Chevron Left
Volver a Practical Time Series Analysis

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

1,559 calificaciones

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.

Filtrar por:

351 - 375 de 436 revisiones para Practical Time Series Analysis

por A.S.Uday K

7 de abr. de 2020

por PREM P

2 de ene. de 2019

por Pradeep M V

6 de jul. de 2020

por Feliks

8 de abr. de 2020

por Nikhil S

29 de jul. de 2020

por Ritika A

2 de nov. de 2020

por Neil T

1 de oct. de 2019

por Abhay k

17 de jul. de 2020

por Bhavya K

29 de sep. de 2021

por Roberto R

4 de oct. de 2020

por Nafis S

30 de mar. de 2020

por Wiro K

14 de nov. de 2020

por Angelo F

31 de ago. de 2018

por Dhruv G

17 de may. de 2020

por Dheeraj T

16 de ene. de 2018

por Jo L

19 de may. de 2022

por Supakrit N

9 de jul. de 2019

por Weili S

6 de feb. de 2021

por Parikshit B

10 de sep. de 2019

por 李欣儒

2 de feb. de 2019

por Nero

16 de sep. de 2022

por Abdul A S

31 de mar. de 2020

por Roman P

27 de jun. de 2018

por Ramprakash V

15 de oct. de 2019

por Ken K

2 de abr. de 2021