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  2. Registered Professional Accountant - Wikipedia

    en.wikipedia.org/wiki/Registered_Professional...

    Mature students that have been operating their own practice as a bookkeeper for 5 years, or working with an accountant as a bookkeeper for 8 years, may take the RPA Prescribed Courses (Financial Accounting, Management Accounting, Canadian Business Law, Ethics, Canadian Income Tax I & II, and Data Analytics), and the MPE Review Sessions.

  3. Business analyst - Wikipedia

    en.wikipedia.org/wiki/Business_analyst

    Completing a master's degree - masters degrees "help add more skills and significantly increase your salary". [19] Examples of masters degrees which are relevant to business analysts include business analytics, business informatics, business intelligence & analytics, data science, management information systems or information technology. [19]

  4. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...

  5. From stock market news to jobs and real estate, it can all be found here. ... new analysis finds. ... New Census data finds the typical household earned $80,610 last year, a 4% jump from 2022 and ...

  6. Chartered Institute of Management Accountants - Wikipedia

    en.wikipedia.org/wiki/Chartered_Institute_of...

    The CGMA Competency Framework was also launched in 2014. The framework shows the range of technical, accounting and finance skills that management accountants need to do their jobs and consists of four knowledge areas: Technical Skills, Business Skills, People Skills and Leadership Skills, all underpinned by Ethics, Integrity and Professionalism.

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

  8. Financial analyst - Wikipedia

    en.wikipedia.org/wiki/Financial_analyst

    In corporate roles, financial analysts perform budget, revenue and cost modelling and analytics as part of their responsibilities; [10] [12] [13] credit analysis is likewise a distinct area. [14] Financial analysts invariably use spreadsheets (and statistical software packages) to analyze financial data, spot trends, and develop forecasts. The ...

  9. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .

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