Time Series Analysis in Python 2022 will teach you how to transform a data set into a time-series . Differentiates between time series data and cross-sectional data . Examine the crucial differences between related series like prices and returns . Encounter special types of time series like White Noise and Random Walks . Learn about accounting for “unexpected shocks” via moving averages . Discuss model selection in Python and how to use it for statistical analysis . Use the language of Python to help you understand the data in question and interpret the results based on the data . Use this book to help students learn more about time series analysis in the world of data analysis .Authentication failed. Unique API key is not valid for this user.
Who this course is for:
Aspiring data scientists.
Programming beginners.
People interested in quantitative finance.
Programmers who want to specialize in finance.
Finance graduates and professionals who need to better apply their knowledge in Python.
