my mentions - c,c++,python,oops,computer networks,ml,statistics,data analysis. (PI round)
Q- Introduction
Q- Hobbies
Q - Projects - mine was on ml and data analysis.
Q - what tools are used in projects and various questions on tools like what numpy is used for and how it is different from tool pandas and which is faster.
Q- projects done on c++.
Q - types of access modifiers in c++ and differences between them.
Q- python - the difference between lists and tuples
Q- computer networks - what field interests you most in cn.
Q - the difference between routing and switching, different types of routing algorithms with examples, what is ping and how it is implemented.
Q- ml - projects done on ml
Q- what is ml, how ml is different from data analysis.
Q- statistics - mean, average, median, mode, normal distribution, standard distribution, spread, what will happen if data is not in bell curve form.
Q- data analysis-projects done on data analysis
Q- what is data, the difference between data and information, why data is so important
Q- why data analysis interest you so much.
Q- is video is data and how.
Q- the difference between video analysis and data analysis.
Q- latest technologies trends -do you know questions- big data, data warehouses, cloud computing, cyber security, e.t.c.
There were more questions, can't recall all of them. Be honest and try to mention topics that you studied.

Question

my mentions - c,c++,python,oops,computer networks,ml,statistics,data analysis. (PI round)
Q- Introduction
Q- Hobbies
Q - Projects - mine was on ml and data analysis.
Q - what tools are used in projects and various questions on tools like what numpy is used for and how it is different from tool pandas and which is faster.
Q- projects done on c++.
Q - types of access modifiers in c++ and differences between them.
Q- python - the difference between lists and tuples
Q- computer networks - what field interests you most in cn.
Q - the difference between routing and switching, different types of routing algorithms with examples, what is ping and how it is implemented. 
Q- ml - projects done  on ml
Q- what is ml, how ml is different from data analysis.
Q- statistics - mean, average, median, mode, normal distribution, standard distribution, spread, what will happen if data is not in bell curve form.
Q- data analysis-projects done on data analysis
Q- what is data, the difference between data  and information, why data is so important
Q- why data analysis interest you so much.
Q- is video is data and how.
Q- the difference between video analysis and data analysis.
Q- latest technologies trends -do you know questions- big data, data warehouses, cloud computing, cyber security, e.t.c.
There were more questions, can't recall all of them. Be honest and try to mention topics that you studied.

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