9 Career Options in Statistics after Class 12th PCM

Data Science Specialization  This course is one of the highly rated and most popular on this list. JHU did an excellent job of balancing breadth and depth in the curriculum. 

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Data Analyst:  Data analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical techniques to identify trends, patterns, and insights from data. 

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Data Science MicroMasters MicroMasters  Data Science MicroMasters MicroMasters are the advanced and graduate-level courses that can be applied toward a real Master’s degree at a few certain institutions.

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Dataquest Dataquest foregoes video lessons in favour of an interactive textbook of sorts. And every topic covered in the data science track is accompanied by several interactive coding steps in-browser that will guide you through the process of applying the specific topic you’re learning.

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Statistics and Data Science MicroMasters This MIT MicroMaster’s is more focused on statistical content than the UC San Diego MicroMaster mentioned earlier in the list. Because of its complexity, you should be familiar with single and multivariate calculus, as well as Python programming.

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Actuary:  Actuaries assess and manage risks in various industries such as insurance, finance, and consulting. They use statistical models and mathematical skills to analyze data and predict future events 

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Market Research Analyst:  Market research analysts study market conditions, consumer behavior, and competitors to help businesses make strategic decisions. 

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Biostatistician:  Biostatisticians work in the field of public health and medical research. They design studies, collect and analyze data related to diseases, treatments, and health outcomes.  

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Quantitative Analyst:  Quantitative analysts, also known as "quants," work in finance and use statistical models and mathematical techniques to analyze and predict market trends. They work for investment banks 

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