Showing titles in Data Science

Neste livro que já se tornou um clássico, David Spiegelhalter — um dos maiores estatísticos da atualidade — combina a visão incomparável de um especialista com o entusiasmo de um aficionado e oferece um verdadeiro guia para explorarmos a arte dessa ciência que é muito mais do que um...

This audiobook is for you. It has been narrated specially for all TikTok Everyday Users, Influencers and Content Creators around the world. We’ll show you how you can make the most of TikTok – safely and securely! You’ll find the knowledge and guidance you need to protect your TikTok account effectively.

Microsoft Power Platform for Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently.

What has data ever done for us? Georgina Sturge, House of Commons Library statistician and author of the critically acclaimed Bad Data, explores the rich history of the times the UK has counted itself - from the revolutionary first census of 1801 to modern worries over technological surveillance...

A revolution is under way across the globe, yet very few people understand it. Basic Blockchain explains everything you need to know to understand the technology that will soon disrupt and revolutionise everything from financial and health services to the property market and how we vote.

UPDATED WITH A NEW CHAPTER ON THE 2025-26 SEASON Being a Leeds United fan is never dull, and few clubs have experienced quite so many ups, downs, and moments of pure chaos. To try and make some sense of it all, renowned Opta statistician and lifelong fan Jonny Cooper has dug into the numbers and...

Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management, reporting, and analysis tools. SAS for Dummies teaches you the essentials, helping you navigate this statistical software and turn information into value.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.