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Approach for Mastering Data Science

Few tips to Master Data Science

1)Do not start your learning with some software like R/Python/SAS etc

2)Start with very basics like 10th class Matrices/Coordinate Geometry/

3) Understand little bit more about

a)matrices like transpose/Inverse/Symmetric/Idempotent matrices/SVD/Eigen values and Vectors/Orthogonal Matrices etc

b)Vectors like subspace/span/basis/linear combination/Linear Dependent/Linear independance etc

c)Coordinate Geometry like Equation of st:line/Perpendiculat distance/Parallel distance etc

If you do not understand above,you can not beoome a data scientist as those are very basics.

4)Start with Statistics for Management by Levin abd Rubin

then get into the books which I mentioned in previous message



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Saumya Rajen Shah | 28/07/2017

Python/R is not a software. They are programming languages. You can implement machine learning and data analytics without libraries too. and that is pretty difficult task. SAS is a software. That point is so misleading, correct it.

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