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Time Series Analysis (ARIMA) with R
In this project, you will learn to conduct a thorough analysis of a time series data using ARIMA. The project explains the basic concepts of time series analysis and illustrates the same with hands-on activity on R Studio. It describes the types of time series data and its distinct components. The project covers how to conduct diagnostic tests to check for core assumptions of ARIMA, evaluating model process and orders from ACF, PACF graphs. Finally, it derives best fit model to forecast future values.
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| Rating | Not enough ratings |
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| Length | 2 weeks |
| Effort | 2 hours |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Barsha Saha |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Social Sciences Data Science Business |
| Tags | Social Sciences Data Science Data Analysis Economics |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 2 hours |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Barsha Saha |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Social Sciences Data Science Business |
| Tags | Social Sciences Data Science Data Analysis Economics |
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