FeaturedUdemy
Time Series Analysis in Power BI
4.8(271)6k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate course teaches Power BI users how to analyze temporal patterns across point-of-sale and financial datasets. By leveraging window calculations, period-over-period DAX metrics, and forecasting features, analysts learn to uncover trend drivers over time.
Who It's For
Power BI developers and business analysts seeking advanced DAX and built-in techniques to model and forecast temporal metrics.
Key Takeaways
- Temporal Calculations: Practice applying window functions, period-to-date totals, and period-over-period DAX metrics.
- Retail & Financial Analysis: Work with Superstore point-of-sale data and Microsoft financial data to model business trends over time.
- Forecasting Methods: Use built-in Power BI analytics and customized DAX algorithms to forecast future performance.
About this course
Analyze Time-Series Data With Power BI
You've taken datasets and analyzed them from every possible angle, but did you know that there is one dimension that every analysis shares in common? That's right; it's time! Have you ever thought about how your data varies over time as well?Practice Common Analysis Techniques
In this Time Series Analysis in Power BI course, you will work with two different datasets and practice common techniques to analyze data over time. You will start by analyzing Superstoredata for Point of Sale (PoS) data across various locations and times, where you will calculate changes with different kinds of window, period-to-date, and period-over-period functions.Use Built-In and DAX Algorithms
Then, you will dive into financial data from Microsoft (NASDAQ: MSFT) and see how we can forecast data into the future, using both built-in and DAX algorithms to do so.Following the course, you will have a well-rounded toolkit to tackle time series data and master the fourth dimension.
Advertisement