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{ "item_title" : "Data Literacy for the Workplace", "item_author" : [" Michael D. Lairson "], "item_description" : "Data has become the business world's most valuable asset, and companies are striving to become more data-driven to benefit from this asset. Unfortunately, a vast majority of people who are tasked with making data-driven decisions have never been taught how to read, understand, or communicate with data. Data literacy is a gap that businesses must overcome if they are to truly transform into data-driven companies. Data Literacy for the Workplace was written to aid in bridging this gap by making data literacy accessible to anyone working directly or indirectly with data. Statistics and math and coding and algorithm design are not necessary to become data literate. Data scientists can no longer be the only ones who understand the language of data in a successful data-driven company.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/840/552/9798405521534_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Literacy for the Workplace|Michael D. Lairson

Data Literacy for the Workplace

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Overview

Data has become the business world's most valuable asset, and companies are striving to become more data-driven to benefit from this asset. Unfortunately, a vast majority of people who are tasked with making data-driven decisions have never been taught how to read, understand, or communicate with data. Data literacy is a gap that businesses must overcome if they are to truly transform into data-driven companies. Data Literacy for the Workplace was written to aid in bridging this gap by making data literacy accessible to anyone working directly or indirectly with data. Statistics and math and coding and algorithm design are not necessary to become data literate. Data scientists can no longer be the only ones who understand the language of data in a successful data-driven company.

This item is Non-Returnable

Details

  • ISBN-13: 9798405521534
  • ISBN-10: 9798405521534
  • Publisher: Independently Published
  • Publish Date: January 2022
  • Dimensions: 10 x 8 x 0.29 inches
  • Shipping Weight: 0.62 pounds
  • Page Count: 134

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