
Learn to load the latest Excel file from a folder in Power BI by sorting by date modified and using a zero in the function to reference file for refresh.
Configure a Power BI query to automatically load the latest monthly data from Excel. Use a dynamic first sheet reference and refresh to always display the current month.
Learn how to create a cumulative running total with Power BI DAX for a custom financial year using time intelligence, including a date table and year-to-date measures.
Learn to perform lookups and shift data in Power BI with the lookup value function in DAX, prepare data in the query editor, and load it into the model.
Create a customized filter pane in Power BI using bookmarks and buttons to show or hide filters, add slicers for dates and countries, and customize interaction without data reset.
Learn to dynamically show specific measures in a Power BI report by unpivoting data into a measures column and driving a matrix with a slicer.
Use a custom slicer from the Microsoft store to drive region-level filtering in Power BI, enabling country selections to filter the region visual and related visuals.
Explore a real-world Power BI DAX case: build a measure that compares this month's average sales to the previous month, using variables, calculate, and divide for safety.
Learn to build an apples-to-apples DAX comparison in Power BI by filtering dates to month-to-date and using calculate for daily sales versus the prior month.
Use a dynamic DAX measure to highlight the current sales period in a Power BI bar chart with conditional formatting.
Centralize all measures in a dedicated measures table in Power BI by loading a dummy table, selecting measures, and dragging them into the table.
Learn to build a stepped line chart in Power BI by creating a measure that uses union to combine two sales measures and returns the maximum per quarter.
Learn how to create a dynamic DAX measure in Power BI that highlights the highest and lowest sales by country using total sales, bar visuals, slicers, and conditional formatting.
Explore creating a heat map in Power BI by transforming the matrix visual, using conditional formatting, and customizing colors, grids, and font for clear insights.
Learn when to use DAX or not, and how to get aggregations like count, average, and percent of grand total directly in visuals without writing measures.
Master nested ranking in Power BI by building a DAX rankx query, using all selected, don't summarize, and tool-based filtering to rank rows by likes.
Explore dynamic color coding for gauge charts in Power BI by creating budget and goal measures, and applying conditional formatting to color bars based on performance.
Discover how the Power Query Editor extracts dates from text using the column from examples, then import, transform, and load data in Power BI.
Create a dynamic hierarchy in Power BI by duplicating and transforming the orders table, building an indexed hierarchy, and linking hierarchy tables with controlled cross-filter directions.
Learn to build a burn down chart in Power BI using DAX, import Excel data, and compute the optimal burn rate with a calendar for tracking project progress.
Explore the disconnected table concept in Power BI, using selected value and all selected to filter data without a relationship and concatenateX to display selected companies.
Learn to build a custom KPI visual in Power BI by defining a threshold, creating a measure, and displaying total sales with up or down Unicode icons and formatting.
Extend the Power BI KPI visual by adding a transparent button, grouping it, and configuring a dynamic action that navigates to a URL or report page based on a measure.
Learn how to create image tooltips in Power BI by overlaying a card visual, using a blank measure, and styling with a transparent label to reveal a tooltip.
Discover a practical Power BI trick to emulate incremental refresh by using inclusion report refresh to exclude 2019 and 2020, then union three yearly tables into one.
Keep your motivation high while learning DAX in Power BI. Start small, dissect your code, and repeat until you master DAX through time and practice, never giving up.
Learn to build a bump chart in Power BI from sales data, using rank X, all selected, and a line chart with categories and yearly axis for clear ranking visualization.
Switch between live connections and import mode in Power BI across data sources. Learn to switch from SQL Server to Excel by re-importing data and preserving visuals.
Learn to apply custom icons to KPI visuals using DAX expressions and conditional formatting, leveraging a downloaded icon list and field-value based rules in Power BI.
Microsoft Power BI Masterclass - Additional Tips and Tricks
Business Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster and smarter decisions. Therefore they rely heavily on data. Small company or Multinational - data driven decision making is the key to success for any business in the world of tomorrow.
Because of that companies are drastically increasing to step up their efforts to find skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights.
Since there is way more demand than supply it is a "War for talent". And the competition will increase further. This environment is a bless for anyone who acquires the necessary capabilities and positions herself/himself
MS Power BI is an andvanced yet easy to get started self service business analytics / business intelligence solution provided by Microsoft which is currently in very hot demand. From my personal experience I can tell you that companies will actively searching for you if you master Power BI. Diving into data & analytics can not only immensly improve your career opportunities but also your job satisfaction!
Power BI is also a great tool for datascience too. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore learning to use this tool can also be a valuable skill for datascience jobs.
This course extends my Power BI Masterclass series on udemy. This course is not topic specific like other ones. I wanted to share tips and tricks I learned from personal Microsoft Power BI projects and from personal research on this topic. My goal is to help all aspiring students with additional tips and tricks you can use to suceed in your next business intelligence projects.
Update: The complete Power BI Masterclass Series on udemy (I have aggregated some classes together to provide more content value per class for you. I really hope that serves you better!
1. Power BI Masterclass - beginners to advanced
2. Microsoft Power BI Masterclass - Expand Excellence
3.Power BI Masterclass - DAX, Excel And More
4. The Power BI Masterclass - Additional Tips and Tricks
5. Power BI Desktop - Data Prep Challenges
6. Power BI Masterclass - DAX, R and Gateways
7. Power BI Masterclass - Python Finance and Advanced DAX
8. Power BI Masterclass - the next level
9. Power BI DAX Fundamentals Mastering the Key Concepts
10. Power BI Masterclass Calculation Groups with Tabular Editor
11. The Power BI Service Masterclass
12. How to build a profit and loss statement in Power BI Desktop
We got a lot to do so let's get into it.