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Learner Reviews & Feedback for Time Series Forecasting and ARIMA Models in Python by Coursera Project Network
24 ratings
About the Course
In this 2-hour long guided tutorial, you will learn how to use ARIMA model for time series analysis and forecasting. Time series exists every where in our life from nature to stock market. You will learn how to do the basic statistical tests for times series and implement them in Python.
By the end of this tutorial you will be able to understand times series concepts and analyze different datasets.
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1 - 6 of 6 Reviews for Time Series Forecasting and ARIMA Models in Python
By Muhammad M
•Dec 26, 2020
informative
By Snigdha
•Jan 5, 2021
It's a good introduction to python code for Time Series modelling, but pretty basic. Needs more advance topics and models and explanation on Python's time series packages and capabilities.
By Keith N
•Jan 24, 2021
Very hard to understand what instructor on video. There doesn't seem to be QC of the audo/video of the course.
By Jeevan A
•Mar 7, 2021
No reasonable explanation of the theory, do just for sake of completion. Not recommended at all.
By Gardiner W v T
•Feb 3, 2021
Unless you want to slowly watch and follow someone typing commands in a Jupyter notebook I would not recommend this course.
By Muhammad U B T
•Jan 22, 2021
It's very poorly explained.
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