Language:
English
Pages:
1 online resource (1 video file, approximately 6 hr., 2 min.)
Edition:
1st edition
Keywords:
Electronic videos ; local
;
Electronic videos
Abstract:
Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 5+ Hours of Video Instruction Overview Times Series Analysis for Everyone LiveLessons covers the fundamental ideas and techniques for the analysis of time series data. This course introduces you to the basic concepts, ideas, and algorithms necessary to develop your own time series applications in a step-by-step and intuitive fashion. The lessons follow a gradual progression, from the more specific to the more abstract, taking you from the very basics to some of the most recent and sophisticated algorithms. About the Instructor Bruno Goncalves is a senior data scientist in the area of complex systems, human behavior, and finance. He has been programming in Python since 2005. For more than ten years, his work has focused on analyzing large-scale social media datasets for the temporal analysis of social behavior. Skill Level Intermediate Learn How To Use Pandas for time series Create visualizations of time series Transform time series data Apply Fourier analysis Utilize time series correlations Understand random walk models Explore and fit ARIMA models Explore and fit ARCH models Integrate machine learning into time series analysis Integrate deep learning into time series analysis Who Should Take This Course Data scientists with an interest in time series data analysis Course Requirements Basic algebra, calculus, and statistics and programming experience Lesson Descriptions Lesson 1: Pandas for Time Series Pandas was originally developed for financial applications. As such, it was developed with time series support from day one. In this lesson we review some of the fundamental features of pandas that we use in the remainder of the course. Lesson 2: Visualizing Time Series Modeling Visualization is a fundamental first step when exploring and understanding a new dataset. Here we visualize and highlight important features of the example time series we will analyze in detail. Lesson 3: Stationarity and Trending Behavior Time series can exhibit characteristic types of behavior, such as trends, seasonal, and cyclical patterns. In this lesson you learn how to identify each of these behaviors and to remove them...
Note:
Online resource; Title from title screen (viewed September 1, 2021)
,
Mode of access: World Wide Web.
Permalink
