Udemy - Time Series Analysis and Forecasting Model in Power BI

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Time Series Analysis and Forecasting Model in Power BI [TutsNode.com] - Time Series Analysis and Forecasting Model in Power BI 2. Time Series Forecasting and Advanced Error Handling
  • 1. Generate Univariate Data for Analysis.mp4 (73.0 MB)
  • 1.1 GOOG.csv (108.4 KB)
  • 4. Advanced Error Handling - Create Date Table in Power Query.srt (11.9 KB)
  • 2. Apply Forecast Line - Monthly.srt (9.9 KB)
  • 3. Assess Model Accuracy.srt (8.2 KB)
  • 10. Can you predict the stock price of NIKE.html (0.2 KB)
  • 8. Questions - Time Series Exponential Smoothing.mp4 (67.8 MB)
  • 8. Questions - Time Series Exponential Smoothing.srt (7.8 KB)
  • 1. Generate Univariate Data for Analysis.srt (7.1 KB)
  • 6. Advanced Error Handling - Fill Blanks With Values.srt (5.5 KB)
  • 9. Further Reading - Describing the Forecasting Models in Power BI.html (5.4 KB)
  • 5. Advanced Error Handling - MergeJoin Tables in Power Query.srt (4.5 KB)
  • 7. Apply Forecast Line - Daily.srt (3.8 KB)
  • 2. Apply Forecast Line - Monthly.mp4 (66.9 MB)
  • 4. Advanced Error Handling - Create Date Table in Power Query.mp4 (60.7 MB)
  • 3. Assess Model Accuracy.mp4 (52.5 MB)
  • 6. Advanced Error Handling - Fill Blanks With Values.mp4 (37.8 MB)
  • 7. Apply Forecast Line - Daily.mp4 (37.6 MB)
  • 5. Advanced Error Handling - MergeJoin Tables in Power Query.mp4 (26.7 MB)
1. Introduction to Time Series Exponential Smoothing
  • 1. Introduction to Time Series Data.srt (1.4 KB)
  • 1.1 Time Series Forecasting in Power BI - Resagratia.pdf (91.3 KB)
  • 2. What is Time Series Exponential Smoothing.srt (2.0 KB)
  • 3. Forecasting Models in Power BI.srt (1.9 KB)
  • 4. What is Seasonality.srt (1.9 KB)
  • 5. Cyclical Datasets.srt (0.5 KB)
  • 6. Check Your Knowledge.html (0.2 KB)
  • 2. What is Time Series Exponential Smoothing.mp4 (14.9 MB)
  • 1. Introduction to Time Series Data.mp4 (13.0 MB)
  • 3. Forecasting Models in Power BI.mp4 (12.2 MB)
  • 4. What is Seasonality.mp4 (11.5 MB)
  • 5. Cyclical Datasets.mp4 (5.3 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
    • .pad
    • 0 (0.2 KB)
    • 1 (123.1 KB)
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    • 4 (28.9 KB)
    • 5 (183.8 KB)
    • 6 (127.1 KB)
    • 7 (65.2 KB)
    • 8 (118.3 KB)
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    • 10 (101.9 KB)
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Description


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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Udemy - Time Series Analysis and Forecasting Model in Power BI

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Download torrent
481.3 MB
seeders:12
leechers:4
Udemy - Time Series Analysis and Forecasting Model in Power BI

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