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Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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My teaching experience 12 years

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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Related Questions

Currently I am working as a tester now, and looking to get trained in Data scientist.

Will that be a good decision, if I change my stream and move to data scientist field ?

Yes, I used to work in software testing in 2014. After, my master's from IIT Guwahati, now I am working as a research engineer in Machine learning domain. Data Science is a beautiful field. It involves...
Venkata
What background is required for data science?
Data science includes AI ,MachineLearning ,Satictics, presentation technique and deployment tools . DS helps to predict the future trends, what measures can be taken. Anyone with python programming, Statistics and presentation skill.
Shivani
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How to learn Data Science?

Data Science is a vast field. First of all you should learn statistics which is very important in Data Science field. Then you need to learn about basic Data Analytics and concepts. Languauges like SAS,...
Hdhd
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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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