UDUdemy
Time Series Analysis and Forecasting with Python
Intermediate 11 hours English Course Certificate
Our recommendation
A Udemy course covering time-series analysis and forecasting from classical methods to deep learning — decomposition, stationarity, ARIMA and SARIMA, Facebook Prophet, and neural approaches. Comprehensive and hands-on in Python, for people who know some Python and statistics and want practical forecasting skills.
Skills you'll gain
Time seriesForecastingARIMAProphetPythonDeep learning
Is this course right for you?
A good fit if you…
You know Python and some statistics
You want practical forecasting
You want breadth of methods
Consider something else if you…
You lack Python or statistics
You want pure theory
You already forecast well
About this course
This course covers time series analysis and forecasting from classical methods to deep learning: decomposition, stationarity testing, ARIMA and SARIMA models, Facebook Prophet for trend and seasonality modeling, and LSTM neural networks for sequence forecasting.
What you'll learn
Decompose time series into trend, seasonality, and residual components
Test for stationarity and apply differencing to prepare series for modeling
Build ARIMA and SARIMA models with proper parameter selection
Use Facebook Prophet for automatic trend and seasonality modeling
Apply LSTM neural networks to multi-step time series forecasting
This course includes
11h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Udemy lists a high price but the course is nearly always on sale for roughly $12–20 with lifetime access — wait for a discount rather than paying full price.
Comparison · LBS
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Is the certificate recognised?
You receive a Udemy completion certificate — a learning record, not a formal or accredited qualification.
Instructor
FK
Frank Kane
Udemy instructor
80K+ learners12 courses4.4 instructor rating
Taught by data science practitioners on Udemy specializing in applied forecasting for business and operational use cases.
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
Frequently asked questions
Yes — it is hands-on in Python and assumes some statistics.
Ignore the list price — Udemy runs near-constant sales, so it is usually around $12–20 with lifetime access.
Decomposition, stationarity, ARIMA and SARIMA, Facebook Prophet, and deep-learning approaches.
This Udemy course is broader (classical through deep learning); DataCamp's is a shorter, focused statistical intro.
It shows completion; the value is the forecasting skills.