Data Scientists: The Definition of Sexy

Posted on October 7, 2012 by GilPress

I put “sexy” in the title because I’m told that the words in the title make all the difference in getting noticed on the Web. That has certainly proven true for the Harvard Business Review after it included the word “sexiest” in the title of a recent article. It even got the attention, probably for the first time ever, of Geekosystem, a website devoted to geeks:

The Harvard Business Review, a noted authority on “things that are sexy,” has declared “Data Scientist“ to be the sexiest career of the 21st century. The article reflects the burgeoning mystique of the new and pocket protector friendly gig, which we have to assume narrowly edged out things like “Chippendales dancer” and “calendar firefighter” on its way to being named the sexiest of all possible careers. Because if there’s one thing that gives a job an indefinable allure, it is everybody else being kind of unsure what it is you really do — a quality that data scientists damn near embody.

Whether employers know or don’t know what data scientists do, they have been using—in rapidly-growing numbers—the term“data scientist” in job descriptions in the past two years as Indeed.com’s data demonstrates.   

Continue reading →
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Big Data and Data Science Events September-December 2012

Posted on September 16, 2012 by GilPress

Big Data and Data Science Events

September – December 2012

Last updated September 16, 2012

TDWI World Conference   Sep 16–21, Boston

Predictive Analytics World–Government   September 17-18, Washington DC

*** To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12 ***

An Introduction to Machine Learning for Hackers: O’Reilly Strata Webcast September 18, 10am PT

Government Big Data Conference, September 18-19, Arlington, VA

Big Data World Europe   September 19-20, London

Sixth IEEE International Conference on Semantic Computing   September 19-21, Palermo, Italy

GigaOM Mobilize   September 20-21, San Francisco

Sports Analytics Innovation Summit, September 20-21, San Francisco

Data 2.0 Conference & Expo   September 21, San Francisco

Data 2.0 Labs: 2012 City-Wide Data Festival   September 22-27, San Francisco

Data Analytics 2012   September 23-28, Barcelona, Spain

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases   September 24-28, Bristol, UK

The Business Value of Big Data, September 27, Temple University, Philadelphia

London DataDive   September 28, London

Predictive Analytics World   September 30-October 4, Boston

*** To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12 ***

Marketing Optimization Summit   September 30-October 4, Boston   Continue reading →

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The Data Scientist Will Be Replaced By Tools

Posted on September 13, 2012 by GilPress

We just started to use the term “data scientist” and the demise of this new profession is already predicted? Well, at least it’s not one more “rise of the machines” prophecy; it’s the provocative title of a proposed panel for the upcoming SXSW.

The organizer of the panel, Scott Hendrickson of Gnip, has provided a useful run-down of some of the arguments for and against the possible disappearance of data scientists. Supporting the proposition are the current scarcity of data science talent and a slew of startups providing “data science as a service.” As an example of the opposition to the “democratization of algorithms,” Hendrickson quotes Cathy (Mathbabe) O’Neil who wrote recently that “if your model fails, you want to be able to figure out why it failed. The only way to do that is to know how it works to begin with. Even if it worked in a given situation, when you train on slightly different data you might run into something that throws it for a loop, and you’d better be able to figure out what that is.” In other words, machines will never have the deep understanding of the tools of data science that is required to practice data science.   Continue reading →

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The Data Science Interview: Mingsheng Hong, Hadapt

Posted on September 5, 2012 by GilPress

Data scientists are data junkies—when they see a new data set they are just naturally excited and can’t wait to explore.

Mingsheng Hong is Chief Data Scientist at Hadapt, a Boston-based startup that offers an analytical platform that integrates structured and unstructured data in one cloud-optimized system. Before joining Hadapt, Mingsheng was Field CTO for Vertica. He holds a Ph.D. in Computer Science from Cornell and a BSc in Computer Science from Fudan University. Mingsheng is president of NECINA and is active in St. Baldrick’s Foundation, a volunteer-driven charity that funds research to find cures for childhood cancers. I talked to Mingsheng just before he shaved his head, a visual indicator and act of solidarity expected from successful St. Baldrick’s fundraisers.

As a graduate student, were you thinking of an academic career?

At Cornell, I explored both academic and private industry career tracks. I love research and innovation, and discovered my passion for explaining ideas to people from various backgrounds and getting them excited about these ideas. While that aligns with a more academic track, in the end I decided the private sector was a better fit for me. I’m driven by the challenge of taking an idea and carrying it end-to-end, from idea to product development to sales. During graduate school, I had the opportunity to visit Microsoft for a few summers, and I got a lot of exposure to database R&D and came away with a good feel for the industry. My research work there was commercialized in SQL Server 2008 and 2012, which was very exciting.   Continue reading →

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Social Media & Web Analytics Innovation Summit

Posted on August 28, 2012 by GilPress

Join me in Boston this September 13 & 14 for the exclusive Social Media & Web Analytics Innovation Summit – bringing together the industry’s most innovative leaders and professionals for two days in an open and interactive environment.

The event will combine keynote presentations from over 35 industry experts, with interactive breakout sessions and open discussion. There will also be networking opportunities and workshops to share industry insights and innovation with your peers.

Confirmed Speakers include:

– Vice President, Digital Marketing & Analytics, Discovery
– Vice President, Web Analytics, Amazon
– Head, Digital Marketing, Siemens
– Senior Vice President, Research, NBCUniversal
– Director, Product Intelligence, Salesforce
– Senior Director, Personalization & Targeting, CBS Interactive
– Director, Global Social Media, Ancestry
– Director, Business Intelligence, KPMG
– And many more…

Register online at http://analytics.theiegroup.com/social-boston/registration

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Gartner’s Hype Cycle for Big Data

Posted on August 16, 2012 by GilPress

Louis Columbus at Forbes.com surveys key big data forecasts and market size estimates, including Gartner’s recent Hype Cycle for Big Data. The winning technologies in the immediate future? “Column-Store DBMS, Cloud Computing, In-Memory Database Management Systems will be the three most transformational technologies in the next five years.  Gartner goes on to predict that Complex Event Processing, Content Analytics, Context-Enriched Services, Hybrid Cloud Computing, Information Capabilities Framework and Telematics round out the technologies the research firm considers transformational.”

More on the report from Beth Schultz at AllAnalytics:

Gartner’s Hype Cycle is extremely crowded, with nearly 50 technologies represented on it. Many of them are clustered at what the firm calls the peak of inflated expectations, which it says indicates the high level of interest and experimentation in this area. As experimentation increases, many technologies will slide into the “trough of disillusionment,” as MapReduce, text analytics, and in-memory data grids have already done, the report says. This reflects the fact that, even though these technologies have been around for a while, their use as big-data technologies is a newer development.

Interestingly, Gartner says it doesn’t believe big-data will be a hyped term for too long. “Unlike other Hype Cycles, which are published year after year, we believe it is possible that within two to three years, the ability to address new sources and types, and increasing volumes of information will be ‘table stakes’ — part of the cost of entry of playing in the global economy,” the report says. “When the hype goes, so will the Hype Cycle.”

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Big Data Quotes of the Week: August 10, 2012

Posted on August 10, 2012 by GilPress

“With big data, you have only two concerns, but they are, naturally, big ones: where the data will come from and what your company will do with it. Solve these and you have big data licked… IT projects have to be fully buzzword-compliant or they’ll fail. For a big data project, this means Hadoop. If you don’t want to invest staff time and energy learning this technology, do what my client did: Build a virtual server, install MySQL on it, and assign the name “Hadoop” to the server. When your BDSC (big data steering committee) asks if you’ve installed Hadoop, you can answer in the affirmative with a clear conscience”—Bob Lewis    Continue reading →

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Graduate Programs in Data Science and Big Data Analytics

Posted on August 9, 2012 by GilPress

Graduate Programs 

in Data Science and Big Data Analytics

Last updated: July 9, 2019

See below for online programs and courses and other options and resources

Aegis School of Business, Data Science & Telecommunication (India)

Post Graduate Program in Business Analytics and Big Data

American Sentinel University

Master of Health Care Informatics

Arizona State University

MS in Business Analytics

Barcelona Graduate School of Economics (Spain)

Master in Data Science

Barcelona Technology School (Spain)

Master in Big Data Solutions

Ben-Gurion University of the Negev (Beer-Sheva, Israel)

MSc in Information Systems Engineering with focus on Data Mining and Business Intelligence

Bentley University

M.S. in Marketing Analytics

Berlin School of Economics and Law (Germany)

Master of Science in Business Intelligence and Process Management

Brown University

Master’s in Data Science

Carnegie Mellon University

Master of Computational Data Science

Master of Information Systems Management (MISM) degree with a Business Intelligence and Data Analytics (BIDA) concentration

MS in Machine Learning

Catholic University of America

The Master of Science in Business Analysis

Central Connecticut State University

Master of Science in Data Mining

Graduate Certificate in Data Mining

Central Michigan University

Graduate Certificate in Data Mining

City University London (UK)

MSc in Data Science

Clarkson University

MS in Data Analytics

Columbia University

Master of Science in Data Science

Master of Science in Information and Knowledge Strategy

Certification of Professional Achievement in Data Sciences

Cornell University 

Masters of Engineering in Operations Research and Information Engineering – Data Analytics Concentration

Dartmouth College

PhD in Quantitative Biomedical Sciences

Data ScienceTech Institute (Paris and Nice, France)

MSc in Data Science

MSc in Big Data Analytics

DePaul University

M.S. in Predictive Analytics

Drexel University

Master of Science in Business Analytics

Donau-Universität Krems (Austria)

MSc in Data Studies

Dublin City University (Ireland)

MSc in Computing (Data Analytics Major)

Dublin Institute of Technology (Ireland)

MSc in Computing (Data Analytics)

Ecole Central Paris (France)

MSc in Data Science

Eindhoven University of Technology (Netherlands)

M.S. in Data Science

Fordham University

MS in Business Analytics

George Mason University

MS in Computational Science

PhD in Computational Sciences and Informatics

Georgetown University

Master of Science in Analytics with a concentration in Data Science

George Washington University

MS in Business Analytics

Harrisburg University

M.S. in Analytics

Harvard University

Master of Science (SM) in Computational Science and Engineering (CSE)

Heriot-Watt University (Edinburgh, UK)

MSc in Data Science

IE University (Madrid, Spain)

Master in Business Analytics and Big Data

Illinois Institute of Technology

Master of Data Science

Master of Science in Marketing Analytics and Communication

MBA in Business Analytics

Imperial College (London, UK)

MSc in Data Science and Management

Indiana University Bloomington

M.S. in Data Science

Indiana University-Purdue University Indianapolis School of Informatics

PhD in Informatics

Iowa State University

Master of Business Analytics

Jacksonville University

Master of Science in Applied Business Analytics

Jheronimus Academy of Data Science (Netherlands)

Data Science Master’s Programs

John Hopkins University

Master of Science in Bioinformatics

Kennesaw State University

Master of Science in Applied Statistics

Lipscomb University

Master of Science in Informatics and Analytics 

Loras College

MBA in Business Analytics

Loyola University Maryland

Master of Science in Data Science

Louisiana State University

Master of Science in Analytics

Maastricht University (Maastricht, the Netherlands)

MSc in International Business/Business Intelligence

Macquarie University (Sydney, Australia)

Master of Data Science

Merrimack College

Master of Science in Data Science

Michigan State University

MS in Business Analytics

MIT

Master of Business Analytics (M.B.An.)

New College of Florida

Master in Data Science

New Jersey Institute of Technology

Graduate Certificate in Data Mining

New York University

MS in Data Science

MS in Business Analytics

MS in Applied Urban Science and Informatics

North Carolina State University

M.S. in Analytics

Northeastern University

Graduate Certificate in Data Science

MS in Bioinformatics

Northwestern University

Master of Science in Analytics

Nova Northeastern University

Graduate Certificate In Business Intelligence / Analytics

Oakland University

Master of Science in IT Management – Business Analytics

Pace University

MS in Customer Intelligence and Analytics

Purdue University

MBA in Business Analytics

Rensselaer Polytechnic Institute

Master of Science in Business Analytics

Robert Gordon University (Aberdeen, UK)

MSc in Data Science

Rutgers University

MBA in Analytics and Information Management

MBS in Analytics

Saint Mary’s College

Master of Science in Data Science

Saint Peter’s University

Master of Science in Data Science

Stanford University

Matser of Science in Biomedical Informatics

Mining Massive Data Sets Graduate Certificate

Stevens Institute’s Wesley J. Howe School of Technology Management

Master of Science in Business Intelligence and Analytics

Graduate Certificate in Business Intelligence and Analytics

Swansea University (Wales, UK)

MSc in Health Data Science

Syracuse University School of Information Studies

Graduate Certificate of Advanced Studies in Data Science

MS in Applied Data Science

Texas A&M University

Master of Science in Analytics

Università di Pisa

Master in Big Data

University College Dublin (Ireland)

MSc in Business Analytics

University College London (UK)

MSc in Machine Learning

University of Auckland (Auckland, New Zealand) 

Master of Professional Studies–Data Science

University of California, San Diego

Master of Advanced Study in Data Science and Engineering

University of Chicago

Master of Science in Analytics

M.S. in Computer Science/Data Analytics

University of Cincinnati

MS in Business Analytics

University of Connecticut

MS in Business Analytics and Project Management

University of Dundee (Dundee, UK)

MSc in Data Engineering

MSc in Data Science

University of Edinburgh (UK)

Informatics MSc

PhD in Data Science

University of Essex (Colchester, UK)

MSc Big Data and Text Analytics

University of Glasgow (UK)

MSc Data Science

University of Illinois at Urbana-Champaign

Master of Science in Statistics/Analytics Concentration

University of Iowa

Graduate Certificate in Business Analytics

University of Magdeburg (Magdeburg, Germany)

MSc in Data and Knowledge Engineering

University of Maryland

Master of Science in Business for Marketing Analytics

University of Maryland University College

Master of Science in Data Analytics

University of Massachusetts, Dartmouth

MS in Data Science

University of Michigan-Dearborn

MS in Business Analytics

University of Rochester Simon School of Business

MS in Business Analytics

University of San Francisco

M.S. in Analytics

University of Southern California Marshall School of Business

Master of Science in Business Analytics

University of Stirling (UK)

MSc in Big Data

University of Tennessee

Master’s in Business Analytics

Graduate Certificate in Business Analytics

Ph.D. in Analytics

University of Texas at Austin

Master of Science in Business Analytics

University of Virginia

Master of Science in Data Science

University of Warwick (UK)

MSc in Data Analytics

University of Washington

Certificate in Data Science

Virginia Commonwealth University

Master of Science in Business with a decision sciences and business analytics concentration

Worcester Polytechnic Institute

M.S. in Data Science

PhD in Data Science

York University

MSc in Business Analytics

Fellowship/Training Programs

DS12

The Data Incubator

Data Science for Social Good 

Data Science DOJO

Insight Data Science Fellows

NYC Data Science Academy

Zipfian Academy

Online University Programs

Aegis School of Business, Data Science and Telecommunication

Post Graduate Program in Business Analytics and Big Data

American Sentinel University

Master of Geospatial Information Systems Program

Arizona State University

Master of Advanced Study in Health Informatics

Bay Path University

MS in Applied Data Science

Brandeis University

Master of Science in Strategic Analytics

Carnegie Mellon University

Master of Science in Business Analytics

City University of New York

M.S. In Data Analytics

Elmhurst College

M.S. in Data Science

Harrisburg University

M.S. in Analytics

Indiana University

M.S. in Data Science

Lewis University

Master of Science in Data Science

Maryville University

Master of Science in Business Data Analytics

Northwestern University

Master of Science in Predictive Analytics

Nova Northeastern University

Graduate Certificate In Business Intelligence / Analytics 

Saint Joseph’s University

Master of Science in Business Intelligence & Analytics

Saint Mary’s College

MS in Data Science

Southern Methodist University

Master of Science in Data Science

Thomas Edison State College

MBA in Data Analytics

University of North Carolina

MBA (Data Analytics and Decision Making Concentration)

University of California, Berkeley 

Master of Information and Data Science

University of California, Riverside

Master of Science in Engineering (Data Science specialization)

University of Wisconsin

Master in Data Science

Online Courses (Free)

Coursera

Computing for Data Analysis

Data Analysis and Statistical Inference

Web Intelligence and Big Data

Process Mining: Data science in Action

Data Society Online Courses

Intro to Data Science, Machine Learning, etc.

edX

Data Science and Machine Learning Essentials

Wiretaps to Big Data: Privacy and Surveillance in the Age of Interconnection

Harvard University

Data Science

Visualization

Udacity

Introduction to Artificial Intelligence

Introduction to Statistics

Online Courses (for a fee)

365DataScience

Data Scientist Track

Booz Allen Hamilton

Explore Data Science

Coursera

Data Science Specialization

Executive Data Science Specialization

MIT

Tackling the Challenges of Big Data

Udacity

Exploratory Data Analysis

Intro to Data Science

Introduction to Hadoop and MapReduce

University of California, Irvine

Introduction to Data Science

Note: For similar lists, including undergraduate programs, see here and here and here and here

Resources

2019 Salaries Of Data Scientists

A Very Short History of Data Science

A Very Short History of Big Data

A Very Short History Of Artificial Intelligence (AI)

Harvard Data Science Review

 

 

 

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Big Data Events

Posted on August 6, 2012 by GilPress

Big Data and Data Science Events

August – November 2012

Last updated August 6, 2012

Highlights: Partner Events

Big Data Innovation Summit September 13-14, Boston

Predictive Analytics World–Government September 17-18, Washington DC

To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12

Predictive Analytics World September 30-October 4, Boston

To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12

Text Analytics World Oct 3-4, Boston

To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12

Predictive Analytics World  November 6-7, Düsseldorf

To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12

Predictive Analytics World November 27-28, London

To get a 15% off of the 2 Day and Combo passes, use this code:   WTBDBP12

The 13th Annual International Conference on Information Reuse and Integration   August 8-10, Las Vegas

The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining   August 12-16, Beijing, China     Continue reading →

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Gartner on Big Data

Posted on August 5, 2012 by GilPress

In its just-published Hype Cycle for Cloud Computing 2012, Gartner predicts that “Big Data will deliver transformational benefits to enterprises within 2 to 5 years, and by 2015 will enable enterprises adopting this technology to outperform competitors by 20% in every available financial metric.” The “transformational benefits,” however, will be delivered to very few enterprises according to another Gartner prediction, from December 2011: “Through 2015, more than 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage.”

Gartner currently positions Big Data just below “the peak of inflated expectations.”

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