Best explanation of the key concepts in short time. Well done.
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Time Series Mastery: Forecasting with ETS, ARIMA, Python
This course is part of Modern Data Analytics with Python, Excel & Generative AI Specialization
Instructors: Diogo Resende
2,189 already enrolled
Included with 
4.0
(40 reviews)
Beginner level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
Analyze real-world data to identify patterns and make accurate predictions.
Create advanced forecasting models using Python.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Modern Data Analytics with Python, Excel & Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Status: Preview
Status: PreviewThe State University of New York
Status: Free Trial
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4.0
40 reviews
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KK
5
Reviewed on Oct 17, 2024
NE
4
Reviewed on Jun 13, 2024
I think it was too basic, it lacks more a deeper dive into theoretical aspects and importance about the different scores that the summary of the model provides. However it's a good introduction
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