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This resource offers company profiles, rankings, and industry and profession profiles. Find career advice using the career guides, resume templates, and sample cover letters. Search for jobs, internships and graduate programs. Don't miss the career guides to:
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.
Gartner Content on Business Analytics & Big Data Applications
This well-known collection of market analyst reports, international news and real-world analysis focuses on a broad coverage of computing and technology sectors. Students will like the market research and IT staff will like its tools and benchmarking contents. Gartner analysts cover a broad range of business functions that impact the technology sector. NOTE: use your Business Systems credentials to login. Gartner also recruits and hires; see the careers section of their webpage.
Gartner has a lot of specialized content in its Research Library of interest to people in business analytics fields:
includes sub-topics like advanced analytics, business activity monitoring, business pattern frameworks, content analysis, pattern seeking, predictive analytics, sentiment analysis, social analytics, speech analytics, supply chain analytics, text analysis, web analytics and more.