Week 3 Welcome Video

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Destrezas que aprenderás

Time Series Forecasting, Time Series, Time Series Models

Revisiones

4.6 (926 calificaciones)
  • 5 stars
    68%
  • 4 stars
    25%
  • 3 stars
    6%
  • 2 stars
    1%
  • 1 star
    1%
LY

Aug 03, 2019

A nice course which is practical as the name said, it balanced the portion of theories and practices. I used to not familiar with this topic, but now I consider myself much more familiar.

MS

Feb 28, 2018

I have not completed the course yet, working on week 5. If you have some Math background, this course gives a good practical introduction to Time Series Analysis. I recommend it.

De la lección
Week 3: Stationarity, MA(q) and AR(p) processes
In Week 3, we introduce few important notions in time series analysis: Stationarity, Backward shift operator, Invertibility, and Duality. We begin to explore Autoregressive processes and Yule-Walker equations.

Impartido por:

  • Tural Sadigov

    Tural Sadigov

    Lecturer
  • William Thistleton

    William Thistleton

    Associate Professor

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