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Which is better to study, data science or big data?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Choose data science if you want to analyze data for insights and predictions using techniques like statistics and machine learning. Choose big data if you're interested in working with large volumes of data and technologies like Hadoop and Spark for processing and managing data infrastructure. Both fields...
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Choose data science if you want to analyze data for insights and predictions using techniques like statistics and machine learning. Choose big data if you're interested in working with large volumes of data and technologies like Hadoop and Spark for processing and managing data infrastructure. Both fields are valuable and can lead to rewarding careers, so consider your interests and career goals when deciding.

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My teaching experience 12 years

Comparing data science and big data analytics in terms of superiority is subjective as they serve different purposes. Data science focusses on extracting insights and building predictive models, while big data analytics emphasises processing and analysing large volumes of data.
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C language Faculty (online Classes )

Comparing data science and big data analytics in terms of superiority is subjective as they serve different purposes. Data science focusses on extracting insights and building predictive models, while big data analytics emphasises processing and analysing large volumes of data.
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Related Questions

Which are the best course, big data or data science, for beginners with a non-tech background?
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Priya

I want to get into data science but I dont have any prior knowledge on any of the programing languages, how do I go about it?

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Vamsi

I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal

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