What do you need to know to become an intern in Data Science?

Question

IT education

I finished the 11th grade and I realized that I was interested in the direction related to Data Science. I perfectly understand what I need: to know English, at least at the level of watching video lessons and reading books, to have a good mathematical base in such disciplines as mathematical analysis, statistics, linear algebra. I also have a little knowledge of machine learning algorithms, such as unsupervised learning, supervised learning, neural network algorithm, convolutional neural networks. But this is where my knowledge ends ... I understand perfectly well that this is not enough even to become a trainee.

Can you tell me how libraries are used in python besides pandas, keras, tenserflow, matplotlib and numpy? What algorithms do I still need?

Answer 1

Scipy, scikit-learn, statsmodels..... the main thing to understand is that Data Science is not about knowing the fit() and predict() methods. And in order to become a true specialist in this field, it is necessary to move from "a good mathematical base in such disciplines as ....." to their real and in-depth study.

Answer 2

What you listed is enough for the middle. Unless SQL and databases are not enough.
It is important to understand that the task of a "scientist" is to find and explain the nature of relationships in data. And how you will do it - with the help of ml-models or simply uploading data to Excel - this is the tenth thing.
But in order to explain relationships in data, first of all, you need mathematics. Namely, statistics and probability theory. And a pretty good base.

Answer 3

The subject area with the data from which you are going to deal. There are no abstract spherical data in a vacuum.