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Info Session - Data Analyst in Health Care and Financial Industry

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20 Eglinton Ave E

20 Eglinton Avenue East

#390

Toronto, ON M4P 1A6

Canada

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An Entry-Level Data Analyst earns an average salary of C$51,854 per year. (source: payscale.com)

Learn more about becoming a data analyst in Health Care and Financial Industry

Healthcare analysts compile important medical data through the use of computer-based applications. They work full-time (most of the time) at health care agencies or hospitals gathering, compiling, building, validating, and analyzing data needed by the company. The data can then be used to understand the current trends in the health care system also to make well-informed decisions.

Analysts may also be asked to develop projects for providing more effective health care, as well as resolve current service issues. They must have the ability to take care of multiple projects, as well as meet time restrictions and expectations. Designing new approaches to health care delivery are often included within the position.

What can I do with SAS?
SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics. You can use SAS software through both a graphical interface and the SAS programming language, or Base SAS.
With SAS software, you can

  • access data in almost any format, including SAS tables, Microsoft Excel tables, and database files.
  • manage and manipulate your existing data to get the data that you need. For example, you can subset your data, combine it with other data, and create new columns.
  • analyze your data using statistical techniques ranging from descriptive measures like correlations to logistic regression and mixed models to sophisticated methods such as modern model selection and Bayesian hierarchical models.
  • present the results of your analyses in a meaningful report that you can share with others. The reports that you create can be saved in a wide variety of formats, including HTML, PDF, and RTF.

Benefits of SPSS
Here are few key points why SPSS is considered the best tool to use

- Effective data management
SPSS in data analysis easier and quicker for you as the program knows the location of the cases and the variables. It reduces the manual work of the user to a great extent

- Wide range of options
SPSS offers a wide range of methods, graphs and charts to you. It also comes with better screening and cleaning option of the information as a preparation for further analysis.

- Better output organization
In SPSS the output is kept separate from the data itself. It stores the data in a separate file.


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20 Eglinton Ave E

20 Eglinton Avenue East

#390

Toronto, ON M4P 1A6

Canada

View Map

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