Data videos

This is a small selection from Data Science Central’s webinar series, featuring cases studies, IoT and machine data, Hadoop and distributed architectures, visualization and story telling, predictive analytics, and more.

Selected Videos

  • 5 Key Self-Service Analytics and How to Get the Data
  • Shaping Data Stories with Neuroscience
  • A Data Scientist’s Guide to Modeling Engine Degradation
  • Extracting Analytic Intelligence From Hybrid, Cloud-Based Data Systems
  • Analyzing Census Time-Series Data with Feature Extraction and Clustering
  • Applying Graphic Design Principles to Create Killer Dashboards
  • The Past Present and Future of Data Science: A Live Roundtable
  • Data Analytics with Amazon Redshift: A Success Story
  • From Visual Analysis to Presentation
  • Deriving Analytic Insights from Machine Data and IoT Sensors
There is a total of about 150 videos on Data Science Central. Click here to access them, at no cost.

Databrarianship book

ACRL announces the publication of Databrarianship: The Academic Data Librarian in Theory and Practice. Edited by Lynda Kellam and Kristi Thompson, the work provides advice and insight on data services for all types of academic libraries and library educators.

Data service has become a critically important topic for academic libraries with the appearance of big data, open data, and particularly research data curation. Drawing on the expertise of a diverse community of practitioners, this nearly 400-page collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship.

By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge.

Lynda Kellam is the Data Services Librarian at the University of North Carolina at Greensboro’s University Libraries. Kristi Thompson is the Data Librarian at the University of Windsor and currently heads the systems department. Before coming to the University of Windsor in 2006, she was a Data Services Specialist at Princeton University, and she has also worked as a freelance digital librarian and web developer.

Databrarianship: The Academic Data Librarian in Theory and Practice is available for purchase through the ALA Online Store; Amazon.com; and by telephone order at (866) 746-7252 in the U.S. or (770) 442-8633 for international customers.

Increasing student retention through predictive analytics

Middle Tennessee State University credits its use of predictive analytics with its first-year freshman-retention rate of 73.2%. The university is one of 200 members taking part in EAB’s Student Success Collaborative, which gives schools access to a proprietary model that provides data to counselors to improve support for at-risk students.

For details, go to  https://www.eab.com/technology/student-success-collaborative/members/case-studies/strategic-interventions-generate-rapid-persistence-gains

 

Free mapping online

To promote the spatial study of US and China, the University of Michigan Spatial Data Center and China Data Center are pleased to jointly announce new release of the “Free Mapping Online”. This web based spatial system offers tens of thousands of free maps from US and China census data and business data. It also allows users to upload their data (in Excel file) to the system and make US or China maps online without any GIS tools and experience. This service is free for public. See details at http://spatialdataonline.org.

Here are a list of maps currently available in the “Free Mapping Online”:

§  US Census Data: 1970, 1980, 1990, 2000, and 2010 (State, Metropolitan, County)
§  US County Business Patterns: 1986-2012 (State, Metropolitan, County)
§  US Business Data 1997-2013 ((State, Metropolitan, County)
§  China Census Data: 2000 and 2010 (Province, City, County)
§  China Economic Census Data: 2004, 2008 (Province, City, County)
§  China Basic Unit Census Data: 2001 (Province, City, County)
§  China Industrial Census Data: 1995 (Province, City, County)
§  China Land Use Data: 1990, 1995, 2000, 2005, 2010 (Province, City, County)
§  China Nighttime Light Data: 1992-2011 (Province, City, County)

This service is compatible with IE6/7, FireFox 3 or Chrome. Flash player 9 or higher version is required. Please contact spatialdata@umich.edu if there is any questions.

Data science infographics

Most of these infographics are tutorials covering various topics in big data, machine learning, visualization, data science, Hadoop, R or Python, typically intended for beginners. Some are cheat sheets and can be nice summaries for professionals with years of experience. Some, popular a while back (you will find one example here) were designed as periodic tables.

For Geeks

Effective storytelling with data

A good story changes our brain chemistry, increasing empathy, connectedness and attention. How can you tell great stories with data to educate, inspire and make a real impact?

Watch this video to learn more from:

Cheryl Phillips, Hearst Professional at Stanford
Robert Kosara, Research Scientist at Tableau
Pete Misner, Principal at Canyon Creek Elementary
In this 8-minute video, get tips from the experts, and see some of the best of examples of storytelling with data.

Sample data science articles

Bill Vorhies is Editorial Director for DataScienceCentral, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001. Below, you will find a selection of his articles posted in the last two years. To check out his most recent posts in 2016, click here. For 2015 posts, click here.

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge

Visit Data Science Central at: http://www.datasciencecentral.com/?xg_source=msg_mes_network

Library Improvement through Data Analytics: New Book

LesleyDataBooMore than ever, funding agencies are looking for cost effectiveness. Sound data analytics is the foundation for making an evidence-based case for library programs, in addition to guiding myriad organizational decisions, from optimizing operations for efficiency to responding to community needs for customer satisfaction. Designed to be useful for novices as well as those with a background in data, “Library Improvement Through Data Analytics,” published by ALA Neal-Schuman, introduces the basics of the Six Sigma framework as a model that can be applied to a variety of library settings. Helping readers make sense of data, authors Lesley S. J. Farmer and Alan M. Safer cover such key topics as:

  • the basics of statistical concepts;
  • recommended data sources for various library functions and processes, and guidance for using census, university, or chamber of commerce data in analysis;
  • techniques for cleaning data;
  • matching data to appropriate data analysis methods;
  • how to make descriptive statistics more powerful by spotlighting relationships;
  • 14 case studies which address such areas as digitization, e-book collection development, and reference; and
  • staffing, facilities, and instruction.

Dr. Farmer, professor at California State University, Long Beach (CSULB), coordinates the Librarianship Program. She chairs the International Federation of Library Associations and Institutions’ School Libraries Section and is a Fulbright Scholar. Dr. Farmer received the American Library Association Beta Phi Mu Award for distinguished service and library education. A frequent presenter and writer for the profession, Farmer has published over 30 professional books and more than a 100 professional book chapters and articles. Dr. Safer is a professor at California State University, Long Beach (CSULB) in the Department of Mathematics and Statistics. Early in his career at the university, he created a MS degree in Applied Statistics and later a professional accelerated MS degree in Applied Statistics for industry students from companies such as Boeing, Raytheon, and Northrop Grumman.  In 2012, he was appointed coordinator of a national conference on quality control sponsored by the American Statistical Association.

ALA Store purchases fund advocacy, awareness and accreditation programs for library professionals worldwide. Founded in 1976 by Patricia Glass Schuman and John Vincent Neal, Neal-Schuman Publishers, now an imprint of ALA Publishing, publishes professional books for librarians, archivists, and knowledge managers. Contact us at (800) 545-2433 ext. 5052 or editionsmarketing@ala.org.