Udemy – Time Series Forecasting with Python 2024-9
Published on: 2024-10-04 21:27:28
Categories: 28
Description
Time Series Forecasting with Python course. This course teaches you how to effectively analyze and forecast time series data using Python. This course is ideal for anyone looking to predict future trends in areas such as finance, sales and environmental science. You’ll begin by learning the basics of time series, including how to identify key features such as trend, seasonality, and noise. This course guides you in reading and writing time series data from Excel and enables seamless data integration. Also, you will explore various visualization techniques to help you explore and understand the structure of time series data, using real-world examples such as stock price analysis.
What you will learn in this course:
- Forecasting sales and revenue for a small business using Python
- Make accurate forecasts by learning about forecasting criteria and comparing multiple forecasting models and their parameters.
- Reading time series data from Excel files, manipulating data in Python, performing data cleaning and dealing with missing data
- Using prophet and seasonal ARIMA models to forecast complex time series with seasonality
- Understanding trend and seasonality in a time series and how to break down trend and seasonality
This course is suitable for people who:
- Business analysts
- Data scientists
- Small business owners
- Machine learning engineers
Details of the Time Series Forecasting with Python course
- Publisher: Udemy
- Instructor: SmartPy AI
- Training level: beginner to advanced
- Training duration: 2 hours and 11 minutes
- Number of courses: 19
Course headings
Time Series Forecasting with Python course prerequisites
- Elementary python experience with basics of pandas
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
Download file – 819 MB
File(s) password: www.downloadly.ir
File size
819 MB
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