Can someone from a mechanical background with no experience 30 to 35 backlogs since 2021 transition into studying data analytics?

Question

Danish Ali Khan · Accepted Answer

Considering you attended a top 10 ranked college in India, you nonetheless have suitable chances, provided you make up for your backlogs (and CGPA) with an extremely excellent GRE/TOEFL. Moreover, you nevertheless have your LORs and SOP in your hand at the moment, which play a very indispensable role in the decision. If you control to get an LOR from your dean/program manager, who would have viewed you clear your backlogs, it would be nothing like it! It would of course be challenging for you to bag a top 20 or a scholarship. But yeah, if you think about the factors of the software that you have in your hand at the moment (You can't do whatever about your GPA/backs) , I'm positive you can make it. Try getting 330 in GRE and at least a hundred in TOEFL.
Don't ever allow each person tell you that you cannot make it. Hard work and willpower constantly wins! I'm sure you can make it. Hope this helps. Best of luck. Message me in case you want on GRE/TOEFL learn about material. 
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XAVIAR X · Answer

Absolutely, someone from a mechanical engineering background can transition into studying data analytics. This field is notably interdisciplinary and values diverse skill sets, including those developed through engineering studies. Your background in mechanical engineering likely provided you with strong quantitative and analytical skills, which are crucial in data analytics.
To make this transition, you should consider enrolling in a preparatory or bridging program that covers essential data analytics concepts. Many universities now offer pre-master&rsquo;s programs or graduate certificate programs designed to prepare students from non-traditional backgrounds for advanced study in analytics.
Look for master&rsquo;s programs in data analytics that offer foundational courses as part of the curriculum. Programs that emphasize practical experience, such as internships or capstone projects, would be particularly beneficial. These opportunities allow you to apply analytical theories in real-world scenarios, thereby enhancing your learning and employability.
In summary, with the right preparatory courses and a commitment to learning new technologies and methodologies, transitioning into data analytics is a realistic and achievable goal. Be sure to leverage any analytical skills you&rsquo;ve gained in your mechanical engineering coursework and consider how these can be applied in data analysis projects.