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Practical Time Series Analysis

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!

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Coursera

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The State University of New York

Rating 4.5 based on 146 ratings
Length 7 weeks
Starts Aug 19 (6 days 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

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What people are saying

According to other learners, here's what you need to know

time series analysis in 25 reviews

The code meets its objective of teaching practical time series analysis.

It is a smooth introduction to time series analysis, very well explained and guided through multiple examples.

This is a great course that provides strong introduction to time series analysis and forecasting.

I have found the mathematical formulations in time series analysis very useful.

Highly recommended Practical Time Series Analysis help me understand more advanced statistical techniques.

If you have some Math background, this course gives a good practical introduction to Time Series Analysis.

This was a good introduction to time series analysis.

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highly recommend in 10 reviews

It's very good for beginners.i highly recommended it.

Great course, I highly recommend!

I highly recommend it.

a great course for time series and forecasting, highly recommend :) Excellent course.

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my opinion in 7 reviews

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.

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more advanced in 6 reviews

(Or are you actually considering open another course with more advanced technique?

I hope the lecturers could provide more advanced classes.

I missed more advanced content, discussions between different forecasting techniques, multivariate forecasting...It is pretty basic.

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recommend this course in 5 reviews

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.

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very nice in 4 reviews

Very nice course Very nicely organized course, the lecturers achieved a good balane between theory and practice.

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.

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Coursera

&

The State University of New York

Rating 4.5 based on 146 ratings
Length 7 weeks
Starts Aug 19 (6 days 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

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