Week 3 Welcome Video

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Compétences que vous apprendrez

Time Series Forecasting, Time Series, Time Series Models

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4.6 (1,404 évaluations)

  • 5 stars
    68,80 %
  • 4 stars
    24,21 %
  • 3 stars
    5,05 %
  • 2 stars
    1,06 %
  • 1 star
    0,85 %

JM

20 mars 2019

Filled StarFilled StarFilled StarFilled StarFilled Star

This was a very good and detailed course. I liked this course for two reasons mainly:\n\nIt started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.

RT

16 juil. 2020

Filled StarFilled StarFilled StarFilled StarFilled Star

Easily one of the best time-series courses online. Although it says "practical", there is plenty of good theory to back up the practice and at the same time not overwhelming or distracting.

À partir de la leçon

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.

Enseigné par

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    Tural Sadigov

    Lecturer

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    William Thistleton

    Associate Professor

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