1. What are the responsibilities of Epidemiologist?
Investigates and analyzes the patterns, causes, and effects of diseases and other health problems within a population. Collects, analyzes, and interprets disease data using appropriate statistical and research methods. Develops and implements strategies to prevent and control diseases. Communicates findings to policymakers, health practitioners, and/or the public. Requires a master's degree in public health or related field. Typically reports to a manager. Work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Typically requires 4-7 years of related experience.
2. What are the skills of Epidemiologist
Specify the abilities and skills that a person needs in order to carry out the specified job duties.
Each competency has five to ten behavioral assertions that can be observed,
each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Analysis:
Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Data Analysis:
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
3.)
SPSS:
SPSS stands for “Statistical Package for the Social Sciences”, it is a Windows based program that is used to perform data entry, analysis and to create tables and graphs. Capable of handling large amounts of data and can perform all of the analyses.
