Exploratory analysis and predictive modeling of time series is an enormously important part of practical data analysis. From basic processing and cleaning to statistical modeling and analysis, Python has many powerful and high productivity tools for manipulating and exploring time series data using numpy, pandas, and statsmodels.

We will use practical code examples to illustrate important topics such as:

-handling of missing data
-intraday data filtering
-moving window computations
-analysis of autocorrelation
-predictive time series models
-time series visualizations

j vimeo.com/63288544

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