You can (and should!) learn also by reading, listening (lectures, podcasts), thinking, visualizing algorithms with flowcharts, by drawing them etc. Also, writing code is just one part of programming. Be patient, and stick to one language and a few resources learning that language. a lot of math).īut my biggest tip is to not get discouraged. and more advanced quantitative topics (i.e. Later lectures go through ton of interesting topics, including linear algebra, time-series analysis, basic economical models, asset pricing etc. 2+ years professional experience in software development in languages like Python, R, Spark & SQL. The 'lectures' are free to read through online, and provide examples and exercises. minimum 2 years Experience in machine learning, statistical modelling, quantitative analysis, Forecasting, data visualization, recommendation engine etc. Maybe not the best for learning the basics of programming, because it goes through them relatively fast - but it does start assuming that you have zero knowledge of Python (for example goes through step-by-step on how to setup a Python environment, installing and using Git etc.). QuantEcon is a really good resource, albeit more focused on economics.
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