por Michail K•
18 de sep. de 2021
Completely frustrated. They do not let the students know where the dataframes are, in order to be able to practice along the course. I searched on the course forum and there were other students asking the same questions. Where are the dataframes to practice?? No answer from anyone. I feel that I wasted my time.
por SERDAR F•
13 de sep. de 2022
Great course to gain fundemantals of Time Series Analyses for Demand Forecasting..
por Khoa N M•
5 de nov. de 2021
I learnt a lot from this course.
por Hediyeh S•
11 de mar. de 2022
I think it needs to complete more.
por Sebastian R•
27 de sep. de 2021
the assingment have some errors in the instuctions, the objectives described are not graded correctly
por florence b•
20 de sep. de 2021
Nice tutorials for an introduction but absence of statistical tests to assess the characteristics of the time series at hands. Be careful in the assignments (one test set before the lesson on ARIMA for example). There are typos in the task description from the final assignment which can be misleading and very frustrating by dealing with the automatic script correction.
por Brandon B•
9 de mar. de 2022
I took this course to learn ARIMA; however the instructor doesn't cover how the model works or how the hyperparameters affect it. They only talk about autoregression, not the integration or moving average comonents. Also the Jupyter notebooks that are used during the lecture are not available for download.
18 de ene. de 2022
The assignments are not clear and misleading. It asks an autocorrelation with a lag of 20, but the correct answer is the autocorrelation with a lag of 10. Also same video is uploaded in week 1 and week 2.
por Javier A N•
30 de may. de 2022
Muy confuso con poca practica, creo que cuando el objetivo es programar es esencial tener los recursos para poder crear los códigos, .
por Serge K•
7 de dic. de 2021
Inconsistent, no feedback or answers to any questions at all