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Career Trends in Data Analytics June 14, 2012

Career Trends in Data Analytics June 14, 2012. How to Ask Questions. Submit Questions Here. If you experience technical difficulties please call, 1-800-263-6317 Press 1 for GotoWebinar then 2 for TechSupport. CUNY School of Professional Studies (SPS).

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Career Trends in Data Analytics June 14, 2012

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  1. Career Trends in Data AnalyticsJune 14, 2012

  2. How to Ask Questions Submit Questions Here If you experience technical difficulties please call, 1-800-263-6317 Press 1 for GotoWebinar then 2 for TechSupport

  3. CUNY School of Professional Studies (SPS) • Part of the City University of New York (CUNY) • Innovative & academically rigorous programs • Opportunities for personal growth, job mobility, knowledge upgrade • Accredited by the Middle States Commission on Higher Education

  4. Data and More Data

  5. Interesting Applications • Predicting crime spots using data like weather, paydays, holidays, events • Adjusting delivery routes to optimize efficiency based on traffic patterns and delivery schedules • Setting prices at retail outlets according to shopping patterns at individual stores • Mining patient information to recommend appropriate treatment • Analyzing electricity data to identify customer patterns, predict future usage, and intervene as needed

  6. Leslie Hirsch, Director Labor market predictions(big data about careers)

  7. IT Demand in New York City

  8. Key Trends • The speed of technological advancement and proliferation of information generated have greatly increased the need for workers with IT and related analytical skills across the economy. • New York City surpassed Boston this year in the number of IT and “dash-tech” startups • Increasing use of the “cloud” for data storage and processing; decreasing reliance on on-site servers • Growing use of mobile computing • There is a shortage of programmers and developers, particularly those without special visa needs, and a need for more computer science graduates.

  9. Big Data • Magnitude. In 2009, nearly all sectors of the US economy had an average of 200 terabytes or more of stored data per firm, twice the size of WalMart's data warehouse in 1999. • Pace. The amount of data generated is doubling every two years. • Types. The explosion is not just of quantity but also of type: data come in the form of images, video, words, and numbers. • Verticals. The computer and electronic products, information, finance and insurance, government, retail, advertising and media, and health care sectors are poised to gain substantially from the use of big data.

  10. What do IT employers want? • Learning agility and flexibility • Currently used applications and programming languages • Analytics • Deep grounding • Well-rounded intelligence (i.e., the T-shaped professional)

  11. Top 20 IT Tools and Technologies Perl Cascading Style Sheets Agile software development Python Customer relationship management Firewalls Disaster recovery Websphere Hibernate Model View Controller • SQL (Microsoft, Oracle) • Java, Javascript, J2EE, AJAX • Project Management • UNIX • Linux • XML • .NET • Relational database management systems • Product development (lifecycle) • Ruby on Rails SOURCE | Wanted Analytics, Talent Sourcing App. (May-June 2012, NYC Metro)

  12. Andrew Brust, Founder and CEO A Word from the Field

  13. Landscape • There is an acute shortage of analytics-skilled people • Perception is even worse than reality • It’s your market • You may “place out” of entry-level if you arm yourself with the right skills beforehand

  14. Prequalifying SkillsWhat to nail down before your job search • Hadoopwould be a home run; others include… • Java programming, algorithms • For MapReduce • R, statistics (for machine learning, predictive analytics) • Database skills • Baseline: MySQL, PostgreSQL helpful • Also: NoSQL DBs including HBase, MongoDB • Excel and Business Intelligence • Free/open source BI: PowerPivot, Pentaho, Jaspersoft • Bridging the gap between: • The business-y world of Excel and big name BI • The academic/technologist world of Hadoop

  15. Data Science • Machine learning/predictive analytics/data mining • Data/Information Management • Cleansing/quality, master data management • Data transformation; schema management • Statistics, actuarial science • Hadoop and MapReduce • Business domain knowledge • “Knowing what questions to ask” • You will acquire this over your career

  16. Nil SimsekTransportation Engineer B.S. Computer Science M.S. Transportation Planning & Engineering A Word from the Field

  17. Transportation Sector Engineer Public Agencies Planner Private Consultants Analyst Modeler Vendors Developer

  18. Existing Practice Examples • Time-dependent data • Forecasting models • Regional macro analysis • Local microsimulation • Electronic fare collection • Automated vehicle identification (AVI) • Fare cards • Toll collection

  19. Future Practice • Active traffic management • Personalized, real-time information for choosing travel options • Vehicle-Infrastructure Integration (VII) • Mobile phone tolling

  20. Dr. Theodore Brown, • Executive Officer Ph.D. Program in Computer Science • Executive Director, CUNY Institute for Software Design the master’s degree in information systems

  21. What You’ll Learn • What the degree is: • Highly quantitative & analytic • Grounded in real-world problems • What the degree isn’t: • traditional IS degree • Analyze, define, design, implement, and evaluate a systems-level problem • Apply advanced technical tools—real-time programming, simulation and mathematical modeling • Apply a project and IS management framework

  22. Core Courses • Information & Systems • Engineering Mathematics for Complex Systems • Advanced Programming Techniques • Advanced Statistics & Probability Models • Simulation & Presentation • Master’s Research Project

  23. Is the program right for you? • Foundational quantitative skills and an interest in quantitative problem solving • Programming experience • Some work experience is helpful, but not a must • Admission criteria: See http://sps.cuny.edu.

  24. Questions? For more information contact us at 212-652-2869.

  25. Read More • Bartels, Andrew H. with Ellen Daley, Andrew Parker, Boris Evelson, and Chétina Muteba. Smart Computing Drives the New Era Of IT Growth. Forrester Research. December 4, 2009. • Brown, Brad Michael Chui, and James Manyika. Are You Ready for the Era of ‘Big Data’? McKinsey Global Institute. October 2011. • Chui, Michael, Markus Löffler, and Roger Roberts. The Internet of Things. McKinsey Consulting. March 2010. • Lohr, Steve, The Age of Big Data, New York Times, February 11, 2012. • Singer, Natasha, Mission Control, Built for Cities: I.B.M. Takes ‘Smarter Cities’ Concept to Rio de Janeiro, New York Times, March 3, 2012. • Special Report: It's a Smart World. The Economist. London: Nov 6, 2010. Vol. 397, Iss. 8707.

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