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"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."
Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage
You've heard the hype around data—now get the facts.
In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning,
...Author
Pub. Date
[2023]
Language
English
Description
"This introductory book on data science builds upon an individual's innate knowledge and arms you with the tools to use this interdisciplinary academic field in everyday scenarios. With straightforward real-world examples and applications, it takes you on a path that may seem daunting but is made simple through Professor Raju's easy manner. It endows you with a holistic and flawless understanding of the fundamental principles required to build a solid...
Author
Language
English
Description
You know less than you think you do - about what makes you healthy, what makes you rich, who you should date, where you should live. You know less than you think you do about how to raise your children, or, for that matter, whether you should have children in the first place. Seth Stephens-Davidowitz showed how big data is revolutionising the social sciences. He shows how big data can help us find answers to some of the most important questions we...
Author
Language
English
Formats
Description
While millions of consumers carry on unaware, powerful companies are racing to gain more knowledge and data than anyone, including any government, has ever had. The goal is to understand consumer behavior and desires, from mundane matters to our most private and intimate affairs. This massive trove of data represents an immense prize for these companies. In economic terms, it is one of the most valuable assets on the planet. In All You Can Pay, Anna...
Author
Series
Pub. Date
[2024]
Language
English
Description
"Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge...
7) Data-ism: the revolution transforming decision making, consumer behavior, and almost everything else
Author
Language
English
Description
A technology reporter for the "New York Times" traces the rise of Big Data and explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years.
Author
Series
Accelerated Reader
IL: MG - BL: 5.8 - AR Pts: 1
Lexile measure
790L
Language
English
Formats
Description
Personal data is data about people. Researchers collect personal data to learn more about populations. Companies collect personal data online to help sell their products. Personal Data Collection explores the debate about the collection and use of personal data.
9) Zero contact
Pub. Date
[2022]
Language
English
Description
Follows five characters based all over the world, connected only by their devotion to the late founder and tech titan Finley Hart. The characters are then forced to work together to shut down Hart's most secret invention, a machine that is either the solution to mankind's problems or the end of life on Earth.
Pub. Date
2014.
Language
English
Description
IT professionals around the globe are now being challenged to manage, organize and analyze these vast data sets strategically; to identify new business trends, conduct highly-advanced product research and even predict threats to enterprise security. This report will introduce and explore the world of "Big Data" and offer advice and best practices that will help professionals understand and make the most of this incredible organizational resource....
Author
Language
English
Formats
Description
Businesses used to contact buyers by placing advertisements in newspapers, magazines, and on television and radio. Now they monitor your online shopping and product browsing habits. This book looks as the ways businesses spy on patrons, examines the reasons the marketplace has changed, argues the pros and cons of keeping tabs on cyber shoppers, and outlines the advantages corporate mining gives to larger companies.
Author
Series
Language
English
Formats
Description
Monetize your company's data and data science expertise without spending a fortune on hiring independent strategy consultants to help. What if there was one simple, clear process for ensuring that all your company's data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that's most prime for achieving profitability while also moving your company closer...
Author
Pub. Date
[2020]
Language
English
Description
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data--fake data generated from real data--so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue. Data scientists will learn how synthetic data...
Author
Language
English
Description
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data....
Author
Pub. Date
[2019]
Language
English
Description
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the...
Author
Pub. Date
[2022]
Language
English
Description
"This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These are tips honed by Bill Jelen, "MrExcel," and Oz do Soleil during their careers run as a financial analyst charged with taking mainframe data and turning it into useful information quickly. Topics include data quality, validation, perfectly sorting with one click every time, matching lists of data, data consolidation,...
Author
Pub. Date
2021
Language
English
Description
"Data analysts are in demand everywhere today! And now, Murachѫs Python for Data Analysis shows you how to do data analysis the way the pros do. Youѫll master descriptive analysis, using Pandas to analyze the data and Seaborn to create the visualizations that let you present your findings effectively. Youѫll get started with predictive analysis, using Scikit-learn with linear regression models. And youѫll be guided right from the start by 4 real-world...
Author
Language
English
Formats
Description
Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. The author...
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