Practical Time Series Analysis
Get a Reminder
Rating | 4.4★ based on 206 ratings |
---|---|
Length | 7 weeks |
Starts | Jul 17 (41 weeks ago) |
Cost | $49 |
From | The State University of New York via Coursera |
Instructors | Tural Sadigov, William Thistleton |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Math And Logic Probability And Statistics |
Get a Reminder
Similar Courses
What people are saying
series analysis
The code meets its objective of teaching practical time series analysis.
I have found the mathematical formulations in time series analysis very useful.
A good source of learning time series analysis and forecasting!
It is a great course to learn Time Series Analysis.
I would recommend the instructors to add ARIMAX and multivariate time series analysis in the course as well.
Very nice to review those old concepts Course is really good to know the in depth understanding of the various models working around for the time series analysis.
I liked this course for two reasons mainly:It started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r. Very good and structured lessons about fundamentals of time series modeling.
This is a great course for introduction to practical time series analysis.
Great content Grateful to the instructors for the engaging and fruitful learning I enjoyed in the course Practical Time Series Analysis!
great course even for newbies who're learning R. Good practical overview with lots of exercises The course gives really useful skills regarding time series analysis, but it seems a little bit forgotten by the authors since some links in the during the course are not working anymore ( for instance the link describing whether a seasonality is addictive or multiplicative "http://www.forsoc.net/2014/11/11/can-you-identify-additive-and-multiplicative-seasonality/".
I am not a big fan of R (even after this course) but it seems its time series analysis libraries and datasets are comprehensive.
Overall, this is a good course for beginners in time series analysis.However, I wish they had go beyond the basics.
Easy to understand I found this course to have the right mixture of math and practical examples to illustrate the approaches for time series analysis.
Overall, it is a pretty good course: in just a few weeks you are introduced to a satisfactory level of time series analysis with R even if your background in R and/or statistics is not that high.
Read more
introduction to time series
A complete introduction to Time Series, with a very good documentation.
It is a smooth introduction to time series analysis, very well explained and guided through multiple examples.
Very good introduction to Time Series with R. Emphases on concepts rather than on dry math, but also precise as needed.
This is a great course that provides strong introduction to time series analysis and forecasting.
Great introduction to time series with plenty of depth.
If you have some Math background, this course gives a good practical introduction to Time Series Analysis.
Course is good and intuitive and people not from non-mathematical/non-engineering backgroung may take more time in week 2 This is the first, and last, Coursera course i will do Exercises and Quizzes could be more complex The course is very good for an introduction to time series.
This was a good introduction to time series analysis.
This is a great introduction to time series analysis.
A great introduction to time series!
Very good and robust introduction to Time Series On other courses I received feedback on the forums in a prompt manner from the instructors, here none of my questions have been answered.
A very good introduction to time series analysis.
Nnice and smooth introduction to time Series that gives you a good basis to understand this topic.
Probably the best introduction to time series analysis I've ever seen.
Read more
highly recommend
Highly recommended Practical Time Series Analysis help me understand more advanced statistical techniques.
It's very good for beginners.i highly recommended it.
Highly recommended.
I highly recommend it.
a great course for time series and forecasting, highly recommend :) Excellent course.
Read more
recommend this course
I would definitely recommend this course.
highly recommend this course.
I would recommend this course.
I would look forward to see some more advance Time Series Courses like this.I would highly recommend this course to all the active learners willing to learn Time Series Analysis.
The second problem is that the tests are a bit easy and you can pass them without understanding by just trial and error.Overall I recommend this course for those that have little or no background in time series but would really like to dive into this topic.
Read more
very helpful
this course was very helpful Thanks for the course!
All quizzes and in lecture questions were very helpful.
Great course for info about time series.Some parts (especially week 3 and 4) could be less mathematical.Should emphaise more on identifying the ranks of the models, for example - keep those questions in the quizes.Some quiz questions felt too easy :) very helpful!
It was a very helpful course.
Very helpful!
I think the course is very helpful and you learn how to perform time series analysis.
Very helpful Love this course.
This course is very helpful with making all concepts and applications clear.
Read more
easy to follow
The lessons were easy to follow without much difficulty.
The class is easy to follow and the lecture notes are well prepared.
I mostly read the slides to learn the material, as I prefer to read material on my own, and the slides were informative and easy to follow.
Well presented material and relatively easy to follow.
Read more
my opinion
In my opinion, a bit of practical applications of these models on Panel Data should be included.
In my opinion, it could have been better if more practical examples were given.
In my opinion there should be more practical exercises.
Thank you :) It was more theoretical than practical, in my opinion Great introductory course on time series.
In my opinion, it should include more practical cases focus on give to students a hands on feel of what happens by under all the math explained here.
As I understand there is some rule of thumbs but deeper explanations are missing to me (i hope, that they exists).Anyway in my opinion is the best course in Time Series Analysis, that I ever had.
It is a perfect course for a beginer.In my opinion this course need some prerequisites in Calculus but even if one doesn't have he can complete ther course.
Read more
practical examples
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.
Excellent course, with practical examples and good explanation A very thorough course covering almost all the topics related to time series along with the math involved.
Well Structured with sufficient lectures, practical examples and quizzes.
Excellent introduction to the topic, and practical examples easy to apply to new data.
Great theories and practical examples.
Read more
more advanced
(Or are you actually considering open another course with more advanced technique?
I hope the lecturers could provide more advanced classes.
would be even better if there is a optional lecture to cover some of the more advanced time series models.
I missed more advanced content, discussions between different forecasting techniques, multivariate forecasting...It is pretty basic.
It would be useful to have a more advanced subsequent course with the same features.
Read more
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Adjunct Professor of Practical Theology $24k
Licensed Practical NurseRH BG $38k
Practical Examiner $45k
Lecturer in Practical Theology $46k
Licensed Practical or Vocational Nurse $48k
Licensed Practical Nurse Manager $52k
Licensed Practical Nurse Lead $63k
License Practical Nurse Manager $65k
Licensed Practical Nurse. $68k
Supervisor License Practical Nurse $70k
Licensed Practical Nurse (CLINICAL) $72k
Practical Process Improvement Project $99k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | 4.4★ based on 206 ratings |
---|---|
Length | 7 weeks |
Starts | Jul 17 (41 weeks ago) |
Cost | $49 |
From | The State University of New York via Coursera |
Instructors | Tural Sadigov, William Thistleton |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Math And Logic Probability And Statistics |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course