Digital Health and Medical Analytics: Second International Conference, DHA 2020, Beijing, China, July 25, 2020, Revised Selected Papers by Yichuan Wang
English | EPUB | 2021 | 144 Pages | ISBN : 9811636303 | 6.1 MB
This book constitutes selected and revised papers from the Second International Conference on Digital Health and Medical Analytics, DHA 2020, held in Beijing, China, in July 25, 2020.

Data Management, Analytics and Innovation
English | 2021 | ISBN: 9811629331 | 543 Pages | PDF | 14 MB
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (2h 30m) | Size: 1.41 GB
Show the key insights from your AppSheet or Google Sheets data into a Google Data Studio dashboard

Data Analytics with Microsoft Excel and MS Power BI: This book will transform you into Data Analytics Expert .You will learn how to use MS Excel and Power Bi to read, clean, transform, visualize data
By Punit Prabhu
English | 2021 | ASIN : B09BJFKDWC | 221 pages | PDF, EPUB | 14.4 MB

English | 2021 | ISBN: 1119747759 | 467 pages | True PDF | 7.89 MB
Using Predictive Analytics to Improve Healthcare OutcomesDiscover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.
Using Predictive Analytics to Improve Healthcare Outcomesdelivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a "how-to" manual, showing how to use existing theory and tools to achieve desired positive outcomes.

English | 2021 | ISBN: 036764276X | 274 pages | True PDF | 12.6 MB
Cyberspace is changing the face of crime. For criminals it has become a place for rich collaboration and learning, not just within one country; and a place where new kinds of crimes can be carried out, and a vehicle for committing conventional crimes with unprecedented range, scale, and speed. Law enforcement faces a challenge in keeping up and dealing with this new environment. The news is not all bad - collecting and analyzing data about criminals and their activities can provide new levels of insight into what they are doing and how they are doing it. However, using data analytics requires a change of process and new skills that (so far) many law enforcement organizations have had difficulty leveraging.Cyberspace, Data Analytics, and Policingsurveys the changes that cyberspace has brought to criminality and to policing with enough technical content to expose the issues and suggest ways in which law enforcement organizations can adapt.
Key Features:

It's All Analytics - Part II - Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization
pdf | 10.19 MB | English | Isbn:‎ B09BG5LGZT | Author: Scott Burk | Year: 2021

English | 2021 | ISBN: 1119666287 | 353 pages | True PDF | 12.95 MB
Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model
InIndustrial Data Analytics for Diagnosis and Prognosis -A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen delivera rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis.In the book's two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasetsand cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methodsbefore moving on to the application of the random effects approach to failure prognosis in industrial processes and systems.

English | 2021 | ISBN: 1119758335 | 364 pages | True (PDF EPUB) | 72.26 MB
A practical guide for anyone who aspires to become data analytics-savvy
Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation.Data Analytics for Organisational Development: Unleashing the Potential of Your Dataintroduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics.

English | 2021 | ISBN: 0367359715 | 299 pages | True PDF | 10.19 MB
Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered themost important aspectof making these analytics efforts successful. In this Book II of "It's All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful.
This Book II in the series is divided into three main parts: