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The IBM Toronto Software Lab is the largest software development laboratory in Canada and IBM's third largest software lab. Established in 1967 with 55 employees, [1] the Toronto Lab, now located in Markham has grown to employ 2,500 people. These employees develop some of IBM's middleware. [2]
Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.
When Harvard Business Review called data scientist "The Sexiest Job of the 21st Century" the term became a buzzword, [4] and is now often applied to business analytics, or even arbitrary use of data, or used as a term for statistics. While many university programs now offer a data science degree, there exists no consensus on a definition or ...
[5] [6] The Data Incubator is considered among the leading data science incubators in the United States. Through this partnership, CADS was the first in the Association of South-East Asian Nations to offer a data science accelerator program to transform science and engineering talents in Southeast Asia into qualified data scientists. [ 7 ]
Former IBM Canada Head Office Building at 3600 Steeles East. IBM Canada's head offices are currently located in Markham, Ontario and have been there since the early 1980s. The current building IBM occupies is located at 8200 Warden Avenue and shared with existing tenant IBM Toronto Software Lab in 2001.
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The M.S. in QM and Analytics is designed to prepare students to pursue a variety of QM and/or Analytics careers such as Quality Manager, Quality Analyst, Data Analyst, Business Analyst, Quality Consultant, and Quality Systems specialist, or to pursue doctoral-level graduate studies in preparation for research and instructional roles in quality ...
A Master of Science in Business Analytics (MSBA) is an interdisciplinary STEM graduate professional degree that blends concepts from data science, computer science, statistics, business intelligence, and information theory geared towards commercial applications. Students generally come from a variety of backgrounds including computer science ...