Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. This degree prepares students for entry-- and mid--level roles in analytics (e.g. Analytics Managers, Data Analysts, Data Systems Developers, Data Scientists & Advanced Analysts), and data driven decision
-
statistics, data exploration, data visualization, , database management systems, leadership and risk management in analytics, business support and predictive analytics. The mission of the Master of
-
be prepared to work with global student populations. Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data
-
and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among
-
About the Opportunity Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization
-
Professional Studies Analytics, located on-ground in Oakland, Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data
-
-¬‐ and mid-¬‐level roles in analytics (e.g. Analytics Managers, Data Analysts, Data Systems Developers, Data Scientists & Advanced Analysts), and data driven decision makers (e,g, CEOs and CIOs, Product
-
Professional Studies Analytics, located on-ground in Boston, MA. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data
-
expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational
-
. This position is located at the Northeastern University Boston Campus. Responsibilities: Instructional areas included, but are not limited to, analytics/AI (e.g., probability and statistics, data exploration