Getting started with data science murtaza haider pdf download

Book Description

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 bestsellers

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: Making Sense of Data withAnalytics: Making Sense of Data with Analytics (IBM Press)BOOK DETAILAmazon Business : Save 25% on your first $ of business supplies. Register a free business accountSeries: IBM Press Paperback: pages Publisher: IBM Press; 1 edition (December 13, ) Language:English ISBN ISBN Product Dimensions: x x inchesStep By Step To Download Or Read Online1. Click Button "DOWNLOAD" Or "READ ONLINE"2. Sign Up To Acces "Getting Started with Data Science: Making Sense of Data with Analytics: Making Sense of Datawith Analytics (IBM Press)"3. Choose the book you like when you register4. You can also cancel your membership if you are bored5. Enjoy and Happy Reading

Book DescriptionMaster 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’snot just sexy: For millions of managers, analysts, and students who need to solve real businessproblems, it’s indispensable. Unfortunately, there’s been nothing easy about learning datascience–until now. Getting Started with Data Science takes its inspiration from worldwide bestsellerslike Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerfulnarrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-freecoverage of basic theory and technique, backed with plenty of vivid examples and hands-onpractice opportunities. Everything’s software and platform agnostic, so you can learn data sciencewhether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset mostdata science books ignore: how to tell powerful stories using graphics and tables. Every chapter isbuilt around real research challenges, so you’ll always know why you’re doing what you’re www.cronistalascolonias.com.ar’ll master data science by answering fascinating questions, such as: • Are religious individualsmore or less likely to have extramarital affairs? • Do attractive professors get better teachingevaluations? • Does the higher price of cigarettes deter smoking? • What determines housingprices more: lot size or the number of bedrooms? • How do teenagers and older people differ inthe way they use social media? • Who is more likely to use online dating services? • Why do somepurchase iPhones and others Blackberry devices? • Does the presence of children influence afamily’s spending on alcohol? For each problem, you’ll walk through defining your question andthe answers you’ll need; exploring how others have approached similar challenges; selecting yourdata and methods; generating your statistics; organizing your report; and telling your www.cronistalascolonias.com.arhout, the focus is squarely on what matters most: transforming data into insights that areclear, accurate, and can be acted upon.