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

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