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2. Trilogy Education Services - Wikipedia

   en.wikipedia.org/wiki/Trilogy_Education_Services

   Program graduates receive a non-credited professional certificate from the partner school and career advisement. There is no job placement guarantee and no third-party verified jobs reports have been released, though outcome data is privately shared with partner universities.

3. Data management - Wikipedia

   en.wikipedia.org/wiki/Data_management

   Collecting data from numerous sources and analyzing it using different data analysis tools has its advantages, including overcoming the risk of method bias; using data from different sources and analyzing it using multiple analysis methods guarantees businesses and organizations robust and reliable findings they can use in decision making.

4. Job guarantee - Wikipedia

   en.wikipedia.org/wiki/Job_guarantee

   Eleanor Roosevelt onsite one of the Works Progress Administration Projects, a job guarantee program in the United States. A job guarantee is an economic policy proposal that aims to create full employment and price stability by having the state promise to hire unemployed workers as an employer of last resort (ELR). [1]

5. Employer of last resort - Wikipedia

   en.wikipedia.org/wiki/Employer_of_last_resort

   The sense of a job guarantee program is used and advocated by some schools of Post-Keynesian economists, notably by authors of Modern Monetary Theory at the University of Missouri-Kansas City, the Levy Economics Institute (both United States) and in the Centre of Full Employment and Equity (Australia), who advocate it as a solution for ...

6. Chief analytics officer - Wikipedia

   en.wikipedia.org/wiki/Chief_analytics_officer

   Chief analytics officer (CAO) is a job title for the senior manager responsible for the analysis of data within an organization, such as a listed company or an educational institution. The CAO often reports to the chief executive officer .

7. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.