Master Time Series & Forecasting: ARIMA, SARIMA, Prophet, and Python for practical business predictions.
Sub Category
- Other IT & Software
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Objectives
- Understand the fundamental components and characteristics of time series data, including trend, seasonality, and cycles.
- Perform exploratory data analysis (EDA) on time series data to identify patterns, anomalies, and underlying structures.
- Master concepts like stationarity, autocorrelation, and partial autocorrelation for time series modeling.
- Apply classical statistical forecasting models such as Autoregressive (AR), Moving Average (MA), and ARIMA.
Pre Requisites
- Basic understanding of Python programming (variables, functions, data structures)
- Familiarity with fundamental statistical concepts (mean, variance, standard deviation)
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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