Udemy – Feature Engineering for Time Series Forecasting 2024-4

Udemy – Feature Engineering for Time Series Forecasting 2024-4 Downloadly IRSpace

Apr 17, 2025 - 10:24 Updated: Aug 17, 2025 - 11:11

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Udemy – Feature Engineering for Time Series Forecasting 2024-4

Feature Engineering for Time Series Forecasting is the most complete online course on feature engineering for time series forecasting. In this course, you will learn different feature engineering methods for extracting and creating features from time series so that you can extract features suitable for use in off-the-shelf regression models such as linear regression, random forest, and gradient boosting machines.

What you will learn in this course:

How to use traditional machine learning models
How to impute missing data for time series forecasting
How to create features from past data through windows and delays
How to encode categorical variables for predicting time series
Predicting several steps into the future (several steps ahead instead of just one step ahead)
How to transform time series into a table of predictable features
How to identify and remove outliers in time series forecasting
and much more

Who is this course for:

Those who want to pre-process datasets for time series
Data scientists who want to learn feature engineering techniques for time series forecasting
Data scientists who want to improve their coding skills for feature engineering
Data scientists who want to learn more techniques for feature engineering

Course specifications:

Publisher : Udemy
Instructor : Soledad Galli , Kishan Manani
Language : English
Level : intermediate
Duration : 16h 11m
number of lessons : 122

Course contents

01 – Welcome
02 – Tabularizing time series data
03 – Challenges in feature engineering for forecasting
04 – Time Series Decomposition
05 – Lag Features
06 – Window Features
07 – Trend Features
08 – Seasonality Features
09 – Date and Time Features
10 – Final bonus section

Requirements :

A Python installation
Jupyter notebook installation
Python coding skills
Some experience with Numpy, Pandas and Matplotlib
Familiarity with Scikit-Learn
Familiarity with machine learning algorithms

Photos of Feature Engineering for Time Series Forecasting

Sample clip:

Installation guide :

After extracting, you can watch the course with your favorite video player.

Subtitle : English

Quality : 720p

Changes:

Version 2024/4 compared to 2023/1 has decreased the number of 20 lessons and the duration of 2 hours. English subtitles have also been added to the course.

Udemy – Feature Engineering for Time Series Forecasting 2024-4