To be honest I find entire DS field so vague that I can't find actual roadmap of learning. I am actually a programmer for 10+ years and pretty much interested to get into
Data related field. My stats and math suck at this moment.
My question is, is it Ok that I use my programming skills and jump right onto Machine Learning/Analysis tools like WEKA, Python Scikit etc and use their algorithm for understanding and keep studying/learning theory in parallel. Right now in terms of Data, I am already involved in:
- Data Processing(RDBMS)
- Data Scrapping(Python)
What I am thinking the logical steps are:
- Data Mining
- Data Analysis (sentiment analysis etc)
- Data Presentation/Visualization( D3 etc?)
- Machine Learning Kit/Libraries
I have given myself a 6 month time to get into this field.