This course introduces you to the basic concepts, ideas, and algorithms necessary to develop your own 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.

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.

Intermediate

Use Pandas for series

Create visualizations of series

Transform series data

Apply Fourier analysis

Utilize series correlations

Understand random walk models

Explore and fit ARIMA models

Explore and fit ARCH models

Integrate machine learning into series analysis

Integrate deep learning into series analysis

Data scientists with an interest in series data analysis

Course Requirements

Basic algebra, calculus, and statistics and programming experience






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