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Big Data > Which are the best course, big data or data science,...
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Which are the best course, big data or data science, for beginners with a non-tech background?

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Computer Science and IT professional trainer

big data
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Teaching in a practical and fun way is my way 😊

A good question! For the non-technical person, I would recommend learning python by heart. After you know python, then you can decide because every latest technology is using python only. Happy learning! Ps: for non-technical people also, python is easy.
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An Artist with 3 years of experience in Crafting and Dancer

From my point of view, it's data science.
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Chess Coach

You are saying that you are from non technical background so it is better to choose Data science even lot of people from commerce group's joining in this. You should have a passion to learn then there is a lot of opportunities out side. All the best
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Mathematics teacher and Engineering professor with 12 years of teaching experience

Data science would be my suggestion.
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Coding for kids Scratch, Code.org, python

I would suggest Data science.
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Even if you're coming from Non-Tech background, if you're strong in mathematics then with no doubt you can choose Data Science. Additionally Learning python programming would help you a lot.
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IT Professional Trainer with 4 years of experience in IT Industry and 3 years in teaching

Both are good; the best will be data science. It has more scope in analytics.
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Design Engineer and having 3+years of Experience in Teaching.

Hi Priya as a experienced trainer i would recommed you go for Data Science, If you don't want go indepth understanding of programming you can choose Big data. Currently Both are Emering domins, You can choose By taking my comment as referance.
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Get a Fantastic business analysis training online.

Data science is best course, you can able to learn quickly as you are from non tech background. Data science is all about the analysis of data and interpretation. If you are one who is willing to learn on daily basis then I would suggest to go with data science. Practice and learning is necessary.
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