Become a Statistician: Get Advice from Experts in the Field

  • Context: Undergrad 
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SUMMARY

The discussion centers on transitioning from academic studies in mathematics to a career in statistics, with a focus on applied statistics. The participant has experience in R language and seeks guidance on preferred fields and further studies. Experts emphasize the importance of specifying educational background and career goals to receive tailored advice. Key areas of applied statistics include data analysis, biostatistics, and machine learning.

PREREQUISITES
  • Understanding of basic statistical concepts
  • Familiarity with R programming language
  • Knowledge of data analysis techniques
  • Awareness of various fields within applied statistics
NEXT STEPS
  • Explore advanced R programming techniques for statistical analysis
  • Research biostatistics and its applications in healthcare
  • Learn about machine learning algorithms and their statistical foundations
  • Investigate data visualization tools and techniques for effective communication of statistical findings
USEFUL FOR

Students transitioning from mathematics to statistics, aspiring statisticians, and professionals seeking to enhance their skills in applied statistics and data analysis.

DrunkenPhD
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Just finished my math studies.
I have been studying mostly statistics and have some experience in R language.
Need advice from experts working in field for further steps to make a career .
Which are most preferred fields of applied statistics and what I should study next?
Thx
 
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Wow, that's like saying hey I'm a math major and I need to know what to study next. I have no idea why classes you have taken, what level of education you have or plan to obtain, and what your career goes are. Until you fill in the blanks no answer here will be relevant.
 

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