Time Series Analysis in Power BI
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Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Course Description
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.
What You’ll Learn
Introduction to time series data
An introduction to time series data. Learn to identify common patterns and formats of time data, and transform them to meet your needs.
Looking ahead with forecasting
Learn the basics of forecasting and how to predict values in the future using different methods in Power BI.
Working with window functions
Learn about and create window functions within Power BI to analyze data over a set period of time.
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