Forecasting is required in many situations.

... forecasting is very easily done in R thanks to auto.arima in forecast package. In Python it is not automated so ... rpubs.com/newajay/ts data("AirPassengers") library(forecast) ## Loading required package: zoo ## ## Attaching ...

The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases.

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently.

After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.

The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization "...extremely well organized, clearly ...

This is a textbook for an undergraduate course in probability and statistics.

Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.

Excel is that tool. Every example in this book features step-by-step instructions, a downloadable Excel file containing data and solutions, and plenty of screenshots. To sharpen your marketing analytics, you just need this guide and Excel.