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Data science scores eligibility. So like in order to be a data scientist, at least 60 to 70% marks are something better from your graduation like beta or degree or anything. At least so I don't say like 12 it need to have a minimum degree like at least four years of degree going to be something very important, at least 60 to 70% mark. And the next thing is having a math background is something very, very important. So if you are having a math background means like in data science, machine learning concept and the next thing is having a math background is something very very important. So if you are having a math background means like in data science, machine learning concept and the next deep learning concept is a lot of math. So if you are from a non mathematical background, you may find a bit difficulty to get adopted to all this mathematical terminologies and all that you may lose that motivation. So if you are from complete non mathematical background, choose something like data like data analytics but if you are from math background go with data science. And the next thing is programming I don't say it's very important you can learn programming that's not a big deal and the next thing is if you are able to be a good and fast learner then going to be an advantage to be a data scientist.

Data science scores eligibility. So like in order to be a data scientist, at least 60 to 70% marks are something better from your graduation like beta or degre…

Ideas in this flowchart

  • Data Science Eligibility
  • Academic Requirements
  • Graduation Marks
  • Minimum 60-70% Marks
  • Degree Importance
  • Math Background
  • Importance in Data Science
  • Machine Learning Concepts
  • Deep Learning Concepts
  • Non-Math Background Challenges
  • Alternative: Data Analytics
  • Programming Skills
  • Learnable Skill
  • Fast Learning Advantage
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Data science scores eligibility. So like in order to be a data scientist, at least 60 to 70% marks are something better from your graduation like beta or degree or anything. At least so I don't say like 12 it need to have a minimum degree like at least four years of degree going to be something very important, at least 60 to 70% mark. And the next thing is having a math background is something very, very important. So if you are having a math background means like in data science, machine learning concept and the next thing is having a math background is something very very important. So if you are having a math background means like in data science, machine learning concept and the next deep learning concept is a lot of math. So if you are from a non mathematical background, you may find a bit difficulty to get adopted to all this mathematical terminologies and all that you may lose that motivation. So if you are from complete non mathematical background, choose something like data like data analytics but if you are from math background go with data science. And the next thing is programming I don't say it's very important you can learn programming that's not a big deal and the next thing is if you are able to be a good and fast learner then going to be an advantage to be a data scientist.

"Data science scores eligibility. So like in order to be a data scientist,"

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