автор: Michail K•
18 сент. 2021 г.
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.
автор: SERDAR F•
13 сент. 2022 г.
Great course to gain fundemantals of Time Series Analyses for Demand Forecasting..
автор: Khoa N M•
5 нояб. 2021 г.
I learnt a lot from this course.
автор: Hediyeh S•
11 мар. 2022 г.
I think it needs to complete more.
автор: Sebastian R•
27 сент. 2021 г.
the assingment have some errors in the instuctions, the objectives described are not graded correctly
автор: florence b•
20 сент. 2021 г.
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.
автор: Brandon B•
9 мар. 2022 г.
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 янв. 2022 г.
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.
автор: Javier A N•
30 мая 2022 г.
Muy confuso con poca practica, creo que cuando el objetivo es programar es esencial tener los recursos para poder crear los códigos, .
автор: Serge K•
7 дек. 2021 г.
Inconsistent, no feedback or answers to any questions at all