From the course: Twelve Myths about Data Science
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Recap
- All right, we've been on quite the ride, busting myths left and right, flipping some longstanding data science beliefs on their heads. From debunking the AI cure-all fantasy to throwing shade on the more data, better results mantra. We've dug deep into the heart of what makes data science tick. What we've unpacked is that data science isn't just about crunching numbers or letting AI do all the heavy lifting. It's way more nuanced. It's about blending hardcore technical skills with a solid dose of critical thinking and not forgetting a pinch of ethical consideration for flavor. It's less about hoarding data like there's no tomorrow, and more about sparking the right conversations, making sense of what's in front of us, and knowing the bounds of our digital tools. We've sifted through real-life scenarios and leaned on cold-hard facts to call out these myths. And guess what? Falling for these tall tales can lead us down some pretty sketchy paths, from chasing wild goose chases to…
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