EPISODE · Mar 25, 2020 · 1H 1M
351: Self-Starting In Data Science
from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn
Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience. In this episode you will learn: Where did Stratos start? [6:16] How to keep the momentum for learning [12:20] Stratos’s goals [19:35] Planning the steps to getting a data science job [23:01] Triad for successful interviews [32:47] Application process [34:53] Experiences from the first data science job [45:51] Additional materials: www.superdatascience.com/351
What this episode covers
Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience. In this episode you will learn: Where did Stratos start? [6:16] How to keep the momentum for learning [12:20] Stratos’s goals [19:35] Planning the steps to getting a data science job [23:01] Triad for successful interviews [32:47] Application process [34:53] Experiences from the first data science job [45:51] Additional materials: www.superdatascience.com/351
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351: Self-Starting In Data Science
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