How I Would Learn Data Science with ChatGPT (If I Could Start Over)
<p>Learning how to learn is one of the most useful skills you can cultivate.</p>
<p>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.</p>
<p>As though I’d learnt something new.</p>
<p>That feeling, however, was always fleeting, because every time I tried to put what I learnt into practice, I failed.</p>
<p>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.</p>
<p>Yet, I wasn’t able to work with real datasets.</p>
<p>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.</p>
<p>Then I’d go down a rabbit-hole of taking new online courses to fill the gaps in my knowledge.</p>
<p>This endless cycle is known as the <strong>tutorial-trap</strong>, and I was stuck in it for two years.</p>
<p><a href="https://towardsdatascience.com/how-i-would-learn-data-science-with-chatgpt-if-i-could-start-over-8e1f6ae4bb80">Website</a></p>