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Ibm Press Ser.: Getting Started with Data Science : Making Sense of Data with Analytics by Murtaza Haider (2015, Trade Paperback)

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GETTING STARTED WITH DATA SCIENCE: MAKING SENSE OF DATA WITH ANALYTICS (IBM PRESS) By Murtaza Haider **BRAND NEW**.

About this product

Product Identifiers

PublisherPearson Education

ISBN-100133991024

ISBN-139780133991024

eBay Product ID (ePID)202635023

Product Key Features

Number of Pages608 Pages

Publication NameGetting Started with Data Science : Making Sense of Data with Analytics

LanguageEnglish

Publication Year2015

SubjectDatabases / Data Mining, Statistics

TypeTextbook

Subject AreaComputers, Business & Economics

AuthorMurtaza Haider

SeriesIbm Press Ser.

FormatTrade Paperback

Dimensions

Item Height1.6 in

Item Weight34 Oz

Item Length9.2 in

Item Width7 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2015-947691

Dewey Edition23

IllustratedYes

Dewey Decimal006.312

Table Of ContentChapter 1 The Bazaar of Storytellers Chapter 2 Data in the 24/7 Connected World Chapter 3 The Deliverable Chapter 4 Serving Tables Chapter 5 Graphic Details Chapter 6 Hypothetically Speaking Chapter 7 Why Tall Parents Don't Have Even Taller Children Chapter 8 To Be or Not to Be Chapter 9 Categorically Speaking About Categorical Data Chapter 10 Spatial Data Analytics Chapter 11 Doing Serious Time with Time Series Chapter 12 Data Mining for Gold Index

SynopsisMaster Data Analytics Hands-On by Solving Fascinating Problems You'll Actually Enjoy! Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it's indispensable. Unfortunately, there's been nothing easy about learning data science-until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell's Outliers : It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything's software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions, such as: - Are religious individuals more or less likely to have extramarital affairs? - Do attractive professors get better teaching evaluations? - Does the higher price of cigarettes deter smoking? - What determines housing prices more: lot size or the number of bedrooms? - How do teenagers and older people differ in the way they use social media? - Who is more likely to use online dating services? - Why do some purchase iPhones and others Blackberry devices? - Does the presence of children influence a family's spending on alcohol? For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon., Getting Started with Data Science takes its approach from worldwide best-sellers like Freakonomics and the books of Malcolm Gladwell: it teaches through a powerful narrative packed with unforgettable stories. The book covers basic theory and technique, backed with plenty of clear, jargon-free examples and practice opportunities. Everything's software and platform independent, so students can learn what they need whether they work with R, Stata, SPSS, SAS, or another toolset., Master Data Analytics Hands-On by Solving Fascinating Problems You'll Actually Enjoy! Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it's indispensable. Unfortunately, there's been nothing easy about learning data science-until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell's Outliers : It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything's software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions, such as: * Are religious individuals more or less likely to have extramarital affairs? * Do attractive professors get better teaching evaluations? * Does the higher price of cigarettes deter smoking? * What determines housing prices more: lot size or the number of bedrooms? * How do teenagers and older people differ in the way they use social media? * Who is more likely to use online dating services? * Why do some purchase iPhones and others Blackberry devices? * Does the presence of children influence a family's spending on alcohol? For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon., Master Data Analytics Hands-On by Solving Fascinating Problems You'll Actually Enjoy! Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it's indispensable. Unfortunately, there's been nothing easy about learning data science-until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell's Outliers : It teaches through a powerful narrative packed with unforgettable stories.Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything's software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing.You'll master data science by answering fascinating questions, such as:* Are religious individuals more or less likely to have extramarital affairs?* Do attractive professors get better teaching evaluations?* Does the higher price of cigarettes deter smoking?* What determines housing prices more: lot size or the number of bedrooms?* How do teenagers and older people differ in the way they use social media?* Who is more likely to use online dating services?* Why do some purchase iPhones and others Blackberry devices?* Does the presence of children influence a family's spending on alcohol?For each problem, you'll walk through defining your question and the answers you'll need; exploring howothers have approached similar challenges; selecting your data and methods; generating your statistics;organizing your report; and telling your story. Throughout, the focus is squarely on what matters most:transforming data into insights that are clear, accurate, and can be acted upon., Master Data Analytics Hands-On by Solving Fascinating Problems You'll Actually Enjoy Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it's indispensable. Unfortunately, there's been nothing easy about learning data science-until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell's Outliers It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything's software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions, such as: - Are religious individuals more or less likely to have extramarital affairs? - Do attractive professors get better teaching evaluations? - Does the higher price of cigarettes deter smoking? - What determines housing prices more: lot size or the number of bedrooms? - How do teenagers and older people differ in the way they use social media? - Who is more likely to use online dating services? - Why do some purchase iPhones and others Blackberry devices? - Does the presence of children influence a family's spending on alcohol? For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.

LC Classification NumberQA76.9.D343