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&rsquo;d get a momentary feeling of accomplishment.</p> <p>As though I&rsquo;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&rsquo;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&rsquo;t know about.</p> <p>Then I&rsquo;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&nbsp;<strong>tutorial-trap</strong>, and I was stuck in it for two years.</p> <p>Until I learnt how to learn.</p> <p><a href="https://towardsdatascience.com/how-i-would-learn-data-science-with-chatgpt-if-i-could-start-over-8e1f6ae4bb80"><strong>Visit Now</strong></a></p>