Ok so I thought it was about time we got into the nitty gritty of some “financial analysis”, rather than have me spout info regarding available beginners courses like I’m some sort of salesman. “I want to do some analysis”, I hear you scream…
Well ok then…let’s start. With the Python Pandas module.
So financial analysis usually starts by asking questions. I mean, our analysis has to be focused on something right? Data/financial analysis is just a tool, rather than an end in itself.
As promised in the last blog post, it’s time to review some of the beginner resource material mentioned previously, aimed at those who want to learn Python.
I’ve decided to start off with the courses provided by Coursera (www.coursera.com). They were my second port of call after www.codecademy.com when I first started learning Python on and off, about a year ago.
Firstly, the courses are free! Call me a cheap skate but when I find quality material, available in all its glory for “nada” dollars…well you’ve caught my attention!
Ok, so…it’s time to get started. I thought the best thing to begin with would be to do a bit of research regarding available resources for beginner Python students.
As I mentioned in a previous post, I have dabbled on and off (although very lightly) with learning Python, using some starter resources over the last year or so. This means I already have a short list in my mind of those resources and courses I’ve stumbled across so far that seemed half decent, and wish to revisit in a more serious manner.
I will be posting here regarding my journey to learn Python for use in designing and building automated trading strategies, along with general data analysis and perhaps (eventually) some web based python involving Flask and Django.
I have been meaning to do this for some time (especially on the automated trading strategy side of things), having worked as a trader for many years for various managed futures funds and hedge funds in London. I have dabbled on and off over the past year or so with sites such as www.codecademy.com and MOOC providers such as EDX, Coursera and Udacity, but have now decided to make a concerted effort. I will be aiming to use the MOOC providers mentioned previously (who doesn’t like free stuff), along with some hand selected, paid courses from Udemy and any other worthwhile resources I can get my grubby little hands on.