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GETTING STARTED WITH DATA SCIENCE: MAKING SENSE OF DATA By Murtaza Haider *NEW*
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N.º de artículo de eBay:335923876098
Última actualización el 14 jun 2025 00:00:20 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- ISBN-10
- 0133991024
- Book Title
- Getting Started with Data Science: Making Sense of Data with
- ISBN
- 9780133991024
Acerca de este producto
Product Identifiers
Publisher
Pearson Education
ISBN-10
0133991024
ISBN-13
9780133991024
eBay Product ID (ePID)
202635023
Product Key Features
Number of Pages
608 Pages
Publication Name
Getting Started with Data Science : Making Sense of Data with Analytics
Language
English
Publication Year
2015
Subject
Databases / Data Mining, Statistics
Type
Textbook
Subject Area
Computers, Business & Economics
Series
Ibm Press Ser.
Format
Trade Paperback
Dimensions
Item Height
1.6 in
Item Weight
34 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2015-947691
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
Chapter 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
Synopsis
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., 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 Number
QA76.9.D343
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