Creating Features for Time Series Data
About this Course
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. In this course you learn to perform motif analysis and implement analyses in the spectral or frequency domain. You also discover how distance measures work, implement applications, explore signal components, and create time series features. This course is appropriate for analysts with a quantitative background as well as domain experts who would like to augment their time-series tool box. Before taking this course, you should be comfortable with basic statistical concepts. You can gain this experience by completing the Statistics with SAS course. Familiarity with matrices and principal component analysis are also helpful but not required.Created by: SAS
Related Online Courses
Although traditional marketing strategies are still used, companies continue to shift their focus to digital approaches such as search engines, social media. These technologies take into account... more
Petroleum Engineering with AI Applications offers a comprehensive learning experience combining upstream and midstream operations with AI. The course covers the oil and gas field life cycle,... more
For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken... more
This course, part 1 of a 2-course sequence, examines the history of rock, primarily as it unfolded in the United States, from the days before rock (pre-1955) to the end of the 1960s. This course... more
In this specialization, students will explore the continually evolving platforms and channels of digital marketing and learn how to define and build an audience through social media, search engine... more
Powered by
