Python for Time Series Analysis and Forecasting (Udemy.com)

Die Inhalte werden vom Sprecher gut erklärt. Der eingeblendete Text enthält leider viele falsche Wörter. Es macht den Eindruck, als würde eine automatische Spracherkennung verwendet, die mittelmäßig funktioniert. Beispielsweise wird aus "R" -> "out world". Insbesondere wenn man mal ein wort nicht verstanden hat ist der Text leider nicht hilfreich.

it covers a great deal of material but in a rushed manner. I think a great way to compensate this would be to add additional homeworks with various cases. For example add one or two homeworks on multivariate. Also add more complex cases and how to tackle them

Really helpful with many examples to follow through. Learnt more about time series analysis. Provides good hands on with the python libraries to use for time series analysis. Although we still have to put some effort to learn different options in the methods used.

I Had problems with prophet library. I took me many time to put it to work. In general I understood all topics, however, some times I culdn't catch some ideas but I know that I need practice and expertice. Topics I didn't understand well: Amount of lags How to read PACF and ACF plots

The course was good overall but the videos were kind of monotonous and felt more robotic than human. The concepts could have been explained more intuitively because I had a really hard time understanding why things are being done sometimes. But this is my personal experience and could be because I am relatively new to this field. Thanks for putting out this course!

Another highly educational course by Martin. If you've taken other courses by Martin, you'll know that he's extremely technical. No hype. No mistakes (I've spotted). He knows his material through and through ...and the material is by no means simple. He's visuals are always carefully prepared. No copy and paste with Martin. Kudos

Great Course for a beginner like me. Helps to have a better understanding of how Python can be used for time series forecasting. also explains concepts like stationarity, autocorrelation. In all, A good introductory course. Will still require more practice and more cases to master the topic. Thank you R-Tutorials Training.

The video course is great for a beginner to time series analysis. I already knew some Python but as far as time series skill are concerned this was new terrain for me. Overall the course has an intuitive structure and the videos are well edited. The timing of slides and text is really helpful.

Nice course so far. Instructor seems knowledgeable and the video quality is great in combination with all the slides and supplementary materials. Overall there are some things in the course that are now shown elsewhere. Finding these things myself would have cost me a lot of time. For me that was money and time spent well.

Nice course, but somewhat superficial. For instance, it talks about exponential smoothing but does not show the formulas underneath. I would have liked more details on the algorithms, how the fitting works, etc. Still, it was useful and I enjoyed it.