How to forecast time series data - Stationarity & Transformation of Time Series Data (Part 1)

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Time series analysis is crucial in various fields, including economics, finance, meteorology, epidemiology, and engineering, among others. It provides valuable insights for decision-making, trend identification, and the development of predictive models.
00:00 What is stationarity in time series?
00:22 what is constant mean and variance in time series?
00:57 what is trend and seasonality in time series analysis?
01:31 Techniques for identifying trends and seasonality
02:00 Methods of testing for stationarity in time series
03:17 How autocorrelation can be used for stationarity of time series data
04:21 Limitations for using autocorrelation for stationarity
05:13 what is data transformation in time series?
05:41 Challenges of using data transformation in time series
06:39 Strategies to mitigate the challenges of data transformation
  1. CREDITS
  2. time series analysis
  3. time series analysis in statistics
  4. time series
  5. time series forecasting
  6. time series data
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