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Author: Vincent Granville
Publisher: John Wiley & Sons
ISBN: 1118810090
Category : Computers
Languages : en
Pages : 336
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Book Description
Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.
Author: Vincent Granville
Publisher: John Wiley & Sons
ISBN: 1118810090
Category : Computers
Languages : en
Pages : 336
Get Book
Book Description
Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.
Author: Franziska Leutner
Publisher: Emerald Group Publishing
ISBN: 1838675612
Category : Business & Economics
Languages : en
Pages : 126
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Book Description
The Future of Recruitment explores how to use technology ethically to tackle past issues and future developments in recruitment, helping define new directions and values for a future of recruitment that serves society, employers, and job seekers alike.
Author: Jean Paul Isson
Publisher: John Wiley & Sons
ISBN: 111923316X
Category : Business & Economics
Languages : en
Pages : 406
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Book Description
Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.
Author: Cristina Hall
Publisher:
ISBN: 9781789663006
Category : BUSINESS & ECONOMICS
Languages : en
Pages : 0
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Book Description
Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
Author: Matt Ferguson
Publisher: McGraw Hill Professional
ISBN: 0071827137
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
"Companies that can unleash the passions and gifts of their people will have a competitive advantage in the landscape of the future--becoming curators instead of keepers of talent. This book gives readers some of the keys to cracking that code." --CARLEEN HAAS, VICE PRESIDENT AND CHIEF TALENT OFFICER, HUMANA IS YOUR HR DEPARTMENT PREPARED TO FLIP THE BIG DATA SWITCH? At every stage of the employee life cycle, a data-driven approach to HR can help companies make smarter decisions about their most important asset: their people. In the wake of the greatest shock to the labor market since the Great Depression, companies are faced with looming skill shortages, retention concerns, and questions regarding the most effective composition of their workforce. The Talent Equation shows you how to navigate today's hiring climate and drive your business forward. Matt Ferguson, CEO of CareerBuilder, offers hiring professionals and business leaders a roadmap to attract and retain top talent. Ferguson and coauthors Lorin Hitt (Wharton School) and Prasanna Tambe (NYU's Stern School) commissioned a landmark big data study of more than 2,700 employers and 33 million resumes to find the relationship between market performance, education attainment, and employee tenure. The findings are enlightening--and quite surprising. The Talent Equation explores: The ROI of increased education levels and retention rates The benefits of continuous recruitment and talent pipelines technology market, and how workforce analytics tools are changing talent acquisition The importance of reducing longterm unemployment through training and reskilling Smart and timely, The Talent Equation also incorporates case studies from leading brands--both global and domestic--that further illustrate staffing issues facing executives today. The insights and research in the book are invaluable tools for anyone who wants to build and retain a dynamic, competitive, and productive workforce.
Author: Jennifer Priestley
Publisher: Auerbach Publications
ISBN: 9780367754662
Category :
Languages : en
Pages : 108
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Book Description
The advent of "Big Data" and the emergence of Data Science - and all its iterations like analytics and business intelligence - has altered the way companies and universities work together. Historically, universities and companies rarely intersected beyond the occasional career fair; today, there is an increasingly permeable membrane with more collaboration occurring between the academic sector and the private sector than at any other time in history - and its being driven by the analytics talent gap. Closing the Analytics Talent Gap: An Executive's Guide to Working with Universities provides guidance and insights for senior managers and their organizations on the most (and least) effective ways to engage universities to help mitigate and alleviate some of the pain points related to improving an organization's analytics maturity. Analytics program directors from Georgia Tech, Oklahoma State University, Kennesaw State University, North-West University (South Africa) and the University of New Hampshire have contributed their perspectives on how their academic institutions work with companies for recruiting students, working on projects, and developing collaborative research. This book also presents insights from senior analytics leaders from Equifax, The Home Depot, The Southern Company, and Shaw Industries on how they engage universities to support their own organizational objectives. This book can help leaders of analytics organizations better understand what both the company and the university need to achieve for a partnership to be considered "successful". Companies are facing previously unforeseen challenges related to the translation of massive amounts of data into information to solve current challenges and anticipate new ones. The perspectives, case studies, tips, tools, and checklists in this book will become a "secret weapon" for business leaders who are responsible for improving their organization's analytics maturity. .
Author: John R Mattox II
Publisher: Kogan Page Publishers
ISBN: 0749476362
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Faced with organizations that are more dispersed, a workforce that is more diverse and the pressure to reduce costs, CEOs and CFOs are increasingly asking what the return on investment is from training and development programmes. Learning Analytics provides a framework for understanding how to work with learning analytics at an advanced level. It focuses on the questions that training evaluation is intended to answer: is training effective and how can it be improved? It discusses the field of learning analytics, outlining how and why analytics can be useful, and takes the reader through examples of approaches to answering these questions and looks at the valuable role that technology has to play. Even where technological solutions are employed, the HR or learning and development practitioner needs to understand what questions they should be asking of their data to ensure alignment between training and business needs. Learning Analytics enables both senior L&D and HR professionals as well as CEOs and CFOs to see the transformational power that effective analytics has for building a learning organization, and the impacts that this has on performance, talent management, and competitive advantage. It helps learning and development professionals to make the business case for their activities, demonstrating what is truly adding value and where budgets should be spent, and to deliver a credible service to their business by providing metrics based on which sound business decisions can be made.
Author: Thomas H. Davenport
Publisher: Harvard Business Press
ISBN: 1422177696
Category : Business & Economics
Languages : en
Pages : 231
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Book Description
As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.
Author: Gene Pease
Publisher: John Wiley & Sons
ISBN: 1118910982
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
Don't squander your most valuable resource! Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement. Learning and Development is an 80 billion-dollar industry, and every valuable employee represents a sizable investment on the part of your company. To keep your business moving forward, effective management of human capital is crucial. It generates plenty of data, and deep analysis of this data helps you provide feedback and make adjustments to capitalize on the combined knowledge, skills, and creativity of your workers. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments provides a guidebook for collecting, organizing, and analyzing the data surrounding human capital so you can make the most of your employees' potential. Use predictive analysis to optimize human capital investments Learn effective study design and alignment Get the tools you need for measurement, surveys, and analysis Decide what to measure and how to measure it Outline your company's current and future analytics technology needs Map data sources, and overcome barriers to data collection Authors Gene Pease, Bonnie Beresford, and Lew Walker provide case studies in which major companies applied human capital analytics to guide people decisions, and expand upon the role of analytics in Learning and Development. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments is an essential guide to 21st century human resources and management practices, and can keep you from squandering your company's most valuable resource.
Author: Foster Provost
Publisher: "O'Reilly Media, Inc."
ISBN: 144937428X
Category : Computers
Languages : en
Pages : 414
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Book Description
Written by renowned 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. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
