
Explore how Power BI enables building interactive dashboards from data transformation with Power Query and pivot techniques, delivering actionable business insights.
Discover how Power BI compares to Excel, highlighting more visuals and charts, natural language questions with instant answers, and slicers that turn charts into interactive filters.
Power BI leads Gartner’s magic quadrant in completeness of vision and ability to execute, with Tableau second and Qlik third, and it connects to 130+ data sources with monthly updates.
Meet Lenny Wu, a Power BI educator and expert in Power Query, Power Pivot, BI, and self-service reporting, with MBA finance and CPA Canada backgrounds.
This course is NOT an academic course like others that:
- teaches ALL skills from A to Z, whether they are useful or obsolete, such as CONCATNATE() in Excel
- does not tell you which formulas/skills are mostly used at work!
This course is a practical course where it
- capitalizes on my 20+ years’ professional experiences in financial reporting and modeling
- builds upon my 22+ years’ Excel and 5+ years Power BI experiences
- has the top crucial skills hand-picked by me so that you can “get your foot in the door” and survive in the “office” environment
- focuses on business uses rather than academic uses, e.g. how to calculate YTD sales using a DAX formula?
- opens doors to more opportunities and promotions at office!
In summary:
- I am NOT teaching you skills for the sake of teaching skills
- I am teaching you only the relevant skills that will automate your workload and get yourself EXCEL at work!
Explore why this course helps you master the fastest growing BI program, refresh data transformation concepts, and boost query, data analysis, and AI-enabled Power BI dashboards.
Build a Power BI dashboard after data transformation in Power Query and data analysis, create seven top visuals, deploy automated commentary, and use AI natural language queries for self-service reporting.
Learn to install Power BI desktop, connect to diverse data sources, and build a data model with Power Query and Power Pivot for interactive dashboards.
Refresh your Power Query skills by merging queries, pivoting columns to convert cross tables to flat tables, and adding columns from example in the Power Query editor.
Pivot columns to convert the cross table into a flat table with a single value column and a header column, deleting the total column for cleaner modeling in Power BI.
Learn how to use the Power Query AI feature in Power BI to create a column from example, extracting the GL number from a GL account.
Open the advanced query editor in Power BI using Power Query to edit query steps, rename columns, pivot data, remove columns, and manage code changes.
Refresh Power Pivot concepts by defining fact and dimension tables, building a calendar table with date fields, and establishing one-to-many relationships in Power BI to connect tables.
Build six DAX formulas in Power BI, including days, YTD, and same period last year with divide, then compute total sales using price and quantity from orders and product tables.
Create year-to-date and last-year sales measures in Power BI with DAX using calculate and same period last year, then compute year-over-year percentage via divide across calendar dates.
Master automated commentary in Power BI by creating a dynamic measure that reports year-over-year sales changes in a matrix, using a DAX-style format function to present increases and decreases.
Learn to build a sales dashboard with seven essential Power BI visuals, including card, multi-row card, slicer, timeline, play axis, and Q&A, to slice by markets and reveal historical trends.
Build a Power BI dashboard by creating a card visual, dropping total sales and last year's sales to compare regions, and adding a timeline with a time slicer.
Explore creating interactive dashboards with Power BI visuals, including slicers, column and bar charts, map visuals, and a scatter chart with a play axis to reveal regional sales trends.
Explore Power BI's Q&A visual, a natural language query tool that generates bar charts for top cities by total sales and total sales by country, with suggested questions.
Master best practices in Power BI modeling, including creating a measure table for all measures, limiting visuals to ten, while favoring column or bar charts over pie charts.
Discover best practices for tying visuals by color in Power BI dashboards, aligning charts with smart guides, and enabling preview features to synchronize category and country data.
Learn essential Power BI functions, including power queries, merge queries on pivot tables, and advanced query editor, plus five best practices like create a measure table and avoid pie charts.
Learn to build on demand dashboards with Power BI, turning simple English prompts into charts and sharing results via email or web link.
In the 2010s, we used to have the Excel Add-ins to perform simple data transformation (Power Query), data modeling and analysis (Power Pivot), and data visualizations (Power View, and Power Map). I called them the “Power Suite”.
Then a bottleneck was reached, as the largest rows of data allowed in Excel is 1 million rows, and you would be out of luck if you extract tens of, or hundreds of millions of rows of data you want to analyze.
Now in July 2015, a completely new but powerful platform was born that incorporated all the tools in the “Power Suite” as I called. It exists independent of Microsoft Excel and yet allows for hundreds of millions or even more data rows to process in a shorter period of time. This means that people do not have to own Excel in order to use Power BI.
And the biggest win is that it is FREE! Seriously, it is free! Microsoft only charges nominal monthly fees for sharing dashboards online.
So what are you waiting for?! Let’s see what Power BI, equipped with all of the 4 components of the “Power Suite”, can do for us!
Did I mention that Power BI is the first dashboard software to incorporate Artificial Intelligence to create visuals or charts for you when all you need is to type English words telling it what to chart??!!