How I Would Learn Data Science with ChatGPT (If I Could Start Over)

Learning how to learn is one of the most useful skills you can cultivate. When I first started teaching myself programming and data science in 2018, I enrolled into countless online courses. Every time I completed a course and got a certificate, I’d get a momentary feeling of accomplishment. As though I’d learnt something new. That feeling, however, was always fleeting, because every time I tried to put what I learnt into practice, I failed. Theoretically, I understood how classes, methods, and object-oriented programming worked. I knew the difference between random forests and decision trees, and grid search versus Bayesian optimization. Yet, I wasn’t able to work with real datasets. Every time I tried to build a new project, I would come across a roadblock and encounter yet another topic I didn’t know about. Then I’d go down a rabbit-hole of taking new online courses to fill the gaps in my knowledge. This endless cycle is known as the tutorial-trap, and I was stuck in it for two years. Until I learnt how to learn. <a href="https://towardsdatascience.com/how-i-would-learn-data-science-with-chatgpt-if-i-could-start-over-8e1f6ae4bb80">Visit Now</a>