ZeroToMastery – Time Series Forecasting with Python 2025-4
ZeroToMastery – Time Series Forecasting with Python 2025-4 Downloadly IRSpace
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 : ZeroToMastery
- Teacher : Diogo Resende
- Language: English
- Level : All Levels
- Lectures : 135
- Duration : 10 hours
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: English
Quality: 1080p
download link
ZeroToMastery – 1080p quality – English subtitles
Udemy – 720p quality – no subtitles
File(s) password: www.downloadly.ir
File size
1.59 GB / 819 MB
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