Pedro Araujo - The Data Science skills you already own | PyData Global 2023

Discover how to recognize and value the data science skills you already possess, and learn how to develop a more effective and confident approach to data-driven decision-making.

Key takeaways

Data skills already owned by individuals may not be recognized or valued due to fear of missing out (FOMO) or external pressure.
Communication skills are essential in data jobs and should not be considered “soft skills”.
Data skills can be developed as a team, and one should focus on internally objectives rather than just external achievements.
A horizontal bar of general skills is not enough; a vertical bar of specific skills is necessary for success in a data-related job.
The T-shaped person, with both general and specific skills, is more valuable and likely to succeed in a data-related job.
Recognizing and valuing one’s existing skills can help overcome FOMO and lead to a more confident and accurate self-perception.
Developing data skills is essential for data scientists, and data-driven decision-making is crucial in the field.
The cutting edge is always moving, and one should be willing to continuously learn and improve.
External pressure can lead to fear and stress, while internal motivation is more conducive to success.
FOMO can be overcome by recognizing and valuing one’s existing skills and focusing on internally objectives.
The T-shaped person is more adaptable and can better navigate complex situations.
The ability to communicate complex topics in simple terms is a valuable skill in data science.
The concept of the T-shaped person applies to many fields, not just data science.

Pedro Araujo - The Data Science skills you already own | PyData Global 2023

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