[IBM]What is Data Science? -My thoughts

There are many different ways of defining the word "Data Science". But it is very obvious some of the skill sets are necessary and important to the people who do study data science. We call them "Data Scientist". 

Data Scientists can be out from various filed like engineering, statistics, economics, physics, biologies, and so on. The important things are the capabilities of combining all different knowledge and information. Not only just combining them, but also be able to find the creative ideas out of certain connections between those unstructured or structured data. 

I agree that curiosity, judgemental and argumentative are the key characters for data scientists. In the meanwhile, this person should have tenacity and commitment to what he or she does. This is really critical part of being a data scientist. Many of them out there are trying to find a way to get a better or sexier job for the future. However, they might not consider whether that would work for them too as the others who already made it happened for themselves. 

So I would say that anyone out there, who wants to be a data scientist (I think I am talking to myself), really need to think that if this is the right work path for you. And if you decide, then don't put it down and keep working on it, even if you cannot see a grand process right now. I am sure every single of these little activities would bring you some pieces of a clue for your future job. One day, you would realise that the one you learned from sometimes you cannot even remember gives you incredible ideas or solutions for the issues you're facing to. 

 

What is Data Science?

Data Science is a process.

Storytelling

Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations.

 

Fundamentals of Data Science

the significant data analysis component 

the vast amount of data such as log data, sensor data etc. 

can help organizations: analysing existing issues, to provide the best way of uses

clarify the question, business needs 

 

what data do we need and where it comes from?

- structured or unstructured 

- explore the patterns and structures 

- insight -> storytelling, communicate with the project stakeholders, recommend actions to take

 

Advice for New Data Scientists

According to professor Haider, the three important qualities to possess in order to succeed as a data scientist are:

: curious, judgemental, argumentative