Business Online Course by Udemy, On Sale Here
Learn how to use Power BI for time series exponential smoothing and handle errors using advanced Power Query techniques
An excellent training about Business Analytics & Intelligence
Time Series Analysis and Forecasting using Power BI
In this course, students will learn about the forecasting models available in Power BI. By understanding how time series exponential smoothing works, students will be able to manipulate the forecast line efficiently for daily, monthly, and yearly predictions of univariate data. As part of the course, students will gain hands-on experience in advanced error handling techniques in Power Query and be able to tune parameters efficiently for cyclical and seasonal datasets. What youll learnVisualise time series data in Power BIApply and manipulate time series exponential smoothing forecastTransform unstructured data into time series dataUnderstand time series theory, and the concepts of seasonal and cyclical dataHandle time series forecasting errors using advanced techniques in Power QueryCompare actual values versus forecast valuesAre there any course requirements or prerequisites?A prior, basic understanding and usage of Power BI is recommendedPrior experience using Power Query or writing M scripts is useful but not requiredInterest in stock trading is appreciated but not requiredHave Power BI desktop and Microsoft Excel installedWho this course is for: Business analysts interested in time series analysisFinance professionals curious about Power BI and trend analysisPython developers curious about Power BI and trend analysisPower BI and Excel users interested in trend analysisBusiness professionals curious about Power BI, forecasting, and time series analysis
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