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Time Series with Python : How to Implement Time Series Analysis and Forecasting Using Python by Bob Mather (2020, Trade Paperback)

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About this product

Product Identifiers

PublisherAbiprod

ISBN-100648783081

ISBN-139780648783084

eBay Product ID (ePID)2321121298

Product Key Features

Number of Pages222 Pages

LanguageEnglish

Publication NameTime Series with Python : How to Implement Time Series Analysis and Forecasting Using Python

SubjectProbability & Statistics / Regression Analysis, Probability & Statistics / Time Series, Programming Languages / Python

Publication Year2020

TypeTextbook

AuthorBob Mather

Subject AreaMathematics, Computers

FormatTrade Paperback

Dimensions

Item Height0.5 in

Item Weight9.5 Oz

Item Length8.3 in

Item Width5.8 in

Additional Product Features

Intended AudienceTrade

SynopsisAre you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks? This book is your answer. Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python. This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code., Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?