Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Mastering Health Data Science Using R - Paperback

$158.74 USD
$158.74 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
  • Daily deals
  • Return policy
  • Payment method
  • Help center 24/7

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Mastering Health Data Science Using R - Paperback
Mastering Health Data Science Using R - Paperback
Mastering Health Data Science Using R - Paperback
$158.74/ea
$0.00
$158.74/ea $0.00

Product Description

by Alice Paul (Author)

This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some coding experience. Each module starts with data as the driver of analysis before introducing and breaking down the programming concepts needed to tackle the analysis.

Author Biography

Alice Paul is an Assistant Professor of Biostatistics and Teaching Scholar, holding a Ph.D. in Operations Research from Cornell University. With six years of teaching experience at the undergraduate, master's, and Ph.D. levels, she instructed students in diverse fields, including biostatistics, engineering, computer science, and data science at both Brown University and Olin College of Engineering.

Number of Pages: 358
Dimensions: 0.77 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: July 22, 2025
you might like