
Data scientist, what an appealing definition, but what kind of skills and which tools do you need to start? What is a good definition of data scientist?
Let’s discover on the web some good resources that will help us
Bernand Marr, in his “9 steps to become a data scientist from scratch” makes a good syntesis. I just reported what I like most:
- Math & Statistical skills: mmh, not very appealing in some cases. I remind my study in Statistics and how much theoretical looks like. Probably I will discover soon that could be used in a more pratical way.
- Learn tools: most of the activity will be cleaning your data to make good analysis. Remember garbage in, garbage out
- Community: life of data scientist in same cases is not easy, many different tools and languages to be used. Having some peers and community places where asking help and support is fundamental.
- Practice: someone has said that 90% of what you will learn is training by doing. I don’t know if the percentage is realistic, but certainly what I have learn most is from my trials, success and fortunately from my mistakes