Best Books to Learn Time Series Analysis

In Data Science, Time Series Analysis is a method of analyzing data collected over an interval of time. Stock price data and covid-19 cases data are examples of time-series data. Time Series Analysis helps understand the underlying causes of trends and patterns at particular time intervals. So it is one of the topics that every data scientist should know perfectly. So if you are looking for some of the best books to learn Time Series Analysis, this article is for you. In this article, I will introduce you to some of the best books to learn Time Series Analysis.

Best Books to Learn Time Series Analysis

Practical Time Series Analysis

Practical Time Series Analysis is a practical guide to master the concepts of Time Series Analysis using Python. One of the advantages of following this book for time series analysis is that it contains real-world practical examples of Time Series Analysis.

Below are the most important topics that you will learn from this book:

  1. finding patterns in your data to predict the future patterns
  2. exploring and analyzing time-series data
  3. tackling noise in time series data
  4. using auto-regressive models to make predictions on time-series data
  5. using ARMA and ARIMA for time series forecasting

If you know the fundamentals of Python and want to learn the implementation of time series analysis using Python, this book is for you. You can find this book here.

Hands-On Time Series Analysis with R

In this book, you will explore the fundamentals of Time-Series Analysis by using the R programming language. Many data scientists prefer to use R over Python for statistical analysis, if you are one of those, this book is for you.

Below are the most important topics that you will learn about in this book:

  1. visualizing time series data to get better insights
  2. exploring auto-correlation and mastering other statistical techniques
  3. using time series analysis tools
  4. identifying seasonal patterns
  5. working with various time-series formats using the R programming language
  6. exploring time series models such as ARIMA, Holt-Winters, and more

If you know the fundamentals of the R programming language for data science and want to learn the implementation of time series analysis using R, this book is for you. You can find this book here.

Summary

So these were some of the best books to learn time series analysis. Time Series Analysis is a method of analyzing data collected over an interval of time. It helps understand the underlying causes of trends and patterns at particular time intervals. I hope you liked this article on the best books to learn time series analysis. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
Articles: 1207

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