Exploratory Data Analysis (EDA) of Financial Time Series using Python | Visualisation of Time Series

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#timeseries #EDA #exploratorydataanalysis
Exploratory Data Analysis is an integral part of data analysis. It is the first step for Statistical Modelling. In this video we demonstrate how to perform exploratory data analysis of Time Series Data using Python. We use a variety of Python libraries such Pandas, Numpy, Statsmodel, Matplotlib for this analysis. EDA is very useful before you build any Statistical or Machine Learning models. In particular, this analysis is useful during modelling of Time Series models such as ARIMA, LSTM etc. In this example, we take stock index price data (Nifty Index data) and return data for the demonstration purpose.

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For the notebook and the dataset, please comment your email id. We would send it to your email id

AnalyticsUniversity
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MA(x) doesn’t make sense for returns….? Sounds like Bad advice.

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