Pearson – Times Series Analysis for Everyone Sneak Peek-OXBRiDGE
English | Size: 10.91 GB
Category: Tutorial
5+ Hours of Video Instruction
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
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
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
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