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Time Series Analysis (ARIMA) with R
  • Level Intermediate
  • Duration 3 hours
  • Offered by

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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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Discover the intricacies of time series analysis with "Time Series Analysis (ARIMA) with R." This professional-level course, led by Coursera, delves into ARIMA model fundamentals and their practical application in R Studio. Perfect for data science and AI enthusiasts, it includes hands-on activities, diagnostic tests, and model evaluation techniques over 120 minutes. Available with a Starter subscription, it's ideal for professionals eager to master forecasting techniques.