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  • Course

Mining Data from Time Series

Master time series analysis in Python and be able to produce powerful quantitative forecasts.

Advanced
2h 59m
(27)

Created by Martin Burger

Last Updated Sep 24, 2019

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  • Course

Mining Data from Time Series

Master time series analysis in Python and be able to produce powerful quantitative forecasts.

Advanced
2h 59m
(27)

Created by Martin Burger

Last Updated Sep 24, 2019

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This course is included in the libraries shown below:

  • AI
  • Data
What you'll learn

Are you struggling with the analysis of time series data or do you want to create a powerful quantitative forecasting model in Python? In this course, Mining Data from Time Series, you will gain the ability to model and forecast time series in Python. First, you will learn about time series data, which is data captured along a timeline with specific statistical traits crucial for any model. Then, you will see the statistical foundations first before diving into the classic time series models of ARIMA, seasonal decomposition as well as exponential smoothing. Finally, you will explore some advanced concepts like the new Prophet package from Facebook or multivariate time series. When you are finished with this course, you will have the skills and knowledge of time series analysis needed to model and forecast standard univariate time series data sets.

Mining Data from Time Series
Advanced
2h 59m
(27)
Table of contents

About the author
Martin Burger - Pluralsight course - Mining Data from Time Series
Martin Burger
18 courses 4.6 author rating 181 ratings

Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com

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