786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
May 24, 2024
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Kirill Eremenko, CEO of Super Data Science, shares six key insights on data science careers, emphasizing practical skills, strong portfolios, mentorship, and collaboration. He discusses the importance of incorporating machine learning into web apps for enhancing employability and highlights the diverse backgrounds of remote-working data scientists.
Formal education not essential for data science; focus on practical skills.
Building and showcasing portfolios crucial for securing data science positions.
Deep dives
Insights on Data Science Careers
The episode delves into six major insights on data science careers. First, formal credentials are not a requisite for data science roles. Second, mentorship can be vital in a data science career, emphasizing the importance of reciprocal relationships. Third, building and showcasing portfolios are essential for securing data science positions. Fourth, hands-on labs provide practical experience to enhance portfolios and learning. Fifth, collaborations among community members enhance the learning experience. Finally, data scientists come from diverse backgrounds and can work from anywhere with internet connectivity.
No Formal Credentials Needed
Contrary to many careers, a formal education or specific certifications are not mandatory to pursue a data science career. This flexibility allows individuals from various backgrounds to transition into data science roles based on their practical skills and experience, rather than formal qualifications.
Importance of Portfolios
Portfolios play a crucial role in showcasing a data scientist's capabilities to potential employers. By presenting completed projects and demonstrating hands-on skills, individuals can effectively highlight their expertise and suitability for data science roles, bypassing traditional qualification requirements.
Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.