Following are the steps:
1. Educational Qualification:
i) Graduation with Mathematics/Statistics/Computer Science required (i.e. BSc./BE).
ii) PG degree or PhD degree will be preferable.
iii) PG course of Artificial Intelligence and Machine Learning also preferred.
2. Get hands on Practice on Data Analytics tools like Python, R, Tableau etc.
3. Perform live mini projects on data analysis. For example to find loan defaulter from the given bank data set.
4. Learn deep learning with neural network and use frameworks like Tensor-flow and Keras etc.
5. Learn basic of cloud computing tools like AWS and Azure etc. will be additional advatage for you.
6. Become professional in Python, R and SQL queries.
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