Course
Time Series Analysis in Power BI
IntermediateSkill Level
Updated 06/2024Power BIData Visualization5 hr13 videos36 Exercises2,950 XP5,797Statement of Accomplishment
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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.
Prerequisites
Exploratory Data Analysis in Power BIIntermediate DAX in Power BI1
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.
2
Working with window functions
Learn about and create window functions within Power BI to analyze data over a set period of time.
3
Looking ahead with forecasting
Learn the basics of forecasting and how to predict values in the future using different methods in Power BI.
Time Series Analysis in Power BI
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FAQs
What datasets are analyzed for time series in this Power BI course?
You will analyze Superstore point-of-sale data across various locations and times, then work with Microsoft stock data from NASDAQ to practice forecasting techniques.
Does this course teach forecasting in Power BI?
Yes. You will learn to forecast data into the future using both built-in Power BI algorithms and custom DAX formulas applied to financial stock data.
What types of time-based calculations will I learn?
You will calculate changes using window functions, period-to-date aggregations, and period-over-period comparisons, building a comprehensive toolkit for analyzing data over time.
How long does this course typically take to complete?
The course has 3 chapters and 37 exercises. The median completion time is about 4.1 hours, making it one of the longer intermediate Power BI courses.
What prior Power BI knowledge do I need?
You should have completed Introduction to Power BI, Data Modeling, Exploratory Data Analysis, and both Introduction to DAX and Intermediate DAX in Power BI.
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