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Time Series Forecasting and ARIMA Models in Python
In this 2-hour long project-based course, you will learn how to use ARIMA model for time series analysis and forecasting. Time series exists every where in our life from nature to stock market. You will learn how to do the basic statistical tests for times series and implement them in Python.
By the end of this project you will be able to understand times series concepts and analyze different datasets.
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 2 Hours |
| Starts | Mar 15 (earlier today) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Farhad Abdi |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 2 Hours |
| Starts | Mar 15 (earlier today) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Farhad Abdi |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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