Applied Time Series Analysis and Forecasting in Python

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting
4.61 (14 reviews)
Udemy
platform
English
language
Data Science
category
Akhil Vydyula
instructor
Applied Time Series Analysis and Forecasting in Python
6,682
students
8.5 hours
content
Jan 2023
last update
$64.99
regular price

What you will learn

Encounter special types of time series like White Noise and Random Walks.

Learn about accounting for "unexpected shocks" via moving averages.

Start coding in Python and learn how to use it for statistical analysis.

Comprehend the need to normalize data when comparing different time series.

Screenshots

Applied Time Series Analysis and Forecasting in Python - Screenshot_01Applied Time Series Analysis and Forecasting in Python - Screenshot_02Applied Time Series Analysis and Forecasting in Python - Screenshot_03Applied Time Series Analysis and Forecasting in Python - Screenshot_04
Related Topics
5118670
udemy ID
1/28/2023
course created date
4/4/2023
course indexed date
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