I have started this website with a clear mission: to help all people that manage data, like Data analyst, Financial Controller, IT/IS people, Business partners and who else in the business that would like to base their decisions starting from robust data and analysis.
After many years as Finance Controller, Business Partner and Pricing Manager I have seen that people tend to maintain status quo. So changing is difficult, what I have discovered during my experience is that changes are more easy if you have robust data behind that help you to understand reason to change and benefit of new solutions.
Following Fromzerotodatascience.com you will:
– save time in your analysis using tips and tricks and most powerful tools (i.e Excel, Python,R)
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