Time Series for Data Scientists: Data Management, Description, Modeling and Forecasting
Zoomicon-zoom-in
Time Series for Data Scientists: Data Management, Description, Modeling and Forecasting

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

By
Juana Sanchez (Author)  

Hardback

In Stock

Quantity
Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines Worked examples or Exercises
Juana Sanchez is Senior Lecturer in Statistics at the University of California, Los Angeles. She is Editor of the Datasets and Stories section of the ASA's Journal of Statistics and Data Science Education and is the author of Probability for Data Scientists (2020).
  • Contributor: Juana Sanchez
  • Imprint: Cambridge University Press
  • ISBN13: 9781108837774
  • Number of Pages: 550
  • Packaged Dimensions: 175x250x26mm
  • Packaged Weight: 1000
  • Format: Hardback
  • Publisher: Cambridge University Press
  • Release Date: 2023-05-11
  • Binding: Hardback
  • Biography: Juana Sanchez is Senior Lecturer in Statistics at the University of California, Los Angeles. She is Editor of the Datasets and Stories section of the ASA's Journal of Statistics and Data Science Education and is the author of Probability for Data Scientists (2020).

Delivery Options

Home Delivery

Store Delivery

Free Returns

We hope you are delighted with everything you buy from us. However, if you are not, we will refund or replace your order up to 30 days after purchase. Terms and exclusions apply; find out more from our Returns and Refunds Policy.