Business Analytics: Careers

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that data science practitioners should avoid. It also covers the big data cloud platform and the art of data science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python. This book is for readers who want to explore possible career paths and eventually become data scientists.

What are the keys to a data scientist's long-term success? Blending your technical know-how with the right "soft skills" turns out to be a central ingredient of a rewarding career. This book is your guide to landing your first data science job and developing into a valued senior employee. Covers resume building and interviewing preparation, as well as insights on how to build a career in a rapidly changing field.

This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what skills they will need for the role, and what regulations they will be required to adhere to. Practising data analysts can explore useful data analysis tools, methods and techniques, brush up on best practices and look at how they can advance their career.

Unlocking the value of data requires far more than technical excellence, and this book facilitates readers’ understanding of the problems like dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven.

This book contains a dozen interviews with current and former CDOs at organizations such as Samsung, Zynga, Citizen’s Bank, Allstate, Seattle Children’s Hospital, and New York State, and concentrates on guidelines and best practices for organizations looking to add their own CDO, which can provide insights for thinking about how to present yourself if looking for a CDO type of job.

Provides an introduction of the data industry to the field of economics so you can sound like a pro on job interviews. Originally written for data scientists interested in the economic aspects of this industry and economists who needed to understand data, this book describes the economics of big data, and enable economists to analyze the data industry. This book defines a data industry chain, enumerates data enterprises' business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects.

This book covers the range of possible career paths for someone doing business intelligence, and how to thing strategically about career development in this field.

The demand for data scientists has only grown in recent years. But how can you become a data scientist? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? This book is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions with some of the world's leading data science leaders and CDOs.

Discover relevant questions and answers to help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. It covers questions about data preparation, statistics, analytics implementation, as well as other crucial topics favored by interviewers.