Level: Professional — Author: Writix
Level: Professional • Duration: 4 hours
Author: Writix
In this course, you will delve into the crucial role of time in data analysis using Power BI. You will learn how to evaluate datasets over time, gaining valuable insights into data fluctuations. You will engage in practical exercises involving two distinct datasets. First, you will analyze Superstore data to assess Point of Sale (PoS) information across various locations and timeframes. You will calculate changes utilizing different window functions, period-to-date, and period-over-period comparisons. Next, you will work with financial data from Microsoft (NASDAQ: MSFT) to comprehend how to project future values using both built-in features and DAX algorithms. By the end of this course, you will possess a comprehensive skill set for effectively managing and analyzing time series data.
Duration: 4 hours
XP Points: 350
Participants: 0
- Data analysts - Business intelligence professionals - Students interested in data science - Finance professionals - Anyone looking to enhance their skills in Power BI