Time Series Analysis

Categories: Data Science
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About Course

 Learners will analyze and forecast temporal datasets, exploring real-world applications in economics, health, and climate.

What Will You Learn?

  • Recognize components of time series data.
  • Build forecasting models using Python/R.
  • Apply results to real-world forecasting problems.

Course Content

Time series structure (trend, seasonality, noise)

Forecasting methods: ARIMA, exponential smoothing

Tools: Python (statsmodels, Prophet), R (forecast)

Case study: forecasting economic indicators

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