
Import and structure a Power BI data model by loading Excel data, cleaning and renaming tables, standardizing values, creating a dates table with M code, and establishing relationships.
Build a total sales measure with sumx, then perform a Pareto analysis by ranking customers with rankx on total sales to identify the top 20 percent and test Pareto applicability.
Explore time intelligence in DAX to forecast current month sales from the prior three months. Create a date table and a sales forecast measure using calculate and dateadd.
Learn to count customer transactions in the last 30 days using DAX, calculate, and count rows, applying a date table filter with a dynamic max date.
Create a helper classification table and a DAX measure to label customers as risky, average, or top based on last 30 days transactions with thresholds (0–3, 3–5, 5+).
Create dynamic measure comparisons in Power BI by using a measure comparison table, the selected value function, and a switch to display chosen measures alongside a base measure.
Clear all report filters with a bookmark reset in Power BI. Save a no-filter view as a bookmark and trigger it with a button for one-click filter removal.
Analyze sales and profit growth by creating percentage growth measures from total profit and total sales, visualize with country- and year-filtered scatterplot and trend line to reveal insights.
Explore Power BI model structure using a bridge table to connect trainers and trainings. Learn DAX techniques for safe filtering across tables, including cross filter, context transition, and bridge-based filtering.
Learn to create calculated columns in Power BI to rank employees by total sales with RankX, and classify them as top, average, or bottom for visuals.
Learn to build a dynamic last X days sales view in Power BI with a what-if parameter and a slicer, filtering dates and calculating total sales per customer.
Export underlying data from a Power BI visual to csv within the current filter context using the visual's three-dots menu, or copy the whole table to Excel from data view.
Learn advanced search in Power BI with a DAX measure and slicer to filter trainings by tool, including Excel data import and slicer-driven visuals.
Import the play axis visual from its source, then animate a report by looping through categories with a defined time interval and category filters for dynamic total profit visuals.
Explore how the Power BI Q&A feature lets users ask questions and generate visuals, and learn to customize visuals with synonyms and Q&A settings.
Synchronize slices across report pages with the sync slices feature to create a global slicer that filters visuals on all pages while controlling per-page visibility.
discover how to replace calculate with iterators in DAX to filter data and evaluate total sales in a modified context, using filter to create a subset table.
Rank customers by multiple criteria in Power BI by creating a profit margin measure, building sales and margin rankings with rankx and all, and combining them into a final ranking.
Explore dynamic ranking in Power BI using DAX to fix total issues, implement top end and calculate with is filtered and has one value logic for accurate totals.
Learn to build a burrito chart in power bi by ranking categories with rankx, computing running totals with topn, and adding an 80 percent line and category percentage.
Learn cluster analysis in Power BI by building a scatterplot with numeric X and Y, using detail to split the dots, and auto or manual clustering.
Keep your motivation high while mastering DAX in Power BI by starting small and dissecting your code. Persist, practice, and push through challenges as learning DAX remains a continuous journey.
Explore how to import and configure a heat map visual in Power BI, map country data, assign total sales, and animate year-by-year visuals with legend, color, and radius settings.
Create animated stories with a pulse chart in Power BI by importing the visual from marketplace, mapping dates with a dates table, adding an events table, and using playback controls.
Animate a Power BI report by building a sample dashboard, adding visuals such as bar charts and doughnut charts, and using a play feature to cycle through categories for storytelling.
Learn to build a bump chart in Power BI using DAX RANKX and a sum of sales measure, with category and year axes and styling tips.
Learn to display the latest refresh time and local time zone in Power BI reports using an M code snippet, advanced editor steps, and card visuals.
Business Intelligence with Microsoft Power BI - How to?
Why Power BI? In a world of data Business Intelligence / Business Analytics is in high demand. We are living in a data driven society. This trend will continue to accelerate. Companies are constantly searching for ways to make better and faster and smarter decisions. This heavily involves getting insights from their 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 looking out for skilled employees and freelancers with the necessary capabilities to help them analyze and understand their data,
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
So back to the question. Why Power BI? Well, because...
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 and offer job opportunities if you manage to master Power BI.
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.
What we learn in this course might also help you later with your Power BI certification exam.
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
All we do here is accomplished with a provided dataset but you can of course use your own dataset and explore it in detail. Additional course materials can be downloaded at no extra costs.
The introduction video contains a preview of a report you will built during the course so check it out.
Exited? You should be! Buckle up and meet me in the first lecture starting today!
Let's get into it and master Power BI in no time!