Time Series Analysis in Python (Udemy.com)

Ein exzellenter, konzentrierter Kurs über die verschiedenen ARMA-Modelle. Manche Erklärungen laufen sehr schnell; diese muss man mehrere Male anhören. Das einzige, was ich vermisse, ist eine begleitende Literatur, in der man einige komplexe Zusammenhänge nachlesen kann. Vielleicht kann man diese Literatur-Angaben nachliefern. Vielen Dank JvdL

Good overview of many ts models, i have learned a lot. I regret that you haven't focus on forecasting, ex. profits or sales than stock market prices. Unfortunately i haven't found answer how to deal with returns in forecasts. We don't have real values, only values in return form, and what then, how to present them to answer question: "how would be the price after 10 periods"

As with other 365 Careers courses, the explanations are clear, well-thought out in advance, and at a pace that makes them easy to absorb. The course has a fair amount of repetition, however that is a strength as reinforcement is key for a topic such as this along with the related coding practices specific to it. The stock index examples work well enough for the most part though datasets that lend themselves better to out-of-sample forecasting would be preferred. All in all, this course did an excellent job of filling in some of the conceptual gaps in my understanding of the subject matter and would recommend it to others.

I started hopeful, and ended excited. I started wishful and ended hungering for more. I am so glad i took up this course, the most important thing it did for me is to first clear my head of the 'Python is complex' thoughts filled in it and made me see I could master the use of Python in data Analytics. i am currently trying to join my Finance trying with Data Analytics and this course has made me realize my dreams can be a reality. With joy in my heart, I look forward to the interesting Data Analytics course. Thanks Career 365.

Absolutely learned a lot during this course... most importantly, thank you for opening up further gateways to go beyond with this set of knowledge. this course really made it easier for me. Thank you for your good and hard work 365 career. REALLY LIKE THIS COURSE

What a wonderful course!!! I was assigned a Time Series POC at my work, so I finished this course in 3-days and did a hands-on on the data I had in my project and I can't tell you how good this course was for me in understanding the Time-Series at least at a level to get started decent results in the project. Looking forward to more of such content. Thanks Vik.

The course is quite comprehensive and well explained. Given the complexity of the subject, I would recommend to go through the lecture multiple times until you get the clear understanding of it. Every single statement in this lecture is worth 100% of your attention and focus. Bear with it, spend some time into it and you would find yourself an expert in time series as course completes. I would request the instructor to elaborate more on the theoretical part.

It is excelent! However, some of the mathematical explanations for statistics are a bit complex and my suggestion is to elaborate a bit more on their explanation. Giving positive and negative examples is helping a lot with getting the intuition behind the calculations.

The professor was excellent and I believe that I got a lot out of the course, however, the forecasting part was very disappointing. It lacked forecasting evaluation and realistic forecasting methods (given that in most real-case scenarios using exogenous variables is not realistic).

This course gives a strong foundation of time series analysis. It is important that a student already has a working understanding of Python before taking this course. If you do - this course is great because it skips any basic concepts and gets straight to the time series part. The course provides excellent theoretical descriptions of time series concepts like stationarity and random walks. It then walks through many different ways in which we can model the data. Now that a forecasting section and business case have been added to the end of the course, you then get to apply all of the theory you have learned. Very good course offering the foundations of time-series analysis.