Best way to learn quant skills(python/SQL)
Hi guys,
I'm totally new to this field of quantitative analysis. Hoping someone would provide some color here.
I have been working in capital markets/investment management field for the past 7+ years before recently getting caught up in the middle of organizational change(M&A).
Given more free time on hands, I want to take this opportunity to develop new skills in quantitative analysis.
The main area of focus is using economic/financial data to help me with decision making process including predicting trends, building financial models, monitoring performance, and etc.
My knowledge of programming is None. I do use excel extensively at work, but do not know how to use VBA or Macro.
I realize that the statements are very generic and broad based, but bottom line is to develop more data-centric and independent quantitative framework.
So, what would be the best strategy to speed up the learning curve given more free time until I find the next opportunity?
1) What language/coding/programming should I be focusing on?
2) Intense offline courses if there is any?
3) Would certificates in Big Data Analytics from Ryerson or York help?(I have pretty good stats knowledge from econ background, so do not want to waste time learning about stats concepts)
4) What are some good online resources?(udemy, coursera, datacamp; which I have found from other posts)
Would love to hear everyone's thoughts and share your experiences.
Thanks in advance for everyone's inputs.
I'm totally new to this field of quantitative analysis. Hoping someone would provide some color here.
I have been working in capital markets/investment management field for the past 7+ years before recently getting caught up in the middle of organizational change(M&A).
Given more free time on hands, I want to take this opportunity to develop new skills in quantitative analysis.
The main area of focus is using economic/financial data to help me with decision making process including predicting trends, building financial models, monitoring performance, and etc.
My knowledge of programming is None. I do use excel extensively at work, but do not know how to use VBA or Macro.
I realize that the statements are very generic and broad based, but bottom line is to develop more data-centric and independent quantitative framework.
So, what would be the best strategy to speed up the learning curve given more free time until I find the next opportunity?
1) What language/coding/programming should I be focusing on?
2) Intense offline courses if there is any?
3) Would certificates in Big Data Analytics from Ryerson or York help?(I have pretty good stats knowledge from econ background, so do not want to waste time learning about stats concepts)
4) What are some good online resources?(udemy, coursera, datacamp; which I have found from other posts)
Would love to hear everyone's thoughts and share your experiences.
Thanks in advance for everyone's inputs.