How much programming is a statistician supposed to know?

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In summary, for those interested in pursuing a career as a statistician, it may be beneficial to have some knowledge of computer science. Depending on the specific field of statistics, different programming languages and platforms may be important, such as VBA, Excel, R, SAS, MATLAB, or C/C++. However, it is not necessary to take up to 2nd year courses in computer science. It may be helpful to gain experience with statistical software such as SAS or R, as computer skills are becoming increasingly important in many industries.
  • #1
kramer733
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Should one who is trying to be a statistician supposed to know ALOT about computer science?
Should i take up to 2nd year courses on computer science? Would they need to take design and analysis of algorithms or computable functions
 
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  • #2
kramer733 said:
Should one who is trying to be a statistician supposed to know ALOT about computer science?
Should i take up to 2nd year courses on computer science? Would they need to take design and analysis of algorithms or computable functions

It depends.

For example if you doing something like what an actuary does, VBA, Excel, R, and SAS as well as custom platforms for that job are probably sufficient. You might need to do some database analysis which translates to SQL.

If you're doing something in the vicinity of signal processing, then something like MATLAB or C/C++ is probably going to be important.

If you are coding simulations and need the speed, you probably will need something bare to the metal like C/C++ compiled libraries or maybe even ones written in an assembly level environment.

Typically what will happen is that you will use something that's easy to get results from and also able to generate them quickly: Whatever platform you need to use, you'll just learn that and get it to do what you need to.

In regards to your question, I don't think its necessary to take those (in the context of you wanting to do statistics), but if you're interested I don't see why not.

If you are interested in statistics I would suggest you get some experience with something like SAS or R. R is free and comes with a lot of libraries and documentation. SAS is like a standard platform for statistical analysis and is used widely in the USA.
 
  • #3
Computer skills are rapidly becoming vital in almost every discipline anymore. Its sort of like typing skill was 30 years ago.
 

1. How much programming experience is necessary for a statistician?

A statistician should have a basic understanding of programming, including knowledge of data types, control structures, and functions. More advanced skills in programming languages such as R, Python, or SAS may also be beneficial.

2. Is programming a necessary skill for a statistician?

Programming is becoming increasingly important for statisticians as data sets continue to grow in size and complexity. The ability to manipulate and analyze data using programming languages allows for more efficient and accurate analyses.

3. What programming languages are most important for a statistician to learn?

The most commonly used programming languages in statistics are R, Python, SAS, and MATLAB. However, the specific language may vary depending on the field of study and specific job requirements.

4. Can a statistician be successful without strong programming skills?

While some basic programming skills may be sufficient for certain roles, a statistician with strong programming abilities will have a competitive edge in the job market and be able to handle more complex data analysis tasks.

5. How can a statistician improve their programming skills?

There are many resources available for statisticians to improve their programming skills, such as online tutorials, coding bootcamps, and workshops. Additionally, practicing and working on data analysis projects can help improve programming proficiency.

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