Getting Started with Data Science: Making Sense of Data with Analytics. Murtaza Haider
Getting-Started-with-Data.pdf
ISBN: 9780133991024 | 400 pages | 10 Mb
- Getting Started with Data Science: Making Sense of Data with Analytics
- Murtaza Haider
- Page: 400
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780133991024
- Publisher: IBM Press
Download free it book Getting Started with Data Science: Making Sense of Data with Analytics English version 9780133991024 by Murtaza Haider
Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: for millions of managers and students who need to solve business problems with big data, it's indispensable. Unfortunately, there's been nothing sexy about learning data science -- until now. 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. Murtaza Haider offers careful, jargon-free coverage of basic theory and technique, backed with plenty of clear examples and practice opportunities. Everything's software and platform independent, so you can learn what you need whether you work with R, Stata, SPSS, SAS, or another toolset. Best of all, Haider teaches a crucial skillset most academic data science books ignore: how to transform data into narratives, graphics, and tables that make it vivid and actionable. Every chapter is built around a real research challenge, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions like: Are child safety seats safer for children than regular seat belts? Which married parents are likelier to have affairs: fathers or mothers? Is CEO compensation independent of a firm's profitability? Do attractive professors get better teaching evaluations? What induces teenagers to start smoking? What determines housing prices more: house size or location? How do teenagers and older people differ in how they use social media? Do risk-averse and risk-prone individuals differ in their purchases of big-ticket items? For each problem, you'll walk through identifying the right data and methods, creating summary statistics, describing and visualizing findings, and seeing how others have handled the challenge. In advanced chapters, you'll also learn sophisticated statistical modeling techniques. Throughout, the focus is on data: finding it, using it, and powerfully communicating its meaning.
Data, data everywhere | The Economist
WHEN the Sloan Digital Sky Survey started work in 2000, of digital information which is getting ever vaster ever more rapidly. “How to make sense of all these data? The effect is being felt everywhere, from business to science, from software firms specialising in data management and analytics.
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8 Skills You Need to Be a Data Scientist | Udacity - Be in Demand
Getting a job in data science is as much about finding a company whose needs of an A/B test or take the lead on your company's Google Analytics account. that a data scientist make meaningful data-like contributions to the Hopefully this gives you a sense of just how broad the title 'data scientist' is.
3 Data Careers Decoded and What It Means for You | Udacity - Be in
Data Analyst vs Data Scientist vs Data Engineer who know how to leverage data analysis to make effective decisions. from Data Science London gives a sense of how complex the data Sanjay Venkateswarulu, co-founder of big data analytics and Curious about getting started as a Data Analyst?
SAS Academy for Data Science Certification Programs | SAS
The SAS Academy for Data Science offers big data and data science Getting Started Books · SAS Certification Books in big data and data science from SAS , the world leader in advanced big data analytics. the right questions and make sense out of the answers they find in the data – in other words, data scientists.
Data Science programs and training currently available - Data
A few universities and other organizations have started to offer data Degree in Data Analytics (M.S.) prepares graduates to make sense of
ASI - About Us - The ASI
In Silicon Valley, the data science community is already mature. In London, we are still getting started. There is We specialise in data exploration, data science as a service, advanced analytics, To unlock the power of data in gaining competitive advantage, we help organisations to make sense of the data, big and small.
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