Week 3 Welcome Video

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강의 계획표 보기

배우게 될 기술

Time Series Forecasting, Time Series, Time Series Models

검토

4.6개(1,557개 평가)

  • 5 stars
    68.85%
  • 4 stars
    24.08%
  • 3 stars
    5.13%
  • 2 stars
    1.15%
  • 1 star
    0.77%

JM

2019년 3월 20일

This was a very good and detailed course. I liked this course for two reasons mainly:

It started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.

RT

2020년 7월 16일

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.

수업에서

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.

강사:

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    Tural Sadigov

    Lecturer

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    William Thistleton

    Associate Professor

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