Time Series for Data Scientists Data Management, Description, Modeling and Forecasting

Key features

• Teaches by example and includes numerous exercises, quizzes and case studies designed to stretch the learner by introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis
• Quickly immerses the reader into data and moves from easier to more complex applications
• Teaches the reader to apply methods in R and interpret the results. Commented R programs are provided for every example
• Connects concepts of time series necessary to do correct classical analysis to how they should be used in contemporary machine learning time series
• Extra case studies, videos and solutions to the exercises are available on the companion web site, as well as lecture slides for instructors