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Opiniones y comentarios de aprendices correspondientes a Practical Time Series Analysis por parte de Universidad Estatal de Nueva York

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Acerca del Curso

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future. Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn. You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself! Time Series Analysis can take effort to learn- we have tried to present those ideas that are "mission critical" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!...

Principales reseñas


6 de abr. de 2021

It is a very good course which builds on the basics of time series and also covers more advanced topics like SARIMA. The course contains ample examples which helped me better understand the material.


23 de ene. de 2020

Excelente, uno de los mejores cursos que he tomado. Lo más importante es que se practica muy seguido y hay examenes durante los vídeos. Si hay un nivel más avanzado de este tema, seguro que lo tomo.

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76 - 100 de 441 revisiones para Practical Time Series Analysis

por Ailson R

27 de nov. de 2022

Curso muito bom. Consegue passar uma visão mais acadêmica dos tópicos, aproveitando os conteúdos de cálculos abordados em cursos iniciais de exatas. Contém bastante prática e material de apoio para auxiliar no aprendizado.

por Mohammed A Y

18 de jun. de 2020

Very useful course if you are looking to get a good insight into time series analysis using R software. they structure of the course is well organised with a lot of practical examples with great support from the instructors.

por Willians B d A

8 de abr. de 2020

Was a great time of learning and discovering about what exists behind the time series analysis. The professors were fundamental and they are awesome, doing a great job simplyfing the concepts and explaining with a soft pace.

por Maurizio L R

26 de feb. de 2018

I found the course to be interesting, well organized and well taught, the teachers give intuitions and mathematical justifications to the theory and they provide extensive simulations and practical examples.

Very recommended.

por Victor Z

3 de sep. de 2018

A very interesting and well made course that I would recommend to students and professionals. A possible enhancement would be including a discussion on the ranges of applicability of ARIMA and smoothing forecasting methods.

por Kuldeep J

15 de jul. de 2020

All major aspects of time series analysis has been covered thoroughly. The best part is the focus on understanding the underlying math behind the library routines. That helps a lerner set a strong foundation in this area.

por Helena S d J

14 de jul. de 2020

My greatest congratulations. I have the feeling of understanding deeply and being able to apply Time Series Analysis and forecasting. Excellently explained and excellent examples with the use of R. Thank you very much.

por Ravichandran S

29 de jul. de 2020

material was well structured and optimal for the duration of the course. The speakers were concise and clear. Code does not seem to be available in some cases but not a major impediment to completing the course

por Aman G

1 de feb. de 2020

The course gets you started with building models of time series dataset in almost no time. Though course does not cover in depth theory but the course do really says that it is a "Practical" Time Analysis Course.

por William G

29 de mar. de 2019

This course is great. It is the best that I have tried on the web. Clearly explained and the math is fair to understand the topics and be able to get the ideas clear. Even the code for R is a great way to learn!

por Gustavo H A d S

4 de oct. de 2021

Nice practical course. At first I was worried that it would be too superficial but it gives a little intuition about the math behind the models too. It works well as an introductory course for the main ideas.

por Sanjeev G

30 de ene. de 2020

An excellent course if you are looking to get working knowledge of time series analysis. Basic working knowledge of univariate statistics will go a long way in making the learning easier. I would recommend it.

por Ashok B

29 de sep. de 2019

Very useful course to establish the core fundamentals of time series data - which is very prevalent in real life. Instructors are really great and the quizzes are very well designed to reinforce the concepts.


20 de may. de 2022

El curso quer acabo de concluir me ha sido de gran beneficio por que los voy a aplicar en el estudio de los datos de la serie de tiempo del NDVI 3g - AVHRR para la predicción de la sequía en el Perú.

por Vinay B

25 de ago. de 2018

This is a phenomenal course if one wants to have a thorough understanding of how ARIMA forecasting is performed.

On top of that, this course is absolutely free (with an option to buy).

Thanks a lot !

por Luis C W

14 de jul. de 2019

This was a good introduction to time series analysis. The lessons were easy to follow without much difficulty. In my opinion, it could have been better if more practical examples were given.

por Rajat T

17 de jul. de 2020

Easily one of the best time-series courses online. Although it says "practical", there is plenty of good theory to back up the practice and at the same time not overwhelming or distracting.

por Harvinder S

8 de jun. de 2020

very good course with theortical explanation as well as practical implimentation.simulation of every model is very nice thing in the course that increase your understanding of the topic.

por Naseela P

30 de oct. de 2020

Very well instructed course. The teaching staff is phenomenal. Anybody trying to learn the basics of time series and develop a deep understanding will benefit alot from the course

por Deleted A

23 de abr. de 2018

I would definitely recommend this course. It is a smooth introduction to time series analysis, very well explained and guided through multiple examples. I found it really useful!

por Rohit S

17 de mar. de 2018

Really great lectures and clearly explaining the concepts and complicated models. In my opinion, a bit of practical applications of these models on Panel Data should be included.

por Ken W

26 de ene. de 2022

Good (and somewhat rigorous) overview of TS analysis techniques. I found the lecture notes to be very helpful and the R labs to be very interesting. Overall, a great course!

por Jerome A

7 de abr. de 2020

I really enjoyed learning this course. The videos were simple, and easy to follow, and the there were always supporting material available in the codes in notebook and in the

por joari c

14 de mar. de 2018

Very good introduction to Time Series with R. Emphases on concepts rather than on dry math, but also precise as needed. Good supporting material and excellent professors.

por Abhishek S

22 de mar. de 2020

Awesome course. Instructors taught mathematical aspects with their implementation which made the learning fun and understandable. I hope to see advance course of this.