Torrent details for "Udemy - Time Series Analysis and Forecasting Model in Power BI"    Log in to bookmark

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English English
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481.33 MB
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9ddfc849b38b15666bf800268ec6345f40b272ce
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03-01-2021 14:08
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Description

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.
Who this course is for:

   Business analysts interested in time series analysis
   Finance professionals curious about Power BI and trend analysis
   Python developers curious about Power BI and trend analysis
   Power BI and Excel users interested in trend analysis
   Business professionals curious about Power BI, forecasting and time series analysis

Requirements

   A prior, basic understanding and usage of Power BI is recommended
   Prior experience using Power Query or writing M scripts is useful but not required
   An interest in stock trading is appreciated but not required
   Have Power BI desktop and Microsoft Excel installed

Last Updated 12/2020

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