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
Download Links
Direct Download
Time Series Analysis and Forecasting Model in Power BI.zip (471.7 MB) | Mirror
Torrent Download
Time Series Analysis and Forecasting Model in Power BI.torrent (45 KB) | Mirror
Source : https://www.udemy.com/course/time-series-analysis-and-forecasting-model-in-power-bi/
