This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.
This course is part of the Analyzing Time Series and Sequential Data Specialization
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About this Course
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 3 in the
Intermediate Level
Approx. 7 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessFlexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 3 in the
Intermediate Level
Approx. 7 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
12 minutes to complete
Specialization Overview
12 minutes to complete
1 video (Total 2 min), 1 reading
26 minutes to complete
Course Overview
26 minutes to complete
1 video (Total 1 min), 2 readings, 1 quiz
2 hours to complete
Time Series Basics
2 hours to complete
13 videos (Total 28 min)
2 hours to complete
Distance Measures
2 hours to complete
8 videos (Total 20 min)
About the Analyzing Time Series and Sequential Data Specialization

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