Hi,
I want to apply the next year but I have a non-technical educational background. I didn't take advanced maths courses when I take my bachelor in business administration and I have a master in finance from one university of Chile (latin america)
But I have work on a technical economic institution (a Central Bank), I work on macroeconomic statistic. Any advice of how can robust my application? I will take the GRE but also I need a plan to demonstrate: "who may not have studied computing exclusively, but who have studied a considerable amount of computing already". I aproved the MOOC: "Introduction to Computer Science and Programming Using Python" of the MIT on EDX and also I have in mind complete the following courses:
- Introduction to computational thinking and data science (MIT - EDX)
- Introduction to probability part 1: The Fundamentals (MIT - EDX)
- Artificial Intelligence (Columbia Micromaster course EDX)
- some courses of the algorithms specialization from coursera
is recommendable the plan of demonstrate experience with MOOC credentials? or instead is more preferable another strategy? Exist many online courses on more advanced topics e.g. deep learning (Andrew Ng. specialization on coursera), robotics (one of the micromaster course in Artificial Intelligence of Coulmbia-EDX). But in my opinion, is more recommendable to build a solid foundation instead of taking those courses if I want to purse a posgraduate course.