What characteristics should a data scientist have?

Hi again, everybody! Several people have asked me lately "how can I learn data science and machine learning ?", "Do you recommend any books or masters?", " in this post, I will try to give my vision of how to learn data science on your own since I consider that in a self-taught way you can learn a lot without having to spend a lot of money.

First, it is good to define what a Best data science Training in Bangalore is and the characteristics that, ideally, it should have. I am not going to elaborate much on this part since there are many websites that deal with this topic and it is not the objective of this post.

We can define data scientists as professionals who, using large volumes of information and of different types, solve business problems and obtain answers from data.

Although there is no “typical” Best data science training in Bangalore, since each project is a world, companies generally start with a structure similar to this:

• It is required to solve a business problem or answer a question.
• The Best data science Training in Bangalore should obtain data from the source that was intended to solve that question.  Structured data (eg, databases such as SQL), unstructured (eg, images, audios) and semi-structured (eg, texts with a certain structure) come into play. In companies that are starting generally only structured data is used and accessed by a typical query language such as SQL.
• A series of techniques, algorithms, etc. are applied to this data. They try to solve the case. Here tools like Python, R, SAS, etc. are used.
• The final result obtained can be an analysis, productivity of some statistical model, results for the business, etc.

The steps I recommend to get into data science are the following:

1. Learn to program it in R or Python. I prefer Python since it is more general-purpose and to learn the concepts of programming is relatively simple. Some knowledge of how to use the command terminal is also very useful.
2. Learn the basics of SQL and statistics. Generally, it is not necessary to be Don Chamberlin but it is essential to know how to make queries to join tables, make groupings, filters, etc. In the same way, it is not necessary to have extensive knowledge to start with data science training in Bangalore, but concepts such as measures of dispersion, centrality or hypothesis tests are very useful.
3. Know machine learning algorithms and start programming them, using public open data, competitions, etc.