Analytics-University
The video discusses various career options in statistics, econometrics, and operations research such as actuary, biostatistician, healthcare policy researcher, data scientist, quantitative analyst, market researcher, and quality or reliability professional. It further explains how statistical proficiency is important in different fields such as Six Sigma, quantitative economics, data journalism, algorithmic trading and data engineering. The speaker also highlights the changing roles of statisticians in industries, which now come under the broader category of data scientists or quantitative analysts, serving as civil service jobs with a vital role in policy making.
In this section, it is discussed that there are several lucrative career choices in statistics, such as becoming an actuary, a biostatistician, a healthcare policy researcher, a data scientist, or a quantitative analyst. Actuarial science is a highly paid profession that requires passing difficult and math-heavy examinations. Biostatisticians work in the pharmaceutical industry and apply statistics in research in medical science or clinical research. Healthcare policy researchers are employed in the public and private sectors, and data science is now a well-sought field because companies across all industries use data to solve business problems. Quantitative analysts work in banking or insurance companies, while market research is more interdisciplinary and less quantitative than data science. Lastly, being a quality or reliability professional requires a background in statistics, operation research, or industrial engineering, and people in this field can work in inventory management, order management, supply chain management, or warehouse management.
In this section, we learn about different career options in statistics, econometrics, and operations research. Six Sigma, a quality and reliability improvement technique, heavily uses statistics, making candidates with a background in statistics preferred. Quantitative economists also heavily use statistical techniques to solve economic problems. Statistical proficiency is also important in roles such as data journalism, algorithmic trading, and data engineering. Lastly, a career in statistics is a solid option for individuals interested in statistical analysis and research.
In this section, the speaker talks about the changing roles of statisticians in industries, who are now being referred to as data scientists or quantitative analysts. While these jobs can be found in the public sector and international bodies such as IMF, World Bank, and United Nations, they mostly serve as civil service jobs and have an important role in policy making.
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