Which degree is better mathematics or statistics to become a data scientist?

If I may make a suggestion, I would consider looking into pursuing an Advanced Professional Graduate Program in Data Science and Machine Learning online (Full-Time). In recent years, several trustworthy online resources have made this possible, including LinkedIn Learning, SimpliLearn, and the National Institute of Information Technology. NIIT has a stellar reputation, thus I would recommend them. Their training is often updated to reflect developments in the field. Their expert professors teach students anything from how to use Python for programming to how to set up and configure Linux.

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Data science should not be mistaken for statistics. Although these two areas combine similar skills and share common goals (like using a large amount of data to reach conclusions), they are unique in one clear aspect. Data science, which is a newer field, is heavily based on the use of computers and technology. It accesses information from large databases, uses code to manipulate data, and visualizes numbers in a digital format. Statistics, on the other hand, generally uses established theories and focuses more on hypothesis testing. It is a more traditional discipline that has, from a broad perspective, changed little over the last 100 years or more, while data science has essentially evolved with the rising use of computers. So B.Sc. Statistics is very close to Data Scientist hence should go with B.Sc. Statistics. Further, 12th marks above 90% can be good enough for Loyola College.

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