Data Science Leaderships

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. 

Read by the author. Data is not about number crunching. It’s about ideas. And when used properly (read: ethically), it is the problem solver of our time. Yet many savvy people seem to be in data denial: they don’t think they need to understand data, or it’s too complicated, or worse, using...

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. 

The ultimate guide to digital marketing and advertising from one of the most influential digital marketers in the world, Alex Schultz, Chief Marketing Officer of Meta. “Alex is one of a small handful of people that I can say without his work, our community would not have connected more than 2...

A cocktail party? A terrorist cell? Ancient bacteria? An international conglomerate? All are networks, and all are a part of a surprising scientific revolution. Albert-László Barabási, the nation’s foremost expert in the new science of networks and author of Bursts, takes us on an...

A New York Times Bestseller An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we...

Brought to you by Penguin. The Sunday Times and #1 New York Times Bestseller Silicon Valley’s brightest minds once collaborated with governments to advance technologies, securing the West’s dominance on the global stage. But that relationship has corroded – with perilous repercussions for...

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Data has never been more important to your success than it is today, yet you are surrounded with data you can’t trust and the overwhelming burden of fixing it. Everyone deserves data that helps - not hurts - their organization. This book is a must-listen for anyone tasked with solving data problems...or anybody who needs their efforts to succeed. Inside, you will find a precise definition of data value and why you should always focus on maximizing it, how to build early momentum with the Simple Virtuous Cycle, and more.

How to keep your intuition and human instinct intact in our current technological era. Businesses are constantly moving into uncharted territory as they determine how to navigate an increasingly digital future effectively. But the startling and often overlooked truth is that the promise of...

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Marcin Zukowski, Thierry Cruanes, and Benoit Dageville had a mission. As Snowflake’s founders, they wanted to make all types of data available to anybody with permission to use it via a simple and inexpensive mechanism. Their collective efforts drove the breakthrough creation of the Data Cloud. Snowflake’s Data Cloud platform ingests available data and transforms it into information. Without the ability to effectively process, data is just a collection of raw facts.

From one of the world’s leading data scientists, a landmark tour ofthe new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence If the Big Data revolution has a presiding genius, it is MIT’s Alex “Sandy” Pentland. Over...

Every company today relies on data, yet many leadership teams struggle to fully leverage data as an asset while avoiding ethics scandals that erode consumer trust. This indispensable guide provides executives and board members an actionable playbook to transform their organization into an ethical data leader poised for innovation and growth.

In this book, you’ll find methods and techniques to organize your data, extract the information, and analyze it. There’s a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business.

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

A "skillful and lucid" (The Wall Street Journal) way of thinking about efficiency, challenging our obsession with it—and offering a new understanding of how to benefit from the powerful potential of serendipity. Algorithms, multitasking, the sharing economy, life hacks: our culture can't get...

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.