Statistician

Statisticians analyse and interpret numerical data to allow informed planning and decision-making. The results of the estimates and forecasts are used for data collection, statistical and analytical techniques, and patterns. They may be employed as independent consultants in government or private agencies, corporations or companies.

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KEY SKILLS

  • Hypothesis testing

  • Summary statistics

  • Calculus

  • Linear algebra

  • Probability

  • Python

  • C/C++

  • Databases

  • Machine learning

  • Communication skills

  • Objective Reasoning Skills

  • Strong Foundation in Mathematical Statistics

  • Logical Thinking Versatility in solving problems

  • Strong Background in Statistical Computing

  • Statistical software

PROS

  • You get to work with intelligent people doing socially relevant work that might even improve people’s lives.

  • Usually, it has regular hours most of the time (except when a grant is due).

  • The work is very interesting.

  • You get money on time usually.

  • In most roles, there is not a lot of stress.

CONS

  • You have to constantly learn something new to be relevant and good at your work.

  • If you are a freelancer you need to keep looking for more work.

  • It can get monotonous.

OPPORTUNITY TYPES

GOT WHAT IT TAKES?

  • Companies

  • Freelancer

  • Agencies

  • Consultants

  • Banks 

  • You like to determine the problem to be solved, and what data is needed to solve it.

  • You know how to choose appropriate methods to acquire data, at times designing new data collection tools.

  • You know how to carry out the process of collecting data or train others to do so.

  • You like to prepare data for analysis, including monitoring data quality, and find ways to improve data collection or analysis for future projects.

  • You can interpret complex data sets using analytical tools, including software, algorithms, and models.

  • You love identifying trends in the data through a combination of technical skills and business understanding.

  • You know how to report conclusions via data visualization to shareholders, often including non-technical audiences.

KEY OPPORTUNITIES

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Interesting Facts about the career

  • What is the difference between actuaries and statisticians?

Both actuaries and statisticians have similar skills sets, such as computer knowledge, mathematical knowledge, and the use of statistical techniques. Where they differ is their employment settings, and the scope of their work.  Actuaries work specifically within the insurance industry, and handle data related to risk, providing companies with statistical probabilities of future occurrences. They focus on the financial losses that are associated with accidents, illnesses and natural disasters, and help insurance companies assign what coverage and premiums the client should be charged.  Statisticians (sometimes called data scientists) can work in a variety of settings, with multiple types of data. They are employed in banks, government agencies, consulting firms, technology firms, health-care organizations.. anywhere that collects and handles large amounts of data. They use statistical techniques to extract, analyze and summarize, turning complicated data sets into usable information. This information is then given to management, which will in turn use it to make informed decisions and policies.

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