The virtual course "Practical analysis of time series - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 26 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts.
We train in science, business or engineering and then we are faced with data for which we have no formal analytical training.
This course is designed for people with some technical skills who would like more than a "cookbook" approach, but still need to focus on the types of routine presentation and analysis that deepen 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, commodity prices, and more.
We discuss various mathematical models that could be used to describe the processes that generate this type of data.
We also look at graphical representations that provide information about our data.
Finally, we also learn how to make forecasts that tell intelligent things about what to expect in the future.
Please take a few minutes to explore the course site.
You'll find video lectures with supporting written materials, as well as quizzes to help emphasize important points.
The course language is R, a free implementation of the S language.
It is a professional environment and quite easy to learn.
You can discuss the course material with your fellow learners.
Please take a moment to introduce yourself! Time series analysis can take some effort to learn: we've tried to present those ideas that are "mission critical" in a way where you understand enough of the math to feel satisfied while also being immediately productive.
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State University of New York
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