect the table layout.

Split a specific column in Power Query to extract portions into new columns, using custom rules and delimiters to enable better organization, data quality, and analysis.

Explore column splitting in Power BI power query, using delimiter-based, character-based, and position-based methods (including space delimiters) to reshape data.

Format data in Power BI's Power Query transform panel by applying uppercase, lowercase, or capitalize each word to a keyword column, and add prefix or suffix to values.

Learn to extract text from a column in Power Query by using the transform panel, selecting length, first characters, and last characters on the keyword column.

Build conditional columns in Power Query to segment data by criteria, enabling dynamic updates and automatic recalculation of derived values without manual intervention.

Create a rank column by adding an index column in Power Query Editor, sort data in descending order, and duplicate the source column for a practical top-100 ranking workflow.

Explore the format and extract functions in Power BI, and compare adding a new column with creating an uppercase keyword column and extracting the first six characters.

Create a master calendar in Power BI with year, month, and quarter data. Link it to other tables to enable time-based calculations and consistent date hierarchies.

Explore how a table matrix in Power BI presents data in a tabular visual, enabling summary and analysis across multiple dimensions to reveal patterns, trends, and relationships.

Build a table matrix in Power BI, fix data types to enable sum aggregations, and arrange product category, items, and cost across rows and columns.

Learn how to create variables in Power BI to store intermediate results and reuse them across expressions for clearer, more efficient report calculations.

Learn to use variables in a Power BI report to implement month-to-date logic. Calculate from the start of the current month to today and apply it in filters.

Tackle a year-to-date measure in Power BI by accumulating sales from the month start to year end, or to the max current month if the year isn’t finished.

Learn to build cost month-to-date and cost year-to-date measures in Power BI, using max date filtering and year logic to accumulate data from your data source.

Learn to handle an empty row in a Power BI data set by updating the max date logic to filter not equal to zero values and compute month to date.

Explore prior month and prior year calculations in DAX to perform time-based comparisons that reveal performance trends and support informed decisions in data analysis.

Create month-to-date and year-to-date buttons in a Power BI report. Use a period table, a horizontal slicer, and dynamic measures to switch cost values.

Learn data compression in your data model by using appropriate data types, reducing distinct values, and keeping only the latest import date to link student IDs with transactional data.

Explore how relationships and cardinality affect Power BI dashboard performance, using one-to-many, many-to-one, and many-to-many linkages between dimension and transactional tables to derive measures and expressions.

Master fact dimensional modeling to optimize Power BI data models by formatting date columns, establishing one-to-many dimension relationships, and linking descriptive dimension data to a central fact table for measures.

Learn to optimize dashboard performance by scheduling the ETL refresh during non-peak hours, such as weekends, to conserve memory and enhance user experience.