Arlington, VA (PRWEB) February 24, 2014
"Analytics for Data Science": This certificate focuses on concepts and applications. Standard software is used, providing relatively short learning curves. Topics include predictive analytics, machine learning, forecasting, social network analysis, optimization, data visualization, data mining, statistical modeling, risk modeling, queuing, spatial analysis, recommender systems, and time-to-event analysis. This certificate can be completed in about 18 months. We offer flexible start times throughout the year. For more information, see http://www.statistics.com/analytics-for-data-science.
"Programming for Data Science": This certificate focuses on the open-source programming environments seen in analytics and Big Data applications - R, Python, Hadoop, SQL. The program includes applications to predictive modeling, social data mining and text analytics. This certificate provides exams to test programming proficiency. A typical student profile in this program might be someone working in IT who wants to expand into analytics; a student with programming experience would require about a year to complete all courses. Instruction in basic programming is available for novice programmers (in this situation, the course of study would require 2-3 years - becoming a good programmer requires lots of practice). For more information, see http://www.statistics.com/programming-for-data-science.
These certificates are part of The Institute's Programs in Analytics and Statistical Studies (PASS): part-time programs for professionals seeking to add to their skill set. The courses are typically four weeks, and do not require that you be online at any particular time of day.
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The Institute for Statistics Education at Statistics.com is a pioneer in high quality, student-centered online education. Since the first course in 2002, The Institute focuses exclusively on analytics and statistics, and now offers over 110 courses and four certificate programs. Students from around the world learn with us.
For more information, visit http://www.statistics.com/data-science/