What is a Data Scientist?
The most common definition of a Data Scientist is that of an expert in solving complex problems in different disciplines (finance, marketing, industry, etc.) making use of data analysis with statistical and computer tools.
Much has been written about what is now considered to be the sexiest professional career of the 21st century. In order to become one of them, a long path of assimilation of new technological and mathematical knowledge, as well as a set of personal skills, awaits.
Nowadays, this path can be easily initiated due to the wide course offer and the vast online community. This path seems to have no end, because being a Data Scientist is much more to acquiring this set of capabilities in a short period of time. It requires a maturity and learning process that can only be achieved through experience, adaptation to change and the effort to continuously learn new things.
Aptitudes and attitudes
You can consider up to six skill groups that shape this complex profile:
There are many attempts to outline the capabilities this profile needs, as well as the path that those who want to develop their career in this field must follow.
What path to follow to become a great Data Scientist
This infographic from Swami Chandrasekaran is a good example of the path to follow:
Another interesting example would be to start studying and analysing this Periodic Table:
Most common technological standards in the Data industry:
If we want to have a more complete vision of the set of technologies, we can also check theBig Data Landscape 2018
👉 Now that you know a bit more about this new role, keep reading a see which would be your Data Scientist profile.