Data science for dummies / Lillian Pierson.

By: Pierson, Lillian [author.]Material type: TextTextPublication details: Hoboken, NJ : John Wiley & Sons, Inc., c2021Edition: Third EditionDescription: 416 pages : illustrations ; 23 cmISBN: 9781119811558Subject(s): | MANAGEMENT | MANAGEMENTLOC classification: QA 76.9 P54 2021
Contents:
Introduction. -- Part 1 : Getting started with data science. -- Part 2 : Using data science to extract meaning from your data. -- Part 3 : Taking stock of your data science capabilities. -- Part 4 : Assessing your data science options. -- Part 5 : The part of tens. -- Introduction. -- Part 1 : Getting started with data science. -- Chapter 1 : Wrapping your head around data science. -- Chapter 2 : Tapping into critical aspects of data engineering. -- Part 2 : Using data science to extract meaning from your data. -- Chapter 3 : Machine learning means... using a machine to learn from data. -- Chapter 4 : Math, probability, and statistical modeling. -- Chapter 5 : Grouping your way into accurate predictions. -- Chapter 6 : Coding up data insights and decision engines. -- Chapter 7 : Generating insights with software applications. -- Chapter 8 : Telling powerful stories with data. -- Part 3 : Taking stock of your data science capabilities. -- Chapter 9 : Developing your business acumen. -- Chapter 10 : Improving operations. -- Chapter 11 : Making marketing improvements Chapter 12 : Enabling improved decision-making Chapter 13 : Decreasing lending risk and fighting financial crimes. -- Chapter 14 : Monetizing data and data science expertise. -- Part 4 : Assessing your data science options. -- Chapter 15 : Gathering important information about your company. -- Chapter 16 : Narrowing in on the optimal data science use case. -- Chapter 17 : Planning for future data science project success. -- Chapter 18 : Blazing a path to data science career success. -- Part 5 : The part of tens. -- Chapter 19 : Ten phenomenal resources for open data. -- Chapter 20 : Ten free or low-cost data science tools and applications. -- Index.
Summary: "Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can't). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go)"--Publisher marketing.
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Item type Current library Home library Collection Shelving location Call number Status Date due Barcode
Books Books NU Fairview College LRC
NU Fairview College LRC
School of Engineering and Technology General Circulation GC QA 76.9 P54 2021 (Browse shelf(Opens below)) Available NUFAI000005496

Includes index.

Introduction. -- Part 1 : Getting started with data science. -- Part 2 : Using data science to extract meaning from your data. -- Part 3 : Taking stock of your data science capabilities. -- Part 4 : Assessing your data science options. -- Part 5 : The part of tens. -- Introduction. -- Part 1 : Getting started with data science. -- Chapter 1 : Wrapping your head around data science. -- Chapter 2 : Tapping into critical aspects of data engineering. -- Part 2 : Using data science to extract meaning from your data. -- Chapter 3 : Machine learning means... using a machine to learn from data. -- Chapter 4 : Math, probability, and statistical modeling. -- Chapter 5 : Grouping your way into accurate predictions. -- Chapter 6 : Coding up data insights and decision engines. -- Chapter 7 : Generating insights with software applications. -- Chapter 8 : Telling powerful stories with data. -- Part 3 : Taking stock of your data science capabilities. -- Chapter 9 : Developing your business acumen. -- Chapter 10 : Improving operations. -- Chapter 11 : Making marketing improvements Chapter 12 : Enabling improved decision-making Chapter 13 : Decreasing lending risk and fighting financial crimes. -- Chapter 14 : Monetizing data and data science expertise. -- Part 4 : Assessing your data science options. -- Chapter 15 : Gathering important information about your company. -- Chapter 16 : Narrowing in on the optimal data science use case. -- Chapter 17 : Planning for future data science project success. -- Chapter 18 : Blazing a path to data science career success. -- Part 5 : The part of tens. -- Chapter 19 : Ten phenomenal resources for open data. -- Chapter 20 : Ten free or low-cost data science tools and applications. -- Index.

"Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can't). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go)"--Publisher marketing.

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