menu
{ "item_title" : "Data Literacy", "item_author" : [" Neil Smalheiser "], "item_description" : "Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented. This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/12/811/306/0128113065_b.jpg", "price_data" : { "retail_price" : "89.95", "online_price" : "89.95", "our_price" : "89.95", "club_price" : "89.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Literacy|Neil Smalheiser

Data Literacy : How to Make Your Experiments Robust and Reproducible

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented.

This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient.

This item is Non-Returnable

Details

  • ISBN-13: 9780128113066
  • ISBN-10: 0128113065
  • Publisher: Academic Press
  • Publish Date: September 2017
  • Dimensions: 9.4 x 7.9 x 0.6 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 282

Related Categories

You May Also Like...

    1

BAM Customer Reviews