{"appState":{"pageLoadApiCallsStatus":true},"bookState":{"book":{"headers":{"timestamp":"2024-12-16T08:11:17+00:00"},"bookId":281678,"data":{"name":"Data Science Programming All-in-One For Dummies","title":"Data Science Programming All-in-One For Dummies","slug":"data-science-programming-all-in-one-for-dummies-2","breadcrumbs":[{"name":"Technology","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33512"},"slug":"technology","categoryId":33512},{"name":"Information Technology","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33572"},"slug":"information-technology","categoryId":33572},{"name":"Data Science","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33577"},"slug":"data-science","categoryId":33577},{"name":"General Data Science","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33580"},"slug":"general-data-science","categoryId":33580}],"description":"<p><b>Your logical, linear guide to the fundamentals of data science programming</b></p> <p>Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. 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Data Science Programming All-in-One For Dummies book cover

Data Science Programming All-in-One For Dummies

Authors:

John Paul Mueller ,

Overview

Your logical, linear guide to the fundamentals of data science programming

Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.

Get grounded: the ideal start for new data professionals
What lies ahead: learn about specific areas that data is transforming
Be meaningful: find out how to tell your data story
See clearly: pick up the art of visualization

Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Your logical, linear guide to the fundamentals of data science programming

Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Data Science Programming All-In-One For Dummies is a compilation of the key data science,

machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.

Get grounded: the ideal start for new data professionals
What lies ahead: learn about specific areas that data is transforming
Be meaningful: find out how to tell your data story
See clearly: pick up the art of visualization

Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Data Science Programming All-in-One For Dummies Cheat Sheet

Data science affects many different technologies in a profound manner. Our society runs on data today, so you can’t do many things that aren’t affected by it in some way. Even the timing of stoplights depends on data collected by the highway department. Your food shopping experience depends on data collected from Point of Sale (POS) terminals, surveys, farming data, and sources you can’t even begin to imagine. No matter how you use data, this cheat sheet will help you use it more effectively. [caption id="attachment_266848" align="alignnone" width="556"] ©carlos castilla/Shutterstock.com[/caption]

About The Authors

John Mueller has produced 114 books and more than 600 articles on topics ranging from functional programming techniques to working with Amazon Web Services (AWS). Luca Massaron, a Google Developer Expert (GDE),??interprets big data and transforms it into smart data through simple and effective data mining and machine learning techniques.