Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN
Sub Category
- Data Science
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Objectives
- Get a solid understanding of Time Series Analysis and Forecasting
- Understand the business scenarios where Time Series Analysis is applicable
- Building 5 different Time Series Forecasting Models in Python
- Learn about Auto regression and Moving average Models
- Learn about ARIMA and SARIMA models for forecasting
- Use Pandas DataFrames to manipulate Time Series data and make statistical computations
Pre Requisites
- Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the same
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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Coupon Code(s)