Performing Data Science: A Musician's Perspective
summary
Argues that liberal arts and performing-arts backgrounds map to the domain-expertise circle of data science and that the barrier is practice not innate talent, citing the 10,000-hour myth vs Anders Ericsson’s finding of ~7400 hours for top violinists and emphasizing deliberate practice (SMART goals, targeted feedback, recovery). Notes imposter syndrome prevalence (~70%), links confidence to competence via the Dunning–Kruger curve, and recommends courses, meetups, certificates and on-the-job projects to learn math and coding while leveraging creative skills for feature engineering and communication.
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chapters (7)
- 0:00Start
- 6:07Impostor Syndrome
- 6:56REASONS WHY A GOOD THING HAPPENED TO YOU
- 10:12Outliers
- 13:00Deliberate Practice
- 18:27Left brain
- 20:49NOT SURE IF APPLYING TO GRAD SCHOOL BECAUSE SCARED OF THE FUTURE
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