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Time Series

curated by Camillo

23 people already started

About this learning path

Time Series

A series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. An example of time series is the daily closing value of a stock price.

Time Series comes from the learning path of Data .
The Time Series path can be specialized into Panel Data .
Time Series is particulary useful for Econometrics & Financial Markets & Digital Signal Processing & Recurrent Neural Networks .

Web resources
Start immediately and learn at your own pace.

Flexible schedule
Set and adhere to flexible deadlines.

Approx. 3 months to complete
Recommended 12 hours/week

Mostly English

Curator

Camillo Rohe curates
Time Series

This How it Works

You work from module to module. In each module you'll find resources containing:

1. Information

2. Educational content

3. Places to exchange infos

4. Applications, Tools

( 5. Entertaining content )

After studying a resource, you check it.

Learning Path

Module

1

»

Market trend Concept

»

Seasonality Concept

»

Autocorrelation Concept

Module

2

 

Moving average Indicator

 

Sequences, Time series and Prediction Online Course

Module

3

»

Autoregressive model

»

Autoregressive–moving-average model Model

Module

4

 

Prophet Library