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Hands-On Time Series Analysis with R

You're reading from   Hands-On Time Series Analysis with R Perform time series analysis and forecasting using R

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781788629157
Length 448 pages
Edition 1st Edition
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Author (1):
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Rami Krispin Rami Krispin
Author Profile Icon Rami Krispin
Rami Krispin
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Time Series Analysis and R 2. Working with Date and Time Objects FREE CHAPTER 3. The Time Series Object 4. Working with zoo and xts Objects 5. Decomposition of Time Series Data 6. Seasonality Analysis 7. Correlation Analysis 8. Forecasting Strategies 9. Forecasting with Linear Regression 10. Forecasting with Exponential Smoothing Models 11. Forecasting with ARIMA Models 12. Forecasting with Machine Learning Models 13. Other Books You May Enjoy

Who this book is for

This book is ideal for the following groups of people:

  • Data scientists who wish to learn how to perform time series analysis and forecasting with R.
  • Data analysts who perform Excel-based time series analysis and forecasting and wish to take their forecasting skills to the next level.

Basic knowledge of statistics (for example, regression analysis and hypothesis testing) is required, and some knowledge of R is expected but is not mandatory (for those who never use R, Chapter 1, Introduction to Time Series Analysis and R, provides a brief introduction).

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