How to become a Statistician – A Complete Career Guide
Statisticians use the concepts of applied statistics to analyze large sets of data, interpret this data, and extrapolate meaning from it. Statisticians collect data via methods such as polls and experiments, and present conclusions to other members of their organizations. There are numerous employment opportunities for statisticians, such as in research, academia, government, healthcare, and manufacturing.
It may be easy to confuse being a statistician as synonymous with a mathematician — after all, statistics is a discipline of mathematics, and both careers are going to involve working primarily with numbers and theorems. However, while a career in mathematics will often lead to a career in the government or in academia, statisticians are generally employed by private companies, creating models in order to understand the data and stats that can help their employers drive their businesses.
What is a Statistician?
A statistician works in the field of applied or theoretical statistics. While many theoretical statisticians work in academia, applied statistics is necessary to solve problems in business, which is the field we’re focusing on here. Applied statisticians must obtain accurate data, process vast amounts of raw data, and analyze these complex data sets with specialized software. They then present their conclusions about their findings to colleagues, employers, and other shareholders to inform business strategy.
What does a Statistician do?
Statisticians work with data from start to finish. First, a statistician must gather data necessary and relevant to their research. Often, the statistician must design the surveys, questionnaires, and experiments that leads to this data collection, including decisions about sample sizes and method of polling. The statistician then analyzes this data using technical software, and identifies trends and patterns, while also making sure that the data is reliable. Finally, a statistician creates ways to visualize this data, such as in the form of graphs, charts, reports, and so on, and presents this information to others. The statistician may need to acknowledge any sampling errors and suggest further lines of inquiry or provide ways that the data supports certain recommendations for an organization to take to improve some aspect of the business.
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|School Name||Level||Program||More Info|
|Georgetown University||Master||Master of Science in Business Analytics||Website|
|Concordia University, St. Paul||Master||Master of Science in Data Analytics||Website|
|Johns Hopkins||Master||Online MS in Data Analytics and Policy||Website|
|George Mason University||Master||Online MS in Data Analytics Engineering||Website|
|Utica College||Master||Online MS in Data Science||Website|
|Capella University||Bachelor||B.S. in Data Analytics||Website|
|Southern New Hampshire University||Bachelor||B.S. in Data Analytics||Website|
|Scranton University||Master||Online MS in Business Analytics||Website|
|Drake University||Master||Online Master of Data Analytics||Website|
|Northern Illinois University||Master||Online Master of Science in Data Analytics||Website|