Udemy - Time Series Analysis and Forecasting Model in Power BI

[ FreeCourseWeb.com ] Time Series Analysis and Forecasting Model in Power BI



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 14 lectures (1h 19m) | Size: 459 MB

Learn how to use Power BI for time series exponential smoothing and handle errors using advanced Power Query techniques

What you'll learn:

Visualise time series data in Power BI

Apply and manipulate time series exponential smoothing forecast

Transform unstructured data into time series data

Understand time series theory, and the concepts of seasonal and cyclical data

Handle time series forecasting errors using advanced techniques in Power Query

Compare actual values versus forecast values



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



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.



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