Rami Krispin - Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R

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Rami Krispin is a data scientist at a major Silicon Valley company, where he focuses on time series analysis and forecasting. In his free time, he also develops open source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in applied economics and an MS in actuarial mathematics from the University of MichiganAnn Arbor.

Fernando C. Barbi ( @fcbarbi ) is a product manager at Analyx Labs in Switzerland, developing data analysis and risk management tools for the financial industry. He runs the Private Equity Lab, where he researches and teaches investment modeling. He has authored some R packages and, as a Python and R enthusiast, is often an instructor at tech conferences and online courses. He holds a PhD in economics from the So Paulo School of Economics (EESP) FGV.

Fiqry Revadiansyah is a data scientist at Bukalapak, where he provides insights and analytical strategies to enhance product quality by utilizing machine learning and any statistical experiment. He graduated from Universitas Padjadjaran, Bandung, with a BS in statistics. He is a statistician working in data science as a statistics researcher and as an academic consultant. His primary interests are research related to time series analysis and regression modeling, artificial intelligence, immersive computing, and gamification. He uses several programming languages, including R, Python, and C#.

Dr. Naftali Cohen is a research scientist at AI Research, JP Morgan. He has over 10 years of R&D work experience in numerical modeling, predictive analytics, machine learning, and AI in both academic and industrial settings.

Before joining JP Morgan, Dr. Cohen worked as an academic researcher at Yale University and Columbia University.

He holds a Ph.D. in applied mathematics from the Courant Institute of Mathematical SciencesNew York University. His academic research focused on climate science and storm formation. Dr. Cohen is a MacCracken fellow and an elected member of the International Space Science Institute.

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Time series analysis is the art of extracting meaningful insights and revealing patterns from time series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.

This book goes through all the steps of the time series analysis process, from getting the raw data, to building a forecasting model using R. You will learn how to use tools from packages such as stats, lubridate, xts, and zoo to clean and reformat your raw data into structural time series data. As you make your way through