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Back to Time Series Mastery: Forecasting with ETS, ARIMA, Python

Learner Reviews & Feedback for Time Series Mastery: Forecasting with ETS, ARIMA, Python by Coursera Instructor Network

3.6
stars
18 ratings

About the Course

In today's data-driven world, the ability to accurately forecast and predict future trends is crucial for businesses to stay ahead of the competition. Time series analysis is a powerful tool that allows organizations to unravel patterns and make informed decisions. This course, Time Series Mastery: Unravelling Patterns with ETS, ARIMA, and Advanced Forecasting Techniques, provides a comprehensive introduction to time series analysis and forecasting. You will learn about the most widely used techniques, including Error-Trend-Seasonality (ETS), Autoregressive Integrated Moving Average (ARIMA), and advanced forecasting methods. By the end of this course, you will have the skills and knowledge to apply these techniques to real-world data and make accurate predictions. Targeted at business analysts, data scientists, financial analysts, and market researchers, this course provides essential skills and insights to excel in today's data-driven business environment, equipping learners with the tools to drive strategic decision-making and foster organizational growth....

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1 - 9 of 9 Reviews for Time Series Mastery: Forecasting with ETS, ARIMA, Python

By Kiran

•

Oct 17, 2024

Best explanation of the key concepts in short time. Well done.

By Or K K

•

Aug 4, 2024

Thanks!

By Nicolás E

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Jun 12, 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

By Esteban M

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Jul 9, 2024

missing some extra foundational math details to fully grasp how to use these tools. good course to start.

By John W

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Jul 19, 2024

No datasets provided, makes the course less useful.

By יובל כ

•

Oct 13, 2024

I expected a lot more.

By Teck H S

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Sep 17, 2024

Not worth the time to attend this course. Course title should be "... Brief Overview ,,," instead of "... Mastery..." There were typo-errors in the course slides. Coursera MUST audit the quality of courses introduced into the platform.

By Alexander K

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Aug 23, 2024

Not a course but trash! There is no dataset files to the course. Lecturer don't know PEP-8. pmdarima is bad library it calculates to long. Course structure is awful!

By Javier

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Sep 8, 2024

you did not post the course files. Even after several post asking for the files. I contacted support and they did not help either.