Résultats pour "statistics" dans Informatique et technologie

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data. 

Public health runs on data—but data only becomes useful when you know how to analyze it, visualize it, and turn it into clear research insights. R Programming for Public Health Data Analysis is a practical beginner-friendly guide for students, analysts, researchers, and public health professionals who want to use RStudio to work with real-world health data more confidently. Inside this audiobook, you’ll learn how R can help you organize datasets, run basic statistics, examine epidemiology data, track disease trends, create useful visualizations, and prepare cleaner research reports.

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond "gut feeling" for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.

Dr. Alex Harper takes you deeper into the world of data by providing an actionable guide to creating a complete data analytics pipeline. Whether you’re a data professional, student, or enthusiast, this audiobook brings complex concepts to life with clear explanations and real-world applications. With an emphasis on practicality and accessibility, this audiobook transforms complex analytics concepts into digestible steps, designed to help you build a complete data pipeline and elevate your data skills.

Bloomsbury presents Big Data: Does Size Matter?, written and read by Timandra Harkness What is Big Data, and why should you care? Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim...

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

Focusing on the basics, this book will provide clear and beneficial information about Microsoft Excel, including time-saving tips such as how to enter data more efficiently, how to manipulate cells or worksheets, how to switch between absolute and relative cell references with just a few simple keystrokes, and more.