Author : OECD
Publisher : OECD Publishing
Page : 160 pages
File Size : 24,47 MB
Release : 2023-09-08
Category :
ISBN : 9264569502
This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations.
Author :
Publisher :
Page : 0 pages
File Size : 36,95 MB
Release : 2023
Category :
ISBN : 9789264455870
This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations. The analysis in the report identifies emerging labour shortages in Alberta due to mega-trends such as digitalisation, AI adoption, automation, and population ageing and discusses key challenges such as youth unemployment and sector-specific labour shortages. The analysis in this report provides insights for policy makers, suggesting a need to support growing sectors, enhance digital skills development, address demand for health workers, and improve youth job access.
Author : Organisation for Economic Co-operation and Development
Publisher :
Page : 0 pages
File Size : 38,39 MB
Release : 2023-09-08
Category :
ISBN : 9789264474253
This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations. The analysis in the report identifies emerging labour shortages in Alberta due to mega-trends such as digitalisation, AI adoption, automation, and population ageing and discusses key challenges such as youth unemployment and sector-specific labour shortages. The analysis in this report provides insights for policy makers, suggesting a need to support growing sectors, enhance digital skills development, address demand for health workers, and improve youth job access
Author :
Publisher :
Page : 1740 pages
File Size : 29,98 MB
Release : 2000
Category : Canadian periodicals
ISBN :
Author : Sathish Sankaran
Publisher :
Page : 108 pages
File Size : 38,9 MB
Release : 2020-10-29
Category :
ISBN : 9781613998205
Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.
Author :
Publisher :
Page : 125 pages
File Size : 39,21 MB
Release : 2017
Category : Machine learning
ISBN : 9781782522591
Author : Karen L. Webber
Publisher : Johns Hopkins University Press
Page : 337 pages
File Size : 50,61 MB
Release : 2020-11-03
Category : Education
ISBN : 1421439034
Webber, Henry Y. Zheng, Ying Zhou
Author : Vincent Granville
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 43,4 MB
Release : 2014-03-24
Category : Computers
ISBN : 1118810090
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 : Dean Abbott
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 24,3 MB
Release : 2014-04-14
Category : Computers
ISBN : 1118727967
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Author : Phil Simon
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 21,80 MB
Release : 2013-03-05
Category : Business & Economics
ISBN : 1118641868
Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.
