A self-educated data scientist outlines a pragmatic path to success in data science, emphasizing core coding skills, practical project experience, and the need to overcome rigid gatekeeping attitudes.
i really like this take, makes data sci feel real. i’ve had some rough patches too while experimenting with quirky projects. did any one else have a moment that changed ur approach? would love to hear more about those turning points.
I have personally experienced the value of self-driven learning while navigating the field of data science. Early in my career, I encountered challenging gatekeeping attitudes that initially threatened to discourage my efforts. However, by focusing on practical project work and consistently honing my coding skills, I was able to build a strong foundation and an impressive portfolio that speaks for itself. This journey has taught me that hands-on experience, combined with self-motivation, is key to overcoming obstacles and proving competence in a competitive domain such as data science.